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.

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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 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.

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Infographic courtesy Academic Influence

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• Business leaders think that, on average, more than a quarter of their current workload can be completed by AI

• 52% said that ChatGPT and similar AI tools would never replace an entire role in their business

New survey data from leading business technology authority Tech.co has revealed that 47% of company decision-makers are considering using AI tools to carry out tasks instead of hiring new employees. 

Tech.co surveyed a global cohort of business leaders across a variety of sectors to discover how AI tools are affecting their firm and personal workload. The survey revealed that business leaders believe that, on average, more than a quarter (26.8%) of their current personal workload could be completed by ChatGPT or similar tools. 

Since ChatGPT’s launch in November 2022, the AI tool has gained more than 100 million active users every month. Its ability to help employees across the globe to efficiently carry out day-to-day tasks poses a potential threat to human credentials. As AI tools have the ability to significantly increase employee productivity, projects carried out by humans could become increasingly vulnerable to automation.

Some project management software providers are already working on plans to use artificial intelligence to streamline task management. For example, it’s now possible to join a waitlist to use ClickUp’s new AI tool, which could help users with tasks like writing proposals and drafting emails. 

But despite its growing popularity, Tech.co’s survey findings show some skepticism over whether ChatGPT could replace entire roles, as 52% of business leaders said that ChatGPT and similar AI tools would never replace an entire role in their business. 

Tech.co’s Lead Writer Aaron Drapkin comments: “AI tools are rapidly changing the way employees deliver tasks across a broad range of industries. Everything from coding to legal advice can now be carried out by AI – and ChatGPT has only been available to the public for around six months. Although respondents to our survey seemed divided on whether ChatGPT or similar AI tools could soon replace an entire role, with new use cases arising almost every day, the future of business and its relationship with AI is becoming increasingly unpredictable. It could majorly impact hiring going forward – and for some businesses, it already is.”

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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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According to market.us, The Artificial Intelligence Market is projected to grow exponentially over the next decade,and it is expected to grow around USD 2,967.42 billion by 2032 from USD 94.5 billion in 2021.

The Benefits of AI

AI has revolutionized numerous industries, streamlining processes and providing innovative solutions to complex problems. In healthcare, for example, AI-powered algorithms are used to diagnose diseases with remarkable accuracy, saving lives and improving patient outcomes. In transportation, self-driving vehicles are becoming a reality, with the potential to reduce accidents caused by human error.

Automation of Repetitive Tasks: AI has the potential to automate tedious and time-consuming tasks that would otherwise need human effort. This not only saves companies time and money, but it also frees up employees to focus on higher-level activities requiring creative problem-solving skillsets.

Improved Efficiency: AI can increase efficiency by analyzing large amounts of data and recognizing patterns and trends that humans may not be able to notice. This leads to better decision-making and accurate predictions, which could be especially helpful in industries like finance, healthcare, and logistics.

Personalization: AI can also assist companies in providing more tailored experiences for their customers. By analyzing a customer’s purchase history and behavior, AI may suggest products or services that may be of interest to them, or personalize marketing messages to better match their preferences and needs.

Improved Safety: AI can enhance safety in various ways. For instance, AI-powered systems in the automotive industry help prevent accidents by detecting and responding to potential road hazards. Similarly, healthcare industries use AI for patient safety by analyzing medical data and alerting healthcare professionals of potential risks or complications.

Innovation and New Opportunities: AI can drive innovation and open up a world of new possibilities for businesses and entrepreneurs. For instance, AI-powered chatbots provide round-the-clock customer service, while automated creative tasks such as designing logos or crafting copy can be automated using AI technologies.

In the realm of environmental sustainability, AI is being utilized to optimize energy consumption, predict weather patterns, and monitor deforestation. Additionally, AI-powered language models have transformed the way we communicate, breaking down language barriers and enhancing global collaboration.

