The Evolution of Robotics

Robotics has come a long way since its inception. From the first industrial robots used on assembly lines to the humanoid robots that are now being developed, the evolution of robotics has been remarkable. However, the real breakthrough came with the introduction of AI-powered robots.

AI-powered robots are designed to learn from their environment, adapt to changes, and make decisions based on data. This means they can perform tasks that were once impossible for robots to do. They can navigate complex environments, recognize objects, and even communicate with humans.

The Impact of AI-Powered Robotics

The impact of AI-powered robotics on our daily lives is immense. They are used in a variety of industries such as healthcare, manufacturing, and logistics. For example, in healthcare, robots are used to perform surgeries, assist with rehabilitation, and even diagnose diseases. In manufacturing, robots are used to assemble products, perform quality control checks, and package goods. In logistics, robots are used to sort and transport goods, reducing the need for human intervention.

Moreover, AI-powered robots are not just limited to the workplace. They are being developed for use in our homes as well. For example, we now have robots that can vacuum our floors, clean our windows, and even mow our lawns. These robots are designed to make our lives easier, freeing up time for us to focus on other things.

The Future of AI-Powered Robotics

The future of AI-powered robotics is exciting. As we continue to develop and improve technology, we can expect to see robots become even more intelligent and efficient. They will be able to perform increasingly complex tasks, making them even more valuable in the workplace and at home.

However, there are also concerns about the impact of AI-powered robotics on the workforce. As robots become more advanced, there is a fear that they will replace human workers. While this is a legitimate concern, it is important to remember that robots are not here to replace humans, but to work alongside them. In fact, robots can take on many of the tasks that are dangerous or tedious for humans, freeing them up to focus on more important work.

Industry Applications of AI-Powered Robotics

Healthcare

AI-powered robots are transforming the healthcare industry by providing assistance to doctors and nurses in performing medical procedures. They can assist in surgeries, perform accurate diagnoses, and even interact with patients to provide emotional support. For instance, the da Vinci surgical robot system allows surgeons to perform minimally invasive surgeries with high precision and control. It has been used in over 6 million surgeries worldwide. Similarly, the Moxi robot assists nurses in hospitals by performing non-patient care tasks like fetching supplies, delivering specimens, and cleaning patient rooms.

Manufacturing

Manufacturing industries have extensively adopted AI-powered robotics to automate their production processes. Robots can perform repetitive tasks with high efficiency and accuracy, leading to reduced costs and increased productivity. For instance, Amazon’s Kiva robots are used in their fulfillment centers to automate package sorting and delivery. The robots can navigate around the warehouse, pick up packages, and transport them to the designated location, reducing the workload of human employees.

Agriculture

AI-powered robots are also making their way into the agriculture industry. They can perform tasks like planting, harvesting, and monitoring crop health, reducing the need for manual labor. For instance, the BoniRob robot is used to collect data on crops, such as color, shape, and size, to help farmers make better decisions. Similarly, the Robocrop harvester can autonomously harvest lettuce, reducing the need for manual labor and increasing efficiency.

Benefits of AI-Powered Robotics

AI-powered robotics offer several benefits, such as:

Increased Efficiency and Productivity

Robots can work tirelessly without getting tired or needing breaks, leading to increased productivity and efficiency. They can perform tasks faster and with higher accuracy, leading to reduced costs and increased profits.

Reduced Labor Costs

Robots can perform repetitive tasks that were previously done by humans, leading to reduced labor costs. This frees up human employees to focus on tasks that require human skills like creativity, problem-solving, and decision-making.

Improved Safety

Robots can perform dangerous tasks like handling hazardous materials or working in extreme conditions, reducing the risk of accidents and injuries to human workers.

Conclusion

In conclusion, we are entering a new era for AI-powered robotics. These robots are smarter, faster, and more efficient than ever before, and their impact on our daily lives is immense. While there are concerns about the impact on the workforce, it is important to remember that robots are not here to replace humans, but to work alongside them. As we continue to develop and improve technology, we can expect to see robots become even more valuable in the workplace and at home.

The post We Are Entering a New Era for AI Powered Robotics appeared first on SiteProNews.

It is important to understand that ChatGPT won’t necessarily replace people’s jobs; it will change processes to the point where employees will need to use AI/ChatGPT to do their tasks. Those who lose their jobs will be those who haven’t yet adopted the use of AI/ChatGPT. In my journey as the owner of Kairos Venture Studios, which specializes in launching new online businesses in the Latin American market, I have seen firsthand the many benefits of ChatGPT. 

Here are just a few ways to use ChatGPT to grow your business this summer and beyond:

Content Creation, But Not for the Website 

You may think it would be efficient to use ChatGPT to write informative blog posts and copy for product descriptions on your business website. However, don’t do this, as Google has already stated that AI-generated content is against their terms and conditions. Using ChatGPT to generate text for your website can cause it to be penalized and lose its ranking in the Google search engine, which can result in a major drop in business. 

Instead, I recommend using ChatGPT to write Twitter tweets, Facebook posts, and other text-based social media content. It can take a lot of time to come up with social media posts each day, which is why so many businesses hire specialists or employees to handle social content creation. However, if you don’t have the budget to hire someone to create text-based social media content, ChatGPT can take care of it. You can even train ChatGPT to write in your voice from analyzing previous emails, your other blog posts, etc. 

Creating an Outline for an Online Course

As a business owner, you likely have a ton of valuable expertise on a certain subject. For example, do you own a private investment firm that helps clients grow their wealth? You can launch an online course all about investment strategies, tips to ensure more financial freedom, and more. Launching an online course is a fantastic way to generate passive income for your business, so have ChatGPT help you get started! You can use ChatGPT to create the full outline for your online course, then you or an employee can fill in the course and build it.

Brainstorming Ideas for the Problems You Face

Are you struggling to get a major client project moving forward? Have your sales been declining for a while? Trying to figure out how to grow your social media presence? ChatGPT can help you brainstorm solutions for the challenges you face in your company. You can ask ChatGPT to come up with a list of solutions for a specific problem and then take the time to think over all of the options it generates. To be fully transparent, a lot of the presented ideas can be bad, but sometimes an AI-generated solution can lead you down the right path.

Generating Summaries of Video & Phone Calls

Do you usually have a team member write summaries of weekly video meetings and phone conference calls? This can take up a lot of valuable time, which costs your business money. On top of this, it can be easy for your team member to forget a major point that was made in the meeting, which can result in a lot of time-wasting back-and-forth emails. That said, I recommend using a transcription service like Otter.ai, as you can then copy the meeting summary into ChatGPT and ask it for a bulleted list of what was important during the phone/video meeting.

Generating Job Descriptions to Make Better Hires

If you really need to hire a new team member, writing the perfect description for your job post can be half the battle. If you get the wording wrong or don’t sell the position well, you can turn away the best candidates for the job. So let ChatGPT generate the job description for you! I recently did this for my own business and it helped me attract excellent candidates for the position I posted. You will likely need to tweak the description based on your company’s goals, but this will free up time for you to focus on other areas of your business. 

Customizing Customer Outreach Emails

Email marketing plays a vital role in the sales funnel — sending out weekly or monthly promotional emails to customer leads and checking in with current customers on a regular basis can help you land new business and enhance brand loyalty. That said, do you pay someone to write all your company’s email blasts, or do you handle this time-consuming task on your own? Let ChatGPT generate your outreach emails! Simply tell the chatbot exactly what to write about and it will come up with a full email blast for you. Then just copy, paste, and send!

Creating Copy for Google Ads

The first place most people go when searching for specific products and services is Google. Therefore, a robust Google ad campaign can really make or break a business. While it is paramount to target the right keyword phrases in Google, having messy, confusing, or grammatically incorrect ad copy can really turn away potential customers. So use ChatGPT to write succinct and attractive copy for all your Google ads. You may realize that changing your Google ad copy was all that was needed to supercharge your sales!

Writing Podcast Episodes

Podcasts have exploded in popularity over the years and are now a top source for information on all kinds of topics. Therefore, hosting a podcast all about your business’s industry can help you land a lot more customers! If you are finally ready to launch your podcast or already have one but are struggling to stick to a consistent recording schedule, use ChatGPT to write entire podcast episodes. Tweak the episode so it contains exactly what you want discussed, then you can feed the copy into a voice generation service. This will create an entire episode for you — NPR just did a whole show like this!

To Wrap It All Up

ChatGPT is revolutionizing the ways that businesses operate, so use this dynamic chatbot to bring your own enterprise to new heights. For example, use ChatGPT to write content for social media posts, create an online course, and brainstorm ideas for the problems you face in your company. You can also use ChatGPT to generate summaries of phone/video meetings, create descriptions for job posts so you attract the best candidates, and write podcast episodes. These are just a few ways ChatGPT can help grow your business this summer and beyond.

The post 8 Ways to Use ChatGPT to Grow Your Business This Summer appeared first on SiteProNews.

The reason for these failures can generally be attributed to two things. The first is a lack of awareness since, for people to support a project, they first must know it exists. The second is the lack of adoption. Once people become aware of a new project, they must see the value in getting on board.

Marketing has the potential to fix both of these problems because it delivers the content that crypto users need to understand, evaluate, and support a project. The following steps can assist in developing and deploying the type of crypto marketing campaign that can spark long-term success.

Cater to Your Market

Catering to the target market is key to successful marketing. The needs, preferences, and behaviors of the desired audience must be addressed by the campaign. If the message is not relevant, it won’t connect or prompt the desired response.

With a crypto project, crypto enthusiasts will typically be your target market, and they are not your average consumer — they are known to be against traditional advertising, suffering from what some call “banner blindness.” This means that much of your marketing will involve non-traditional channels.

For example, networking is an invaluable form of marketing for crypto projects. To earn trust in the crypto universe — which should absolutely be one of your top goals — you need to circulate in the crypto universe; meet people, shake hands, and attend events, including conferences and social media gatherings. This can also help you to connect with high-net-worth investors who typically spend their time beyond the reach of common marketing channels. The market may ignore your ads, but they will note your presence when you become active in their community.

Ideally, marketing will be built into the tokenomics of your project. An example of this would be including airdrops in your token distribution plan. Airdrops serve the double purpose of increasing awareness of your project and encouraging token use.

Focus On Your Goal

Awareness is an important first step for any crypto marketing campaign to succeed, but its ultimate goal should be its wider adoption. The target market for your campaign needs to see the use case for the project, meaning they will need to believe in its value.

The buyer’s journey involves advancing from awareness to consideration to decision-making, so your aim should be to guide people through each of those phases. Stay focused on what motivates people to get on board, who influences them, and where they connect by designing a funnel that takes these factors into account.

Partner with Experts

Working with experienced consultants will help you avoid the pitfalls that will slow you down and cost you credibility. Your job is to learn from their mistakes. Consultants bring wisdom and connections that you can’t get anywhere else, so think of what it costs to gain their help as an investment rather than an expense.

Because credibility is so critical to marketing crypto projects, public relations consultants can be especially valuable. PR is a proven tool for building credibility, as it positions you and your project as viable, trustworthy, and active in the crypto space. PR provides access to engaged audiences in the fintech, blockchain, and investing communities, opening doors for you and your project to pique interest and get people started on their buyer’s journey.

In the world of new media, influencers can be an additional key to building credibility and awareness around your crypto marketing campaign. While some deliver questionable value, no one cannot deny that influencers that deliver quality content and have built engaged communities around them can significantly boost the credibility and visibility of the projects they genuinely like.

Commit to Building Community

Community is equatable to currency in the crypto space. After all, a project won’t survive unless a strong community forms around it, so taking steps to build that community is a critical component of a successful crypto marketing campaign.

Building a community can start with using community-driven platforms like Quora and Reddit to spread the word, seek support, and provide information. Once you start to gain some momentum, establish space on Discord and Telegram to gather the community and stay in touch with them. Use these channels to encourage the community to be collaborative. The more feedback you receive, the more insight you will gain into how the project should evolve to become what the market will support.

Investing in a strong community is also a great way to fuel word-of-mouth marketing, as those who find a deep connection with your project can become fierce promoters. In addition, knowledgeable investors know that cultivating a vibrant community takes a high level of effort and commitment, so they will see this as an indicator of a healthy project.

Launch a Top-notch Website

Taking your project to online communities is important, but it also needs an online home that you can point people toward. The project’s website serves that purpose. It is where you share your vision, post your white paper, compile FAQs, and provide an always-on, up-to-date portal for people to connect with you.

Your website will also be a valuable forum for you to publish content, which is another important part of building credibility. The more you can do to establish yourself as a thought leader in the industry, the easier it will be to gain an audience for your project. You can accomplish this by authoring posts, producing videos, and hosting webinars or podcasts, all of which can be shared via your website.

When done correctly, a crypto marketing campaign gets a project in front of the right people in a way that builds credibility, attracts community, and differentiates it from the competition. The best campaigns will use a multitude of channels and opportunities to inspire potential investors to become committed believers.

The post How to Create a Successful Crypto Marketing Campaign appeared first on SiteProNews.

The online entrepreneurial game has been completely transformed by AI, with its miraculous abilities of learning, adapting, and automating.

AI has arrived like a superhero with a stylish cape. AI has your back, so stop wrangling with spreadsheets and tearing your hair out over consumer data analysis!

We’re plunging into AI and its significant influence on internet entrepreneurship in this mind-bending excursion. AI is here to take your business to astronomical heights, from tailored customer experiences that make your rivals envious to data analytics so clever they might explain why socks constantly disappear in the dryer.

So fasten your seatbelts, my fellow businessperson, and get ready for a thrilling journey into the world of artificial intelligence:

Power Of AI In Online Entrepreneurship

In the thrilling realm of online entrepreneurship, AI emerges as a superhero, wielding powers that can catapult businesses to dizzying heights. Picture this: AI swooping in, armed with personalized customer experiences that make hearts skip a beat.

Its data-crunching prowess unravels the secrets hidden within mountains of information, guiding entrepreneurs toward informed decisions. But that’s not all – AI has the extraordinary ability to streamline operations, banishing mundane tasks and freeing entrepreneurs to chase their wildest dreams.

And when it comes to marketing, AI is a maestro, orchestrating campaigns that mesmerize the right audience, hitting all the right notes. But the true spectacle lies in AI’s crystal ball, predicting trends and shaping the future of online entrepreneurship.

Embracing AI is not just a choice; it’s a quest for success in the digital frontier. So, don your entrepreneur cape and join forces with AI as you unlock a world of limitless possibilities where innovation and growth reign supreme.

5 Ways AI Is Revolutionizing Online Entrepreneurship

The Five Ways AI is Revolutionizing Online Entrepreneurship are as follows:

1. Personalized Customer Experiences: Igniting the Spark of Connection

In the vast digital landscape, standing out from the competition is crucial. AI comes to the rescue by offering personalized customer experiences that ignite a genuine connection. With AI-powered algorithms, businesses can analyze customer data and preferences to provide tailored recommendations and suggestions.

Whether it’s a personalized email campaign, a customized shopping experience, personalized digital displays at stores or a chatbot that offers instant assistance, AI ensures that each interaction feels uniquely tailored to the individual.

By understanding customer behavior and preferences granularly, entrepreneurs can bond with their audience, foster customer loyalty, and drive repeat business.

Customers appreciate the personalized touch, and businesses benefit from increased engagement and higher conversion rates. With AI as their ally, entrepreneurs can unlock the power of personalization and build lasting relationships with their customers.

2. Intelligent Data Analytics: Unveiling the Secrets Within

Data is the lifeblood of any online business. However, making sense of vast data can take time and effort. This is where AI-powered analytics come into play, transforming raw numbers into actionable insights.

AI algorithms can analyze complex data sets, identify patterns, and extract valuable information to help entrepreneurs make data-driven decisions with precision.

By leveraging intelligent data analytics, entrepreneurs gain a deep understanding of customer behavior, market trends, and competitive landscapes. As a result, they can uncover hidden opportunities, identify potential bottlenecks, and optimize their strategies for maximum impact.

From predicting customer preferences to identifying emerging market trends, AI-powered data analytics empowers entrepreneurs to stay ahead of the curve and make informed decisions that drive success.