The Potential Risks of AI

While AI offers numerous benefits, there are also significant risks associated with its irresponsible development and use. One concern is the potential for AI to perpetuate and amplify existing biases in society. Algorithms trained on historical data can inadvertently inherit the biases present in that data, leading to unfair or discriminatory outcomes.

Another potential risk is the loss of privacy, as AI systems become increasingly capable of analyzing and interpreting personal information. This may lead to intrusive surveillance practices and the erosion of individual autonomy.

Moreover, the development of autonomous weapons raises serious ethical questions about the potential for AI to be used in harmful ways. These weapons could lower the threshold for conflict and create new security risks, undermining global stability.

Ethical Considerations for AI

The complex nature of AI technology raises several ethical questions. One of the most pressing concerns is the issue of responsibility. If an AI system causes harm, who should be held accountable – the developers, the users, or the AI itself?

Another critical ethical consideration is the societal impact of AI. The displacement of jobs due to automation could lead to unemployment and exacerbate income inequality. Additionally, the use of AI in decision-making processes may have unintended consequences, as these systems can lack transparency and be difficult to understand or scrutinize.

Current Efforts to Address AI Ethics

As the importance of AI ethics becomes increasingly recognized, various organizations and initiatives have emerged to address these concerns. Groups like OpenAI, the Partnership on AI, and the AI Ethics Lab are focused on researching and promoting best practices for AI development and use.

Governments around the world are also taking steps to regulate AI, introducing policies and frameworks to ensure its responsible deployment. For example, the European Union has proposed regulations aimed at creating a legal framework for AI, including measures to address bias, transparency, and accountability.

Balancing Innovation and Responsibility

Striking a balance between innovation and responsibility in AI development is crucial. One approach is to incorporate ethical considerations into the design process from the outset. By integrating ethics into AI research and development, organizations can proactively address potential risks and minimize the likelihood of unintended consequences.

Collaboration between academia, industry, and government is also essential in achieving this balance. By fostering dialogue and sharing knowledge, stakeholders can develop a shared understanding of the ethical implications of AI and work together to create responsible solutions.

Conclusion

The rapid advancement of AI technology presents both tremendous opportunities and significant ethical challenges. Balancing innovation and responsibility is crucial to ensuring that AI benefits society while minimizing potential harm. By prioritizing AI ethics, individuals and organizations can contribute to a future where technology is developed and deployed in a manner that upholds our collective values and promotes the greater good.

As AI becomes increasingly integrated into our daily lives, it is essential to be aware of the ethical concerns that accompany its use. Individuals can play a role by advocating for responsible AI practices and staying informed about developments in AI ethics. Companies should prioritize transparency and accountability in their AI initiatives and strive to create inclusive and unbiased systems.

Moreover, governments have a responsibility to enact regulations that foster responsible AI development and address potential societal impacts. This may involve investing in education and workforce development to mitigate job displacement and creating social safety nets to support those affected by technological change.

Ultimately, the future of AI is in our hands. By actively engaging with the ethical challenges of AI and working together to find responsible solutions, we can help shape a future that harnesses the power of AI for the betterment of society. A future where innovation and responsibility coexist, ensuring that the incredible potential of AI is realized in a way that upholds our ethical values and promotes the common good.

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As the name suggests, conversational AI is a sophisticated technology that is powered by artificial intelligence and machine learning whose aim is to carry out conversations like a human and, solve customer issues/address their needs. Conversational AI finds applications in many industries, including customer service, retail, finance, banking, and so on. Depending on the strategy you are using, conversational AI may involve chatbots, automated email communications, virtual assistants, or all of these. Conversational AI uses a combination of natural language processing and artificial intelligence to understand human speech and give intelligent responses. Conversational AI is highly useful when there are a large number of customer service requests. It can easily tackle the basic ones and pass the more complicated ones to human agents. Conversational AI automates most customer interactions and is an excellent source for collecting zero-party customer data and sharing it with your company so that you can understand customer behaviors and expectations better. As such, they save a lot of labor time and increase workers’ efficiency.