3. Streamlining Operations and Processes: Efficiency is the New Cool

Running an online business involves multiple tasks, from inventory management to customer support. AI streamlines operations by automating repetitive tasks, freeing up valuable time and resources for entrepreneurs to focus on innovation and growth.

Whether it’s inventory management, order processing, or customer service, AI-powered systems can handle these tasks quickly and accurately.

Chatbots, for instance, provide instant customer support, answering common queries and providing assistance 24/7. AI-powered algorithms can also optimize supply chain management, predict demand patterns, and ensure inventory levels are always optimized.

By automating these processes, entrepreneurs can improve efficiency, reduce costs, and provide seamless experiences for their customers.

4. Enhanced Marketing and Advertising: Captivating the Right Audience

In the crowded online marketplace, getting the right message to the right audience is paramount. AI enhances marketing and advertising efforts by optimizing campaigns and delivering personalized messages that captivate and convert.

AI algorithms can analyze customer data, behavior, and preferences to identify the most relevant target audiences for specific marketing initiatives.

With AI, entrepreneurs can create hyper-targeted advertisements that resonate with their audience. In addition, AI-powered recommendation engines can suggest products and services based on individual customer preferences, increasing the chances of conversion.

Moreover, AI can analyze customer sentiment and engagement with marketing campaigns, allowing entrepreneurs to fine-tune their strategies for optimal results.

5. Predictive Analysis and Future Planning: Crystal Balls Made Smarter

Anticipating the future is a superpower that entrepreneurs desire. AI brings this power to the table with its predictive analysis capabilities. By analyzing vast amounts of historical data, AI algorithms can identify patterns, forecast trends, and make informed predictions.

This enables entrepreneurs to plan strategically, set future goals, and adapt their business strategies accordingly.

From predicting consumer demand to forecasting market trends, AI provides entrepreneurs with valuable insights to stay ahead of the competition. As a result, entrepreneurs can make proactive decisions, anticipate customer needs, and allocate resources effectively.

By embracing AI’s crystal ball, entrepreneurs can navigate the future with confidence, driving growth and ensuring long-term success.

Conclusion

AI has revolutionized online entrepreneurship, transforming every facet of business operations. From personalized customer experiences to intelligent data analytics, streamlined processes, enhanced marketing, and predictive analysis, AI offers unprecedented advantages.

AI use cases are diverse and extensive, ranging from personalized educational tutors that enhance learning experiences to digital signages that revolutionize the physical advertising world. In the realm of online advertising, AI offers super-smart digital marketing tools, enabling businesses to reach their target audience with precision and effectiveness. 

Entrepreneurs who embrace AI gain a competitive edge by providing tailored customer experiences and leveraging data-driven insights for strategic decision-making. In addition, by automating repetitive tasks, entrepreneurs streamline operations and focus on growth.

Additionally, AI optimizes marketing efforts by delivering personalized messages to the right audience. To ensure future success, entrepreneurs must recognize the importance of embracing AI technologies in the rapidly evolving digital landscape.

By embracing AI and continually pushing the boundaries, entrepreneurs can unlock new opportunities and propel their online businesses to greater heights.

The post Unlocking Success: 5 Ways AI is Revolutionizing Online Entrepreneurship appeared first on SiteProNews.

Everyday data gets collected for commercial use, business use, academic and scientific research, and personal use. It is important that the collected information is stored, sorted, filtered, analyzed, and presented. The process can be complex or simple depending on the scale of data collection and the complexity of the results needed to be obtained. The time for obtaining required results also varies depending on the operations needed to be carried out on the collected data and the type of output expected. The problem becomes complex when large volumes of data are needed to be dealt with. Thus, the need for data processing becomes more important.

Processes like data management and data mining ensure that optimal results are obtained while handling big data volumes. All stages of data processing starting from collection to presentation have a direct impact on the output and utility of the processed data. Processed data is easy to arrange, saves a lot of space, and can be easily understood by the employees.

Important Types of Data Processing

Let’s understand the most important types of data processing:

Business Data Processing

Business data processing involves using certain relational databases that use batch processing. In this huge amounts of data are fed into the system and output is produced by using fewer operations. The data managed by this system is generally standardized and the probability of mistakes is very low. Most of the tasks are mechanized with the help of computers so that they become easy and devoid of errors.

Scientific Data Processing

This category of data processing uses extensive computing procedures with a lesser number of inputs and outputs. The common computing operations used are arithmetic and comparison. No inaccuracy is accepted in this form of processing as it can result in faulty decision-making. Hence, data is verified, categorized, and standardized with great care and multiple scientific processes are utilized to ensure that there are no incorrect conclusions. Scientific processing of data takes more amount of time than business data processing.

Real-time Processing

Processing in real time is utilized when immediate output is needed. When any mistake is discovered in the incoming data, it is overlooked and the processing of the next block of data is carried out. A common example of real-time data processing includes GPS tracking programs.

Batch Processing

It is a kind of data processing in which multiple cases are processed at the same time. Batch processing is generally employed when the data is consistent and huge in volume and collected and processed in batches. In simultaneous batch processing, every case is performed by the same resource at the same time. In sequential batch processing, multiple cases get executed by the same resource one after the other.

Online Processing

Just like real-time data processing, online data processing services receive and process data simultaneously. However, with online processing, the user gets to extract data anytime and anywhere. Common examples of online data processing include bar codes and access cards.

Advantages of Data Processing

Organizations all over the world are engaged in the task of data processing. Here are the important advantages that efficient processing of data can provide:

Easy Report Making

In a majority of activities, data is widely used for collecting important values and making reports. Making reports took a long time when manual or offline data processing was used. Now, the process has been simplified owing to online processing and report-making has become fast. Once the data is processed and placed as per a particular framework, you can easily collect it with just a few clicks. The report looks authentic and organized as it contains pertinent information obtained after the logical processing of data.

Better Results and More Productivity

An organization with access to the right data always has an advantage over its competitors. To obtain the required information, data can be processed in multiple forms. Data analysis allows you to make an informed decision as you have the statistics and the important details with you. Any company with access to structured data for obtaining meaningful information always has an edge

A proper analysis of data offers you insight into the areas in which improvements need to be made. Important areas like data mapping and data visualization also need to be prioritized and addressed accordingly. The required area can be chosen for further processing of data or boosting sales. You can identify potential areas where you can reap the most benefits and invest in them to increase profits.

Easy Storage and Distribution

Storing large amounts of data in physical form requires huge space and there are also high chances of confusion and missing information. When data is processed using computers, you don’t have to worry about needing an extra room for storing all the important files and papers. Your data will be processed and labelled digitally in an accurate manner. Retrieving information from processed data is way simpler than retrieving from unprocessed data.

Accuracy and Speed

There are negligible to no chances of errors when data is collected and filtered using computers. You can guarantee that further processes will be carried out with utmost accuracy. Data processing can be done at a greater speed with more accuracy when the right software is used. This also offers a great advantage while working in a competitive environment. Processes like data cleaning, predictive modelling, batch processing, and data validation ensure the accuracy of data.

Safety and Security

When data is processed digitally, you can ensure that it is secure. With data becoming more sensitive with time, incidents like data theft have also become common. Data processing ensures the security of data by using multiple free and paid software. This prevents any unauthorized access to the data and keeps it safe. If needed, you can also encrypt your data. Processed data is easy to store, use, and work with. It can also be approached easily via clouds, emails, and other storage devices and apps.

Reduced Cost

Collected data acts as an asset for a group and when stored effectively, it becomes easy to access it when needed. This removes the need for collecting data again and again. Transferring and sending data also becomes easy and this in turn helps with cost reduction. The loss that a company might incur owing to a lack of information is also significantly reduced. This is because processed data allows a company to make an informed and wise decision.

Summing Up

Data processing plays a key role in making things organized and ensuring a smooth workflow. Making reports becomes easy as processed facts and figures help businesses in making quick analysis. All the unnecessary paperwork is eliminated and the search efficiency is improved as there is no need to go through data manually. For an organization looking to improve its efficiency, data processing is an asset. Ready to optimize your data for success? We are a leading data processing services company that helps you to unlock the power of data processing!

The post Data Processing: Important Types and Significance appeared first on SiteProNews.

Microsoft Dynamics 365 Finance and Operations (F&O) is a comprehensive enterprise resource planning (ERP) solution that helps businesses manage their finances, operations, and supply chains. With the addition of AI capabilities, Dynamics 365 F&O can provide businesses with even greater value.

How Can AI be Used with Dynamics 365 F&O?

AI can be used with Dynamics 365 Finance and Operations Services in a number of ways. First, AI can be used to automate tasks such as data entry, invoice processing, and fraud detection. Additionally, AI can be used to improve decision-making by providing insights that would otherwise be unavailable. Finally, AI can be used to personalise the user experience by providing recommendations and customizations based on individual needs.

Dynamics 365 Finance and Operations Services is a powerful ERP system that can be used to streamline business processes and improve efficiency. When combined with AI, the potential applications are limitless. To learn more about how AI can be used with Dynamics 365 Finance and Operations Services, contact a qualified Dynamics F&O ERP consultant today.

Here are some specific examples of how AI can be used with Dynamics 365 F&O:

• Customer churn prediction: AI can be used to analyze customer data to identify customers who are at risk of churning. This information can be used to target these customers with retention campaigns.

• Fraud detection: AI can be used to analyze financial data to identify fraudulent transactions. This information can be used to prevent fraud and protect businesses from financial losses.

• Supply chain optimization: AI can be used to analyze supply chain data to identify inefficiencies and opportunities for improvement. This information can be used to optimize supply chains and reduce costs.

These are just a few examples of how AI can be used with Dynamics 365 F&O. As AI continues to evolve, we can expect to see even more ways to use it to improve business performance.

Benefits of Using AI with Dynamics 365 F&O

Using Artificial Intelligence (AI) with Dynamics 365 Finance & Operations can help to significantly reduce the time it takes to manage day-to-day business tasks. By leveraging machine learning and natural language processing, it can recognize patterns in data, providing businesses with more accurate predictions and insights. AI can also help to streamline manual processes and optimize data-driven decisions, providing the organization with better business results. Moreover, AI-powered Dynamics 365 F&O solutions provide access to automated intelligence capabilities, such as proactive alerting and predictive maintenance, helping to reduce operational costs and maximize efficiency. With AI-enabled Dynamics 365 F&O, organizations can benefit from improved customer experiences and greater business agility.

Some of the benefits of using AI with Dynamics 365 Finance and Operations include:

• The ability to make better, more informed decisions with data-driven insights
• Increased accuracy and efficiency in financial and operational processes
• The ability to automate tasks and processes
• Improved customer service and support
• And more!

If you’re using Dynamics 365 Finance and Operations in your business, consider adding AI to the mix to take advantage of all these benefits and more.

Specific Examples of How AI can be Used with Dynamics 365 F&O

AI can be leveraged in a variety of ways with Dynamics 365 F&O to provide an enhanced customer experience. For instance, AI can be used to quickly analyze and process large volumes of data in order to deliver predictive analytics to enable organizations to make smarter, faster decisions. Additionally, AI can be used to automate mundane, labor-intensive tasks, such as managing inventory and replenishing stock, which will help free up resources and time for more meaningful activities.

AI can also be used to provide enhanced customer service through predictive analytics and natural language processing, which will enable customers to find answers to their questions quickly and accurately. AI-enabled tools have the potential to greatly improve customer service and the efficiency of an organization’s operations, and Dynamics 365 F&O provides the platform to take advantage of these powerful technologies.

Conclusion

In conclusion, the integration of AI with Dynamics 365 F&O can help businesses improve their efficiency, productivity, and profitability. AI can be used to automate tasks, provide insights, and make predictions, which can all help businesses to operate more effectively. By incorporating AI capabilities, Dynamics 365 F&O can help businesses to gain a competitive advantage and drive their businesses forward.

The post Bringing the Power of AI with Dynamics 365 F&O appeared first on SiteProNews.

Recent research suggests that 94% of SMBs engage in repetitive tasks, while automation has improved job satisfaction for 90% of knowledge workers and productivity for 66% of them.

Various types of automation exist, such as Robotic Process Automation (RPA), Business Process Automation (BPA), and Artificial Intelligence (AI) driven solutions. Identifying the most suitable automation strategy for your business and executing it correctly is key to making it a winning strategy. 

Revolutionizing Business Efficiency 

Automation enhances workplace efficiency by streamlining operations, mitigating bottlenecks, and minimizing errors in repetitive tasks, ultimately enabling employees to focus on high-value, specialized work. Moreover, it facilitates better data management and utilization, empowering businesses to make data-driven decisions and optimize their overall performance.

As renowned management consultant Peter Drucker once said, “Efficiency is doing things right; effectiveness is doing the right things.” With diverse automation options available, businesses can strike the perfect balance between efficiency and effectiveness in their quest for operational excellence.

The following are the most common automation technologies, each having its own competitive edge when implemented optimally:

• Robotic Process Automation (RPA): Automating manual, repetitive tasks such as data entry or invoice processing.
• Business Process Automation (BPA): Streamlining complex, multi-step workflows that involve multiple systems and stakeholders. 

• Artificial Intelligence (AI) and Machine Learning (ML): Applying advanced algorithms and learning capabilities to tasks that require decision-making or pattern recognition.
• Cognitive Automation: Incorporating natural language processing (NLP) and computer vision to automate tasks that require human-like perception or understanding.
• Internet of Things (IoT) Automation: Connecting and automating devices, sensors, and systems for data collection, monitoring, and control. 
• Desktop Automation: Automating tasks on individual computers, such as file management or data manipulation. 

Each type of automation is a unique tool that provides different benefits. Understanding your needs, your team makeup, and the best solution means having both an overview of the options and a sense of the methods of implementation. Making an informed choice sets up a given automation solution for success.

Automating Business Processes 

While automation can offer numerous benefits, it is not without its challenges. In some cases, automation implementation may not yield the desired results due to factors such as inadequate planning, poor alignment with business objectives, or insufficient employee training. 

Additionally, unexpected technical issues, lack of interoperability between systems, and resistance to change among staff can hinder the success of automation initiatives.

Technical issues are responsible for 90% of automation project failures, with implementation costs accounting for 37%, and a lack of overall vision or strategy responsible for 25%.

Hence, to ensure a successful implementation, businesses must carefully assess their automation strategy. Here are the four key steps to consider when devising a strategy for automating business processes: 

1. Identifying areas for automation: The first step in automating business processes is to identify areas of the business that are repetitive, time-consuming, and can be automated. It is essential to assess the current processes and workflows to identify areas that can be streamlined and automated. By analyzing the business processes, the organization can identify which processes are most suitable for automation. 

2. Evaluating potential automation tools and technologies: Once the processes are identified, it’s essential to evaluate the potential automation tools and technologies that can be implemented to automate the business processes. This involves researching different automation tools and technologies available in the market, understanding their capabilities, and assessing their suitability for business processes. 

3. Implementing automation in a phased approach: After identifying the areas for automation and the tools to implement them, the next step is to implement automation in a phased approach. This means introducing automation gradually and testing it to identify any potential issues or obstacles. This approach also allows the business to ensure that the automation is functioning correctly before rolling it out across the entire organization. 

4. Measuring the results of automation implementation: The final step is to measure the results of the automation implementation to assess the benefits of the automation. It’s essential to monitor the results of the automation in terms of time and cost savings, increased productivity, improved quality, and customer satisfaction. These metrics will provide valuable insights into the effectiveness of the automation and help identify opportunities for further optimization.

Overcoming Challenges in Automation Implementation

As briefly discussed above, implementing automation in the workplace can present several challenges that need to be addressed through intelligent strategies to ensure a successful implementation. 

One of the most significant challenges in implementing automation is integrating it with legacy systems. This is because legacy systems often have complex and customized integrations that are difficult to replicate in automation systems. To overcome this challenge, businesses need to invest in custom integration services or migrate to new systems altogether. For example, Walmart implemented an automation system for its supply chain that required custom integration with its legacy systems to ensure a seamless flow of data between the new and old systems.