With engagement rates as high as 80-90%, conversational AI tools increase conversion rates even if you do not have the most optimized website. This is because chatbots enable a two-way conversation, and customers can get their issues resolved or their questions answered on the spot. They can quickly get an answer during an emergency, even at midnight, which makes conversational AI so powerful.

Conversational AI Eliminates Bad Leads

Often, lead conversion from marketing to sales is a matter of charm, luck, or persistence. Good leads have a better chance of conversion, and they require less salesperson time. Conversational AI can respond and sort leads in the order of relevance and chance of conversion in a way conventional scoring cannot. AI can answer questions through chatbots on your website and ask its own questions to conduct lead scoring based on your criteria. The conversational AI will transfer the priority leads to the sales team while keeping the others with AI until they become ready for conversation.

Conversational AI Speeds Lead Engagement

Conversion fails when leads are given up, ignored, or there are just too many for customer service agents to handle. With conversational AI, you do not have this problem, as the natural language AI responds to customer emails and queries in a systematic manner and automatically follows up if there are any bumps. Companies that utilize AI-based chatbots witness substantial savings in the labor time they spend on lead quantification and lead nurturing. With conversational AI, leads can be engaged and informed at every step of the funnel.

Conversational AI Does Not Ignore Leads

The marketing team may be sending many leads, but often the sales may not be able to catch and capitalize on every one of them. This is because the sales team is human, and it can only process a certain number of leads in a limited time frame. As such, the sales team capitalizes on the most qualified leads. But if you are using conversational AI platforms, they can send automated emails and follow up on even the lesser qualified leads. They can ask questions and make contact to get how the lead can be engaged and converted. Once these leads have become more qualified, they can be transferred to real people. In this way, your company does not ignore any kind of leads – more or less qualified.

Conversational AI Prevents Leads from Falling Off

Sometimes, the sales team may just give up on certain leads. They want to use their time in the most productive manner and as such filter better leads and customers that respond consistently. With conversational AI, you can avoid any unresponsive leads falling off. Often, some leads are ignored because they are not ready, but they might turn ripe after a couple of weeks or months. The key is keeping the lead engaged throughout that long time. Conversational AI can help you convert that lead by regularly engaging and following up on the conversation. Unlike sales agents, they do not get tired or discouraged and perform the task consistently.

However, you need to be mindful of what kind of follow-up you want to put out. Sometimes, chatbots just spam customer inboxes which can be a source of frustration. Instead, you want your conversational AI to follow maybe just once a week with a more personalized and naturalized language that gives them new information. Many chatbots have failed to satisfy customers as they spam the same message to all customers without customizing it. The modern customer is expecting personalization more than ever. As such, you cannot ignore this need.

Remember that your conversational AI should talk and feel like a human instead of a robot. For 84% of customers, being treated like a real person instead of a code/number was very important for their customer service experience. Many customers may not even realize that their first point of contact was a bot and not a human agent.

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With that said, the inherent limitations of these AI-powered tools will hold them back from ever being a true replacement for human writers. Below, I explain why.

AI is Still Developing

Those who are experimenting with AI-powered writing tools must remember that the technology is still very much in its infancy. For example, ChatGPT — one of the most popular artificial intelligence tools on the market right now — was initially released in November of 2022, meaning that it has only been around for mere months. 

In the time since the release of ChatGPT, users have complained about issues of factual inaccuracy and even insensitive language, showing that these tools are still in need of significant development and improvement before they would ever be able to be independent. Ultimately, this seems like a point that will never come.

The nature of AI technology, however, is that it will always be in its infancy. Whereas society tends to grow and evolve naturally, artificial intelligence must learn in order to grow. Although artificial intelligence is capable of processing data — and therefore learning — at much quicker rates than humans, the inputs from which AI can source this data are limited. As such, an AI’s ability to conduct research for writing is limited by the ability of humans to synthesize resources from which it can pull data.

Due to this limitation, artificial intelligence is best implemented as a tool or aid to supplement the work of a human team, rather than a one-to-one replacement. Still, it is necessary to remember that — like any tool — AI is only as good as the hand (and mind) behind it. 