Another challenge in implementing automation is addressing the impact on the workforce. Businesses need to invest in upskilling and reskilling programs to help employees adapt to the changing work environment. This isn’t entirely a new concept. In 2019, Amazon implemented an upskilling program to help employees acquire new skills and transition into new roles as the company automated several processes in its warehouses. This not only helped Amazon retain its workforce but also increased employee productivity and job satisfaction.

Automation Will Continue to Grow

As we move into the future, leveraging the power of automation will be the cornerstone of success for forward-thinking businesses. Maximizing productivity with automation and implementing process efficiency in the workplace will unleash untapped potential, redefine the role of human talent, and unlock unprecedented growth opportunities. By strategically adopting automation technologies, businesses can position themselves at the forefront of innovation, setting new standards of excellence and shaping the future of their industries. 

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What is Low-Code Development?

Low-code development is an approach to software development that speeds up the process. Developers do not need to write complex code from scratch to complete an app, as most of the application’s functionality is created using pre-built components and visual interfaces. Many of these platforms include pre-built app templates and components that are easy to use.

Low-code software typically provides integration capabilities that enable users to more easily connect to databases, other software solutions and workflows. This means that developers can easily integrate their applications with business processes and other software solutions, such as CRM or ERP systems, without writing complex code.

Compared to traditional development methods, low-code development provides several benefits, such as: 

1. Faster Development: Low-code development speeds app building by eliminating the need to write code from scratch and providing components for routine coding tasks.
2. Reduced Technical Expertise: Low-code development allows users with limited mobile app development expertise to create cross-platform apps that run on many smartphones and tablets, reducing the need for mobile developers. 
3. Improved Collaboration: Low-code development allows developers and business users to work more closely to solve business problems, improving collaboration and reducing development time around such tasks as requirements gathering. 
4. Increased Flexibility: Many low-code platforms provide pre-built app templates that kickstart development and components that ease complex development tasks, making it easier to create custom applications that meet specific business needs. 
5. Accelerating Time to Market: Low-code development allows developers to create applications quickly and efficiently, which can reduce development time and speed up time-to-market for new applications. By accelerating the development process, businesses can stay competitive in the market and meet changing customer needs. 

Streamlining Workflow with Low-Code

By leveraging the integration capabilities of low-code software, companies can improve information sharing to power better inventory control, risk mitigation, or customer service. For example, when you integrate low-code apps with existing systems, you can trigger alerts or events and streamline workflows. 

By tying low-code apps directly into existing processes and systems, you can share information quickly. This will improve processes, reduce manual tasks, enhance collaboration and communication, and accelerate time to market.

1. Improving Processes and Reducing Manual Tasks: Low-code development provides automation capabilities that allow developers to create workflows that trigger actions based on specific events. This can automate repetitive tasks, reduce errors, and save time. For example, a low-code platform can automate a company’s employee onboarding process by automatically creating new employee profiles, sending welcome emails, and scheduling orientation meetings, which can reduce the need for manual data entry and ensure consistent communication. 
2. Enhancing Team Collaboration and Information Sharing: Optimizing connections between teams and information allows them to work together better, take action quicker, and understand the priorities every step of the way. 
3. Reducing Risk or Seizing Opportunities: Accurate data makes it easier to act quickly. When a safety issue triggers an alert, the manager can resolve the problem faster because they have the right information to act on. This is also true when using integrated systems to restock an inventory item ahead of time to avoid rush order fees when running out of materials.

Best Practices for Implementing Low-Code Successfully

Implementing a low-code platform for workflow and efficiency requires a calculated approach to achieving success. Here are some best practices to consider: 

1. Assessing the current workflow and processes: Different low-code tools’ functionality are more applicable to certain areas of a business and certain types of processes. Finding a solution that builds apps that best meets users’ needs is crucial for integration and automating tasks. Needs and use cases will be different for sales reps, HR departments, or marketing teams, so alignment is key. 

2. Choosing the right low-code platform: It’s important to choose the right low-code platform that meets your unique technology needs. This includes evaluating the platform’s capabilities, scalability, security, and support. It’s also important to consider the match between the development environment and the skill level of the person(s) developing your apps.  Implementation is vastly different depending on whether you’ll use internal developers, business users, or an external development team. 

3. Building a cross-functional team: To ensure the successful implementation of a low-code platform, it’s important to build a cross-functional team with expertise in different areas of the business. This can include representatives from IT, operations, and business units. Having a diverse team can help to ensure that proper business requirements are gathered, the right team is user testing, and the low-code platform is aligned with business goals and objectives. 

4. Defining goals and KPIs: Setting clear goals and key performance indicators (KPIs) can help managers measure success properly. Depending on who is using the software, the goals, and KPIs will likely be quite different. For existing teams, it might be a measurement on improved collaboration or levels of adoption. On the other hand, management might want to know how many or how much manual tasks have been decreased. 

5. Continuous improvement and iteration: After the initial implementation, it’s important to continuously improve and iterate these apps for the dominant user or teams who regularly use them. You’ll also want to make sure the app keeps up on the evolving needs of the business – from business processes to integration, to workflow,  to security. This can include soliciting feedback from users, monitoring performance metrics, and identifying areas for improvement.

Boosting Efficiency with Low-Code: Real World Results

Low-code development can be applied to a wide range of use cases to boost employee productivity and competitive advantage. For example, Building Engineering Company built a mobile app that saved each inspector 15 hours per week doing home energy inspections. These kinds of cumulative gains have a massive impact in the long term. 

By replacing its paper warranty process with a mobile field app, GBS Enterprises increases the productivity of its field team by 80%. It’s these kinds of real world results that drive the market. 

Delivering a 23 tier-one corporate application, Bendigo Bank, one of Australia’s major retail banks, completely changed the way customers interacted with them. They were able to release more than one app per month because they were all created utilizing ta low-code application development platform.

These are some of the reasons that Gartner predicts that by 2023, over 50% of midsize to large companies will use a low-code solution as one of their strategic application platforms.

In Conclusion

Low-code development has become a popular solution for streamlining app development and boosting efficiency within companies. When you build powerful mobile apps that can tie directly into business systems and daily workflows, the solution becomes even more powerful. As the demand for agile and efficient solutions continues to rise, low-code development is expected to play an increasingly important role in transforming businesses and driving growth.

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Change is often seen as a problem. Companies and the people who work for them resist it. They see change as the enemy, rather than a strategy that enhances performance, adds value, and provides companies with a competitive advantage.

In 2023, companies that are open to change have various new, powerful, disruptive business tools at their disposal that can be used to equip the workforce. To take full advantage of these new capabilities, however, companies must change how they look at technology. 

It is not enough to simply do technology projects. To truly empower today’s workforce, businesses must be digital.

The Right Approach to Tech

Leveraging technology to achieve business goals involves a never-ending cycle of developing strategy, deploying tools, and managing ongoing operations. Too often, an organization’s leadership pays too much attention to the tools and too little to the digital capabilities they need or the impact they have after they go live. 

Selecting and deploying a tool is just the beginning. The workforce demands a continuous release of capabilities and enhancements to the service experience fueled by data. Here are some steps that leadership can take to optimize the impact of the tech tools they are deploying:

• Ensure authority is distributed – Digital tools on their own do not bring about digital transformation. Success in this area requires automating workflows by giving managers direct access to information and transactions. Distributed authority enables and empowers managers to make people-centric decisions within their sphere of authority without redundant oversight or unnecessary approvals.

• Elevate digital competence — The digital marketplace is inherently dynamic. Digital platforms are updated and enhanced at a much faster pace than previous on-premise software models. To ensure that technology provides maximum value, employees must be competent at using the digital tools deployed. Many organizations now look to their people experience team, which is responsible for ensuring HR decisions are people-centric, to provide the knowledge and experience needed for successfully executing a digital strategy.

• Prioritize data fitness — Data is the lifeblood of digital solutions and a key driver of organizational agility. As organizations increase the amount of data available to their digital tools, they also increase the value those tools can deliver. Organizations should leverage data to drive better decision-making and create personalized workforce experiences. This can enhance the operations of every department, from human resources to finance to cybersecurity.

• Develop value thinking — Workplace tech requires an investment. To realize a return on that investment, the implementation of new tools must be tied to a clear understanding of how new capabilities will produce valued outcomes. When tech fails to produce a valued outcome, it is rarely because it is incapable of doing so. More often it is because it hasn’t been used to its fullest potential. Decisions related to workplace tech must revolve around outcomes and results, rather than processes and services.

• Embrace changefulness — Change enablement must be a core management competency. It empowers managers who are guided by a clear understanding of the organization’s mission and business model to respond to changes. Organizational structures must allow information to flow frictionlessly up, down, and across the organization, with a high value on transparency. Systems that require top-down communication and centralized coordination are too slow for success in the digital age.

The Right Tech to Deploy

Once organizations champion change, they can effectively deploy workplace tech to empower and support that change. Here are two tools that illustrate the type of innovation that is possible when organizations embrace digital transformation.

Reejig

Reejig is an award-winning workforce intelligence platform focused on identifying unused potential in an organization. It describes itself as a “central nervous system for all talent decisions.” It is workplace tech that helps organizations identify, resource, and deploy underutilized talent.

Reejig is built upon the world’s first independently audited Ethical Talent AI, which it uses to generate a comprehensive and real-time overview of an organization’s talent ecosystem. This “total skill visibility” helps organizations optimize their workforce by reskilling, upskilling, and effectively mobilizing employees. The insight it provides can also be used to develop personalized career pathways, which can contribute to a better employee experience and higher retention rates.  

Firstup 

Firstup is an intelligent communication platform that uses data to drive higher employee engagement by creating a personalized employee journey. It is rooted in the belief that one-size-fits-all communication is essentially one-size-fits-none communication. Using real-time data on employee engagement, Firstup determines the most meaningful campaigns, the optimal time, and the best channel for communicating with each employee.

Digital wellness is a key component of the Firstup approach to engagement. Sometimes known as digital wellbeing, digital wellness aims to ensure that technology is designed to promote healthy use and avoid digital overload. By identifying and empowering the most effective means of communication for each unique employee, Firstup reduces digital noise and ensures that messages are relevant and impactful.

Every organization has the opportunity to leverage workplace tech in 2023 in a way that will improve productivity while also enhancing the employee experience. The key to achieving both effectively is choosing tools that have a strategic and measurable impact and deploying them in a people-centric way. 

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To keep selling smarter, however, it’s important to keep up with the latest technology offers and understand how best to leverage it. Whatever you’re selling, from cars to computers, trips to trophies, your approach can probably benefit from taking full advantage of new technology. With that in mind, here are four technologies you can leverage to push your sales numbers even higher.

Four Technologies to Help You Sell Smarter

1. Using Artificial Intelligence (AI)

AI and automation can play a big role in making your sales strategy smarter. At their most basic level, these can help take over the administrative work of sales teams, freeing up more time for selling. Considering inside sales reps only spend 33% of their time actively selling on average, this function alone makes AI extremely valuable. Chatbots can also handle increasingly complex queries, which helps push that percentage even further.

But the power of AI extends beyond its ability to save time. It can also help sales teams perform better, thanks to the insights it gleans from customer data. Through AI, sales reps can personalize their strategies to fit the needs of each lead better and quickly adapt their approach based on where customers are in their buyer journey. Essentially, AI can act as a helpful sales consultant, ready to give you all the useful information you need at the push of a button.

2. Streamlining Sales with Customer Relationship Management (CRM)

You’re likely already using a CRM, but are you using it to its full potential? Your CRM is not just a place to manage your customer interactions (although this is important). It also has the potential to act as the nucleus for your entire sales strategy.

Take the time to make sure everything is organized properly and that your sales pipeline is uncluttered. You should have a visual understanding of the entire lifecycle of your prospects from start to finish. With this all organized, you can use your CRM to understand customer behavior better and create buyer personas that will help standardize your sales playbook around specific customer types.

Your CRM is also the perfect tool for collaborating with the rest of your organization, sharing data with each department to streamline operations and prevent data silos from forming. In addition to helping you collaborate with other people, it can also be integrated with other technologies to create a cohesive platform for handling every type of sales lead.

3. Boosting Sales with Email Marketing

Email might seem old-fashioned compared to AI, but it’s still a deeply valuable technology for sales, delivering an ROI of $42 for every dollar spent, higher than any other channel. On average, email leads to conversions at three times the rate of social media.

Email is a great way to reach out to potential leads and is perfect for maintaining customer relationships and generating new sales for long-time customers. Through email, you can lower abandoned cart rates, upsell products, boost sales through discounts and specials, and even solicit feedback and referrals. Plus, unlike other platforms, email is an open protocol, which means it’s not subject to the whims of a single owner, which, as we know, can end up causing some trouble.

4. Revolutionize Sales with Digital Twins

The digital twin is, in many ways, the next evolution in buyer personas. Rather than create profiles that can be used to make educated guesses on the right sales tactics for specific users, a digital twin lets you test out these tactics on a computer-generated buyer.

A digital twin is created from your interactions with actual customers, both physically and digitally. It uses this information to react to your sales pitches in real-time, allowing you to test out different messages and media to see what would work in practice. Moreover, these twins are constantly updated with new information, which means you’re given the most up-to-date picture of the customer. The market for digital twins in sales is still growing, so now is a great time to take advantage of this technology and be one step ahead of the competition.

Technology can go a long way in helping sales teams perform their jobs at their full potential. However, it’s worth noting that none of these tools can or should act as replacements for the human element. Your salespeople should still be front-and-center when interacting with your leads, with technology operating and supporting your teams’ skills. With this approach, you can make the most of your technological advantage without forgetting what makes your sales team so successful: the people.

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The Unique Perspective of Women in Emerging Technologies

Women have been increasingly drawn to emerging technology fields like the Metaverse and IoT. These fields are still developing, meaning there is more room for creativity and innovation. Additionally, women are often attracted to areas where they can have a tangible impact on the world around them, and emerging technologies certainly fit the bill in that regard.

The most significant reason women have been drawn to these fields is that they offer a unique opportunity to shape the development of technology in ways that reflect the needs and interests of a broader range of people. Women bring a perspective that is often different from their male counterparts, which can lead to new ideas and approaches that might not have been considered otherwise.

The Metaverse and IoT: The Perfect Tech Match

As the Internet of Things (IoT) continues to expand and evolve, it’s becoming increasingly clear that the Metaverse will play a critical role in shaping how we interact with technology. In essence, the Metaverse is a virtual world that connects all other virtual and physical worlds. It offers a new user experience where individuals can engage with IoT devices and the data they generate in a more immersive and interactive way.

One of the most significant benefits of the Metaverse in the world of IoT is that it can help to break down the barriers between different devices and ecosystems, leading to more efficient and effective use of technologies and more personalized and meaningful user experiences. With the Metaverse acting as a unifying platform, it’s possible to create a seamless experience for users, regardless of the specific devices or systems they’re interacting with.

“Emerging technologies like the Metaverse and IoT offer incredible potential for innovation and progress, but we can’t overlook the critical role that diversity and representation play in shaping the future of these technologies. Women, in particular, bring a unique perspective and approach to these fields that can lead to new ideas, more innovative solutions, and a more inclusive and diverse tech landscape. As we continue to develop and evolve these technologies, we must prioritize diversity and representation at every level, from leadership to product design, to ensure that we’re building technologies that reflect the needs and interests of everyone, not just a select few“

Hannah Gutkauf, the Global Partner and Head of Emerging Tech Team at Manyone

Manyone is a strategy-design hybrid consultancy firm that believes in driving meaningful and fast change led by execution by merging strategy and design into one approach and one team. Founded in 2018 in Copenhagen, Denmark, the company’s manifesto centers on creating a better future for businesses, people, and the planet by being a partner that blends strategy and design execution in one fast process. Manyone values collaboration, optimism, creativity, and being solid as its core principles to drive real impact. The company strives to build a culture of trust and freedom, enabling every team member to play a vital role in creating something new and valuable for the planet.

The Many Benefits of MetaVerse and IoT Across Industries

The Metaverse and IoT offer a range of benefits across various sectors and industries. From healthcare to finance, these emerging technologies transform how we work, interact, and live.

In the healthcare industry, for instance, the Metaverse and IoT can help to create more personalized and effective treatment plans for patients. By integrating wearable devices, medical sensors, and other IoT devices, doctors can gain a more comprehensive view of a patient’s health, leading to more accurate diagnoses and better treatment outcomes. 