ChatGPT and Jasper have proven to be useful tools for writers, but their output is significantly limited. It must be edited and expanded upon by a skilled human writer to bring the content up to par.

AI Lacks Emotional Intelligence

One of the main shortcomings of AI tools is that they lack emotional intelligence. Some have claimed that artificial intelligence has the capacity to recognize emotions, but to this point, no AI that is currently commercially available has passed the Turing test. Instead, it seems that the “emotional recognition” of artificial intelligence is merely a prediction based on certain data points, such as the use of specific words or phrases that tend to be associated with a particular tone.

This lack of emotional intelligence also means that an AI’s applications are generally not customizable. A majority of the content that writers create must have a narrow focus, and AI cannot understand the nuances of the needs, wants, and expectations of individual human clients. 

The “customization” of an AI tool would require “teaching” the algorithm through a substantial amount of data input over a significant period of time. For a commercially-available, non-proprietary tool, meeting these customized needs clearly isn’t practical.

Furthermore, artificial intelligence lacks — and is unable to learn — the soft skills that clients have come to expect from years of working with human writers. The near-instantaneous results provided by an AI program are a double-edged sword, as this eliminates the possibility of any collaborative process. In today’s increasingly complex business world, skills like teamwork, leadership, and communication are more important than ever, and an AI will not exhibit these qualities.

AI Requires Human Input

Artificial intelligence’s creative expression is limited by — and is entirely dependent upon — the data it receives. For example, human writers can pull from their own personal experiences in their work, whereas AI tools can only pull from the human-generated data available to them. Furthermore, AI does not have the capacity to imagine, it can only predict, meaning that it is impossible for an AI tool to synthesize anything without some level of pre-existing input.

For the foreseeable future, AI will remain dependent on external human assistance in order to function successfully. Without humans to input new data into the databases AI programs pull from, or to intervene in cases when the system crashes or becomes corrupted, artificial intelligence will not be able to function properly. 

The only reason that AI works is because of human work. And without human intelligence, there cannot be any artificial intelligence.

Artificial intelligence can be an extremely powerful tool for writers to help make their work more efficient. As more and more tools commonly used by writers begin to implement AI features, it is likely that writers’ work will become better and easier. 

Nevertheless, it seems unlikely that artificial intelligence will ever be able to totally replace a human team of writers. Human writers are able to provide a level of service, customization, and attention to clients that no AI program ever could.

The post Why AI Can’t Replace a Client-Focused Team of Dedicated Human Writers appeared first on SiteProNews.

Case in point, this year’s Consumer Electronics Show provided a glimpse at whiz-bang technology and gadgets, as well as what might be the first in a whole new generation of premium VR headsets from some big brands as well as upstarts.

However, what everyone and all industries continue to fail to take into account is that none of this technology means anything unless the platforms they run on is ready to take off. Because of this, 2023 shouldn’t be viewed as the year of hardware and gadgets, but instead it’s the year of the platform for these technologies.

What Is Meant by Platform?

Look at it this way, imagine if you took today’s latest iPhone and ran it on the operating system from 2009. Even though the hardware is amazing, its performance would virtually make the user experience meaningless. The same has been the case for AI, and much of the immersive mixed reality technologies that comprise AR/VR.

Enterprise-grade high-quality AR/VR platforms require both performance and scale. However, existing systems such as MS HoloLens and others are severely limited in both aspects. Most enterprises have a rich repository of existing complex 3D CAD/CAM models created over the years, which is a critical part of the digital thread being laid out. These 3D models may vary in their complexity (such as poly count, hierarchy, details, etc.), making it difficult to run on standalone devices, restricted by device limitations. This forces developers to decimate and optimized the models to work on limited resources available on these devices, breaking the digital thread.

Businesses need to know that as these virtual environments become richer and larger, the problem of scalability continues to compound. This cycle is repeated for each of the different hardware platforms, making it difficult for any enterprise to move from experiments and pilots to full-scale deployable solutions, thus stunting the speed of innovation and effectiveness.