The Metaverse and IoT can help create more secure and efficient transactions in the finance industry. Blockchain-based ecosystems, for example, can streamline financial transactions and reduce the risk of fraud or errors. Additionally, the Metaverse can facilitate more immersive and engaging customer experiences, such as virtual banking environments and personalized financial planning.

In the retail industry, the Metaverse and IoT can help to create more personalized and engaging shopping experiences. IoT devices like smart mirrors and shelves can help retailers collect data on customer preferences and behaviors, leading to more targeted marketing and more effective sales strategies. 

The Future of Tech: The Impact of MetaVerse and IoT

As the Metaverse and IoT continue to grow and evolve, they’re poised to significantly impact the future of technology. Here are some of how these emerging technologies are likely to shape the tech landscape:

• Enhanced Personalization: With the Metaverse and IoT, creating more personalized and meaningful user experiences will be possible. By leveraging data from various sources, including wearables, social media, and other IoT devices, companies can create highly tailored products and services that meet individual users’ unique needs and preferences.
• Improved Efficiency: The Metaverse and IoT will enable greater automation and efficiency across various industries and sectors. For example, smart factories and supply chains can optimize production and reduce waste. In contrast, smart cities can manage resources more effectively and improve public services.
• More Immersive Experiences: The Metaverse will enable more immersive and engaging virtual experiences, where users can interact with virtual environments and other users in new and exciting ways. From virtual concerts to virtual shopping experiences, the possibilities are endless.

The influence of women in emerging MetaVerse and IoT technologies is significant and growing. They bring unique perspectives, leadership styles, and skill sets to these fields, which are essential for creating inclusive, equitable, and effective technologies. By supporting and empowering women in these fields, we can ensure that emerging technologies reflect the needs and interests of diverse communities and contribute to a more equitable and sustainable future for all.

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Unveiling the Next-Generation Experiences

PlayStation Showcase 2023 kicked off with a bang, showcasing a series of impressive trailers and gameplay demos for upcoming next-generation titles. Among the standout announcements was the much-anticipated sequel, “Horizon Forbidden West.” Guerrilla Games treated fans with an extended gameplay demonstration, revealing breathtaking visuals, expanded open-world environments, and a captivating narrative that promises to immerse players once again in the post-apocalyptic world of Aloy.

Another remarkable reveal came in the form of “God of War: Ragnarok.” Santa Monica Studio unveiled a tantalizing teaser trailer, hinting at an epic confrontation between Kratos and his Norse adversaries. The brief glimpse showcased stunning graphics and left fans eagerly anticipating the continuation of this acclaimed franchise.

Reviving Beloved Classics and Introducing New IPs

PlayStation Showcase 2023 not only catered to fans of established franchises but also introduced new intellectual properties (IPs) that captured the imagination. Bluepoint Games, renowned for their masterful remakes, showcased their latest project, a complete overhaul of the classic “Metal Gear Solid.” The iconic stealth-action game is being rebuilt from the ground up for the PlayStation 5, promising to captivate both long-time fans and newcomers to the series.

Furthermore, the showcase unveiled a unique new IP titled “Project: Evo.” Developed by a talented team at a renowned studio, the game combines breathtaking visuals, innovative gameplay mechanics, and a mysterious storyline set in a futuristic world. With its stunning graphics and intriguing premise, “Project: Evo” left a lasting impression and sparked excitement among gamers.

Expanding the PlayStation Universe

PlayStation Showcase 2023 also shed light on the ever-expanding universe of PlayStation exclusives. Insomniac Games, known for their exceptional work on “Marvel’s Spider-Man,” revealed a surprise announcement of a new addition to their superhero lineup. “Marvel’s Wolverine,” a standalone title focusing on the popular mutant hero, stunned fans with a teaser trailer that showcased the character’s iconic claws and hinted at a dark and gritty narrative.

In addition to superheroes, PlayStation also catered to fans of immersive storytelling with a first look at “Forsaken Souls.” Developed by a talented indie studio, this psychological horror game captivated viewers with its atmospheric setting, haunting visuals, and eerie narrative. With its emphasis on psychological tension, “Forsaken Souls” promises to be a bone-chilling experience for horror enthusiasts.

Embracing the Power of VR

Virtual reality (VR) enthusiasts were not left disappointed, as PlayStation Showcase 2023 unveiled a range of exciting VR experiences. Sony Interactive Entertainment Japan Studio showcased “ASTRO BOT Rescue Mission 2,” a delightful platformer that showcases the capabilities of the PlayStation VR system. The game builds upon its predecessor’s success, offering new levels, charming characters, and innovative gameplay mechanics.

Moreover, the showcase revealed a collaboration between PlayStation and a renowned developer to bring an iconic horror franchise to VR. The teaser trailer for “Silent Hill VR” sent shivers down viewers’ spines, hinting at a spine-chilling, immersive experience that will undoubtedly appeal to fans of the genre.

Conclusion

The PlayStation Showcase 2023 was an incredible display of the gaming industry’s future, showcasing a diverse range of titles that cater to various tastes and preferences. With its commitment to pushing the boundaries of visual fidelity, immersive storytelling, and engaging gameplay, PlayStation continues to demonstrate why it remains at the forefront of the gaming industry.

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Digitization has many benefits for both employees and employers, including improved collaboration, streamlined processes, and increased efficiency. By implementing digital tools and platforms, organizations can create a more seamless and flexible work experience that supports employee productivity and satisfaction.

For example, digital communication tools like video conferencing and instant messaging can help remote workers feel more connected to their colleagues and stay engaged in company culture. Additionally, digital workplace management tools can help teams work more efficiently and stay on track, regardless of their location.

Another benefit of digitization is the ability to collect and analyze data on employee performance and engagement. By leveraging data analytics, organizations can gain valuable insights into how employees are working and identify areas where they can improve the employee experience.

However, it’s important to note that digitization alone isn’t enough to improve the employee experience. It’s equally important to create a culture that supports employee well-being and fosters a sense of community, whether employees are working in the office or remotely.

How Digitization of the Workplace Improves Employee Experience

Improving employee experience through digitization of the workplace can be achieved through several means.

• Firstly, self-service capabilities provide employees with access to necessary information, support, and resources in real-time, allowing them to resolve IT issues, access policies and benefits information, and request time off easily. This reduces the workload of IT and HR service desks, saving time and increasing efficiency.
• Secondly, automated support operations using workplace chatbots and AI-powered end-user support can help resolve queries quickly, improving employee productivity and engagement. Collaborative communication tools such as instant messaging, video conferencing, and collaborative workspaces promote innovation and knowledge sharing while allowing employees to work together remotely.
• End-user device management also allows employees to troubleshoot device issues themselves using self-healing tools, saving time and increasing productivity. Cloud-based solutions further increase productivity by providing easy access to resources, tools, and information, enabling remote work and flexibility.
• Streamlining the onboarding and offboarding process through digitization improves efficiency and reduces the administrative workload of HR teams, leading to a better employee experience. Happy employees lead to happier customers, as instant support and real-time collaboration keep employees engaged and empowered with technologies and workplace services, resulting in better business operations and improved customer service.
• Lastly, digitization reduces operational costs by decreasing the need for manual service desks and streamlining automated processes, leading to more informed decision-making and increased profitability through better end-user experience tracking and analysis.

In conclusion, the digitization of the workplace has the potential to significantly improve the employee experience in a hybrid world. By implementing digital tools and platforms, organizations can create a more seamless and flexible work experience that supports employee productivity and satisfaction. However, it’s important to remember that digitization is just one piece of the puzzle – organizations must also prioritize employee well-being and create a supportive culture to truly enhance the employee experience.

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Who’s accountable for ensuring that AIs put out correct, non-toxic information? No one knows, at least not yet, and it’s easy to see why.

The Problem with Artificial Intelligence

AIs become more intelligent through training on more and more data sets, and the easiest way to find enormous amounts of data to train an AI on is to look online. However, the problem is that not everything that’s posted on is factual information, especially when you’re dealing with social media. 