The device limitations also severely restrict the capability of existing AR/VR systems to generate and work within most cloud environments, which is essential to collocate and precisely fuse the virtual objects on top of physical objects in the real world with complex surfaces, and varied lighting and environment.

Businesses in 2023 are finally overcoming this significant challenge by leveraging AR/VR platforms that are based on distributed cloud architecture and 3D vision-based AI. Up until 2023 many of these platforms were not cloud-based and relied on datacenter technology on premise – which for years had slowed the process and compute capacity to a point in which the user experience was not ideal for today’s requirements. However, in 2023 these cloud-based platforms now provide the desired performance and scalability to drive innovation in the industry at speed and scale.

Businesses today are experiencing the next wave of technology innovation that will fundamentally alter the way they operate. This transformation is primarily driven by merging of the digital and physical world to create a better, smarter and more efficient way of operating. Immersive technologies such as AR/VR are playing a pivotal role in this transformation. The organizations that take a leadership role will be the ones that not only leverage these technologies, but they will partner with the right technology provider to help scale appropriately without having to stunt technological growth.

Cloud Platforms Enable “Digital Twins”

It is this sort of platform that is finally enabling today’s IT leaders to build the Metaverse – knowledge workers and things being represented by “digital twins” – a virtual world where people, consumers, workers all gather to communicate, collaborate, and share through a virtual presence on any device. This means companies will build immersive virtual spaces, aka metaverses, and it will allow employees to virtually collaborate using their digital twin through chats, emails, video calls and even face-to-face meetings.

Well-known companies like Microsoft, Accenture, and Facebook, which itself is now called Meta, are all paving the way toward this new reality of business with their headsets and hardware, but none of it can truly excel and perform without the right platform working behind the scenes building immersive reality, modeling and simulation technologies that will ultimately power this new metaverse and virtual environments for business and enterprise use.

In 2023, platforms will finally breathe life into these technologies based on the following specifications, all made possible by their cloud-based environments as the engine:

1. Virtual Reality Space Convergence

• Ultra-low Latency High Fidelity Rendering: Low latency is extremely critical to provide an immersive experience in virtual environments. AR/VR partners provide unparalleled realism of environments by leveraging ultra-low latency remote rendering on cloud/on premise in full fidelity and wirelessly streaming the solution to affordable commercial-off-the-shelf (COTS) devices – HMD, Tablet and Desktop.
• High Precision 3D Artificial Intelligence (AI) based Spatial Mapping: Uses high-fidelity remote spatial mapping with high fidelity 3D scene reconstruction, scene segmentation and 3D object recognition using 3D vision and deep learning-based AI with precise fusion of the real and virtual worlds to merge real world and virtual worlds.

2. Communications and Computing Infrastructure

• Cloud computing/edge computing: Industrial enterprises will subscribe to multi-cloud, edge cloud. Depending on different factors like data sensitivity, latency, cost, different parts of the environment need to be run at different clouds/edge in a distributed manner.
• Messaging framework: In the distributed Metaverse there is a need to update the Metaverse at global scale so users can collaborate seamlessly. AR/VR partners have messaging framework updates distributed to the Metaverse at global scale. 

3. Fundamental Common Technology

• Security and privacy: Security and privacy is one of the biggest issues facing today’s world. Since digital twins are an integral part, these environments will have much richer data. The security and privacy in virtual environments cannot be solved by traditional security tools. AR/VR partners have built tools that handle security and privacy related to digital twins.

Technologies like AI, IoT and AR/VR have been hyped for years. But 2023 is the year of the cloud-based platform that finally enables each of these technologies to power business and consumer applications.

The post Why 2023 Will Be the Year of the ‘Platform’ that Powers AI, IoT and AR/VR Technologies appeared first on SiteProNews.

One reason is that most people are spending large chunks of their time online these days. This is why brands are taking advantage of the time consumers are spending online. These brands are now using content marketing services and AI to run ads online. This allows them to reach out to customers who are active on the internet.