Some of the content that’s posted — on social networks or elsewhere — is merely opinion rather than fact. On the other hand, some of it is just plain wrong: either misinformation like rumors or even worse, disinformation posted deliberately with malicious intent.

Unfortunately, AIs can’t tell the difference between true and false information unless a human informs them the information is false. Additionally, many studies of AI assistants like Siri and Alexa have demonstrated how human biases can creep into the technology, which is supposed to be unbiased.

U.S. lawmakers are also concerned about potential impacts from artificial intelligence on national security and education. In particular, officials are concerned about ChatGPT, an AI program capable of quickly writing answers to a wide variety of questions. It immediately became the fastest-growing consumer application ever recorded, attracting over 100 million monthly active users in a matter of months.

Calls for Accountability in AI

All these factors and more raise many questions about accountability for artificial intelligence. In April, the National Telecommunications and Information Administration, which is part of the Commerce Department, called for public input on potential accountability measures. The agency cited “growing regulatory interest” in an “accountability mechanism” for AI.

Specifically, officials want to know if they could any measures in place to ensure “that AI systems are legal, effective, ethical, safe and otherwise trustworthy.” NTIA Administrator Alan Davidson told Reuters that “responsible” artificial intelligence systems may offer “enormous benefits…,” but “companies and consumers need to be able to trust them.

President Joe Biden had said previously that it’s unclear if AI is dangerous, adding that tech companies “have a responsibility… to make sure their products are safe before making them public.” 

How AI Models are Trained

Of course, an artificial intelligence can only be as good as the data used to train it. Twitter CEO Elon Musk threatened to sue Microsoft after accusing it of illegally using the social network’s data to train its AI model. On one hand, Musk’s threat is indicative of Big Tech’s claim of ownership over the data it has gathered — usually provided by their users free. These tech behemoths make a mint by charging other companies for using the data collected, and this must be what Musk had in mind for Microsoft if it did use Twitter’s data.

According to CNBC, AI experts see social networks as valuable sources of data for their models because they capture back-and-forth conversations via an informal environment. AIs must be fed terabytes of data for training purposes, and much of that data is scraped from sites like Twitter, Reddit and StackOverflow. 

Many of the first AI models were developed in universities and research labs, usually without any expectations of profits. However, as Big Tech companies like Microsoft move in on these AI models by pouring in large amounts of capital, the groups behind these AI models are starting to look for profits.

As a result, the owners of the data on which these AIs are being trained are starting to demand payment for access to their data. For example, Reddit said in April that it would start charging companies for AI models to receive access to its data for training purposes. Other companies, including Universal Music Group and Getty Images are demanding payment for their data being used to train artificial intelligence models.

A Critical Question for Artificial Intelligence Models

However, setting aside the need for AI models to train on vast amounts of data, one thing that’s not being discussed much is whether social networks are really the best sources on which to train AI models. It’s no secret that social networks are dens for disinformation and misinformation.

Humans are not infallible, so they might accidentally post incorrect information or share rumors, neither of which are suitable for training AI models because they don’t represent factual information. Additionally, we return to the issue of human bias because social networks are typically filled with biased posts. 

What’s worse it that some studies have indicated that Facebook and other social networks are actively silencing conservative voices. If that continues, AI models that train on social networks will have an inherently liberal bias, simply because of the data they were trained on.

AIs Shown to Spread False Information

Even setting aside the issue of politics and liberal versus conservative, there’s no way to verify that the social media posts being used to train an AI model are sharing factual information. Social networks are a place to express opinions, but what AIs need are facts so that they can learn to identify true and false information.

For example, a study conducted at Stanford University revealed that AIs can’t always accurately identify hate speech. Even humans often can’t agree on this issue, so an artificial intelligence model is inherently limited to the biases of the person or people who told it what constitutes hate speech.

However, the problem with misinformation or disinformation may be an even bigger problem. For example, one study found that ChatGPT tends to make up phony anonymous sources when tasked with writing a news article about former New York City Mayor Michael Bloomberg. In fact, those so-called “anonymous sources” appeared to “skewer” Bloomberg for “using his wealth to influence public policy,” according to NBC New York. 

More and more studies that demonstrate ChatGPT and its successors like ChatGPT-4 will spread false information if given the chance to do so. As things stand now, the sudden popularity of this AI highlights the need for greater awareness of the shortcomings of artificial intelligence and greater study on how to train it and potentially regulate it.

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Why Embrace AI

AI is that extra set of hands you always wish you had. But they’re super fast and constantly improving the more they work. That’s the beauty of machine learning. The more you use it, the better it gets. AI and machine learning can help you work smarter. It automates simple tasks, delivers detailed data points and analysis, and even provides creative inspiration. It’s a super tool, if used judiciously. 

AI has the power of computing on its side. Its speed is unquestionable, and for repeatable, mundane tasks, it excels. When it comes to managing the targeting and budget of an online ad campaign, a solid AI system can be better and faster than an analyst making adjustments by hand or conducting countless hours of data analysis to determine where and which programs perform best. AI provides digital advertisers with the insights to pivot quickly and frees up valuable time to spend on higher-level thinking tasks like test development and future customer acquisition strategies.

How AI is Changing the Advertising World

AI and machine learning hold an important place in the world of digital marketing. Just as we routinely utilize spelling and grammar tools to check the accuracy of our copy, AI can be used to further help us optimize content.

Numerous tools are available to optimize headlines, images, and even full ad copy. The tools use various techniques and algorithms to analyze, improve and target content for better engagement and overall performance. This can range from traditional A/B testing to more granular keyword and content analysis that takes a deeper dive into the readability, tone, and structure of the ad copy to make suggested changes to improve the content, such as rewriting sentences, adding subheadings, or shortening paragraphs. And while tools such as the much-hyped ChatGPT can generate ad copy from scratch based on a set of predefined parameters such as the target audience, brand voice, and product features, these tools are best left for drafts and iterations, though some may offer surprising sparks of inspiration at times.

Ad placement and targeting tools are nothing new, but still worthy of mention and our attention. While the decrease in third-party data and the increase in privacy legislation has made the use of these tools increasingly tricky, it has forced an evolution in the offerings now available, making them increasingly sophisticated and more effective than ever before. AI and machine learning are now being leveraged to replace the once-abundant data available from tracking cookies. Today, data is being harvested more broadly based on consumer actions and behaviors, and targeting is using context and focusing on look-alike audiences to find prospects. 

A Tool, Not a Replacement

AI and machine learning tools that help us optimize programs based on data insights are invaluable but still need humans to run them. For example, a targeting tool might show that zip code 06810 has a high propensity to convert for an apartment complex client, however, because of zip code target policies in the housing segment, a Google optimization to bid up for that zip code would result in a policy violation. In another example, from a paid search perspective, Google claims that it has advanced machine learning and knows the intent of the user, but we have seen the intent be incorrect in their search queries. This might mean we see Google serving ads for a keyword like “NSO app” for “nurses services organization (nso)” keyword. We might think that this is someone searching for an app relevant to the client’s nursing business, but a quick Google search uncovers that it’s for the Nintendo Switch Online app and completely irrelevant to the intent of our query. Long story short, AI is fallible. Quality assurance by humans is still needed to ensure the best outcomes.

Likewise, while AI can automate many mundane tasks, it cannot replace the human element, especially when it comes to client interaction and higher level thinking. While AI can provide copious amounts of data and insights, clients are still relying on agency experts to explain those results in layman’s terms. Clients pay agencies to interpret, recommend and become experts in their businesses and industries. The agency’s value is in helping its clients understand how the results from their campaigns translate into growth and results for their business while also providing strategic direction and vision. For example, instead of simply providing a report that shows the CTR of the client’s last campaign increased by 50% you provide context as to what resulted in that change. Did a competitor drop out of the market, or did its industry see a boost in traffic that month due to a specific news event? Through this insight, an agency might suggest a new test for competitive conquesting or capitalizing on the news event with additional keyword coverage. Strategic direction is something that AI has yet to master and is the value-add that agencies should be providing in the first place.

As we move forward into the new frontier of AI and machine learning-assisted marketing, it’s important to remember where it can provide value and where it can not. Many low-value tasks can be automated using AI so that executives’ time can be freed to take on additional higher-level thinking to maintain relevance and value to their clients.

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