But, not every brand is convinced of the use of AI in digital marketing. So, we’re here to talk about why artificial intelligence is the future of digital marketing.

AI and Content Intelligence

Artificial intelligence is known to have benefits for content creation. This in turn allows AI to play a big role in content marketing as well. These days, AI has given rise to a new field known as content intelligence. Content intelligence is all about giving data-driven insights to content creators.

It also involves providing content creators with the feedback they need. They can use this feedback to improve their online marketing campaigns. The feedback they receive using AI will make content marketing easier in this way. Also, receiving feedback will allow you to create better content for your consumers.

The best part about using AI for content marketing is that it’s versatile. You can use AI-driven content marketing efforts across many platforms. These platforms include social media platforms like Instagram and Facebook. You can use AI to help you design your social media posts.

The artificial intelligence software will take into account the latest trends on social media. This would allow you to incorporate these trends into your digital marketing efforts. So, consumers would be more likely to view your content in a good light if you followed these trends.

You can even use AI to improve the rankings of your online ads. This will allow you to attract more traffic to your ads and site. AI would make it easier for you to determine what works in a marketing campaign. It then allows you to duplicate these results in your content marketing efforts.

AI reduces the need for human labor to perform these tasks. Without AI, your staff would need to manually analyze your website rankings. The AI software you use can give you statistics on how many viewers are clicking on your ads and buying your products. 

AI and Creating Better Content

There’s another reason why AI is considered the future of digital marketing. Most people agree that AI has no trouble figuring out what customers want. It can do this by uncovering crucial customer insights for you to view. You can use these insights to enhance your online content marketing efforts.

Often, you would need human labor to write down your ad content for you. But, these days you can rely on AI software to write down ad headlines and more for you. AI can suggest popular headlines based on the trends on social media. This will allow you to access many options while using minimal labor.

You can use artificial intelligence to make ads for a content marketing campaign. You’ll soon find that your content marketing strategy has improved tenfold thanks to the use of AI. Another advantage of using AI is that you can use it to create push notifications for customers.

The AI software you use can create a schedule to send out push notifications at optimal times. These notifications will follow the marketing tone of your existing marketing campaign. So, you can see how it can help streamline your content marketing efforts on the internet. You can even incorporate the best PPC marketing tips to improve your efforts.

PPC (Pay-Per-Click) marketing deals with how much traffic you receive on display ads. You should know that a well-designed ad is more likely to receive a healthy amount of traffic. So, it’s important that you use the right artificial intelligence tools for your PPC efforts. 

Also, note that you can use AI to discover new marketing channels your competitors don’t know about yet. This will help you gain quite the advantage over your competition online. You could even use AI platforms to optimize your budget ad targeting.

AI for Email Marketing

You can even use artificial intelligence to set up your email marketing efforts. Email marketing involves more work than most people seem to realize. You would need to come up with creative subject lines and much more for email marketing. Remember, with email marketing, it’s all about how many people open your email and click on your ad.

It’s not easy to market your products via email for any reason. The fact that people mostly check their email for work is one of these reasons. So, you would need to put your best foot forward to improve the click-through rate (CTR) on your emails. 

This is where artificial intelligence software can make an impact. You can use AI for email content marketing in several ways:

• AI-powered tools can be used to help you write catchy subject lines for your emails. These subject lines are often interesting enough to grab a viewer’s attention. Viewers that find these subject lines interesting are more likely to open your ads and click on them.
• You can also use AI to determine how many people are opening your emails and clicking on the links provided. This will make it easier for you to determine your conversion rate online. 

You’ll find several AI tools online that help you with these tasks. You’re sure to find a tool that fits your requirements perfectly. You’ll even find tools that can optimize the timing of your emails.

AI and Predictive Analytics

You can also use AI for predictive analytics to make your ads better. Everyone who knows predictive analytics cannot argue its usefulness. You can use predictive analytics to understand how your customers will behave later. This will make it easier for you to design ads that will appeal to them.

You can develop effective marketing strategies if you use predictive analytics. Companies in many industries are using predictive analytics to engage their customers. They use analytics to understand how customers respond to their content marketing strategies.

Leading apparel websites analyze customer behavior to see where they’re going wrong. They try to figure out how long customers stay on their landing page. They also record how many customers that click on their ads buy their products. The rate at which customers buy their products is known as the conversion rate.

A company with a good conversion rate likely has a good revenue stream. This is one of the reasons why it’s important to focus on AI for content marketing. The best AI tools can use algorithms to analyze large sets of data. This in turn allows them to achieve specific objectives. They work as prediction machines to help you understand the results of the data they analyze.

This would leave you better equipped to align your marketing efforts with AI data. You can also identify tech issues with your website using AI tools. For instance, if your customers have a low response rate, it could be due to several reasons. One of these reasons could be long load times on your server.

You can start working on getting rid of these issues once they come to light. You can also increase your lead-scoring efforts to find the right customers. In the long run, this will help you capture your target audience.

AI and Product Recommendations

You can even use artificial intelligence to recommend products to your customers. This would make it easier for you to market your products to an interested audience. Machine learning allows you to improve product recommendations online. The right AI tools will allow you to make good predictions about what customers are interested in.

AI tools will also allow you to make timely predictions on customer behavior. Many recommendation engines these days use artificial intelligence. This is why they play a huge role in companies that rely on content marketing. Content marketers use recommendation engines to understand how customer tastes might change.

This allows them to understand how to change their campaign to match customer tastes. The recommendations that AI engines make are tailored to these tastes to be helpful. Using these recommendations can make a good impact on your content marketing campaign.

Large online retailers use AI tools to consider customer preferences. These retailers include the giant marketplace, Amazon. You’ll find that these retailers use AI to make a significant part of their revenue. Also, customers find themselves returning to these sites thanks to the recommendations.

A customer who finds what they want on your site is likely to return to it. But, you should use the right marketing strategies to ensure customers remember you. These days, social media platforms allow you to stay in touch with your customers. You can use platforms like Instagram to reach out to millions of people.

You can share information on your brand and offers to keep customers interested. You’ll find that using these tactics will help you improve your customer retention as well.

The Future of AI

You can use AI for everything from customer service to lead generation. Remember, AI tools are available for every area of marketing these days. Also, the role of AI in content creation cannot be overstated. Content creators are relying on AI to help them understand how to relate to audiences.

This is why AI is widely considered to be the future of content marketing today. AI makes it easier for you to determine what your target audience will respond well to. It also makes it easier for you to understand how you can improve your content marketing efforts. You’ll see how this will help you widen your consumer base in the long run.

With companies now focusing on customer needs to promote products, you can see why AI will lead us into the future. Also, the need to reduce dependency on human labor makes AI an attractive choice for most companies today. 

Conclusion 

These were some of the many reasons why AI is important for digital marketing. Businesses should decide if they want to use AI the right way to keep customers coming back for more. After all, the fact that AI has versatile uses shouldn’t go to waste. You should be able to use AI to suit your content marketing needs.

The post Artificial Intelligence and the Future of Digital Marketing appeared first on SiteProNews.

More and More Business Adopt AI Each Year

The results of the 2021 McKinsey study found that the use of Artificial Intelligence is still increasing
steadily: 56 % of all participants, compared to 50% in the year before, report AI usage in at least one
sector of their business and marketing activities.
According to the most recent findings, the adoption of artificial intelligence has expanded fastest since
2020 in businesses with headquarters in developing nations, such as China, the Middle East, and North
Africa: 57% of respondents claim to use AI in one form or another, rising from 45% in 2020.
Additionally, across all geographies, Indian businesses have the greatest adoption rates, closely followed
by those in Asia-Pacific.

These 5 Digital Marketing Areas Are Begging for AI

Content Creation

The main way that AI and machine learning are helping companies is by giving them the information
they need to generate good content. Major magazines already employ this technique to take previously-
existing data and blend it with buzzwords and keywords to produce original content that draws website
traffic.
News organizations have practised this for a long time, including the BBC. Because of how effective and
cost-efficient this method is, most likely you’ve read an AI-powered article from a major media news
before without even recognizing it. Already there are tens if not hundreds of AI-powered content-
generating tools on the internet.

Performance Marketing

Without a question, the most common niche of digital marketing that employs AI is performance
marketing. For instance, the ad systems of Google ads and Facebook currently employ AI and machine
learning to identify those more likely to perform a conversion close to the advertiser. In order to
accomplish this, the platforms analyze user data such as interests, geo-location, demographics, and
other factors in order to identify the greatest audience for their business.

The automated auction-based approach that Google AdWords has already enabled marketers to spend
the least amount per conversion. The same approach is used on programmatic media buying auctions.
Machine learning is used by programmatic networks to make live-auction bids on relevant advertising
space to target the desired consumer audience. Data on preferences, geography, past purchases, buyer
intentions, and other factors are used to influence the bid.
This makes it possible for digital marketing departments to use AI and target the proper channels during
the best time and for a reasonable price. The use of programmatic purchasing is an example of how
machine learning may boost advertising flexibility to accommodate changing consumer wants and
desires in real-time.

Email Marketing

Based on customer habits and general behaviors, brands are personalizing email marketing efforts. This
makes it possible for you to communicate with them more skillfully and, perhaps, convert them into
customers. Machine learning algorithms can analyze millions of points of data about every single
customer and give you live insights regarding how to approach them.
You can know at what time each topic is most likely going to be opened, how to optimize your subject
lines, and what are the best preheaders to grab the user’s attention and increase open rates.

AI-Inspired Website Design

Consequently, artificial intelligence and deep learning have advanced to the point that they are now
being utilized to assist businesses in developing good websites utilizing the actual actionable insights of
their previous and current clients.
There are countless tools and software that basically “suggest to you” where to place elements like
photos, text, or CTAs on a web page by referring to consumer activity from a variety of sources. Imagine
you have an ML system but have no way to be sure where to place specific design elements to provide
your clients with the most desired flow and UX. These tools will assess how users engage with your
platforms, taking the guessing risk out of the process.

Predicting Customer Behavior

Many companies are utilizing AI systems to forecast future user actions as well as to improve the
understanding of prior customer behaviors. If you can forecast everyone else’s conduct based on prior
actions or indications of interests, you can usually predict their future actions, desires, and interests, as
well.
Thanks to marketers having the chance to quickly filter out those who are less likely to convert. This
frees them and allows them to allocate all of their budget and efforts to the hotter leads with higher
quality.

Final Words

The marketing industry is heading down a thrilling path. Each day, AI and machine learning algorithms
are beginning to make a difference in more marketing-related fields. Perhaps, in a few years, it would
become a must for marketeers to have a solid understanding of AI in order to keep their jobs and to
continue honing their skills.

The post Artificial Intelligence: Future of Digital Marketing appeared first on SiteProNews.

From computerized trading terminals and electronic stock exchanges to online trading and satellite surveillance of physical assets, the investment industry has never been slow to harness the opportunities presented by new technologies. Tech and investing go hand-in-hand, and the latest development to make its mark on the sector—and potentially the most significant to date—is Artificial Intelligence, or AI.

One of the greatest strengths of AI is its ability to process and analyze vast amounts of data, quickly, efficiently and accurately, making the technology a powerful tool for making critical and time-sensitive decisions. As the worlds of investment and AI begin to intermingle, an increasing number of applications are presenting themselves, with algorithms helping investors make smarter decisions across multiple use cases.

What is AI?

It’s worth going back to basics and explaining what is meant by Artificial Intelligence. Investopedia gives a helpful definition: “The simulation of human intelligence in machines that are programmed to think like humans and mimic their actions”. But by harnessing a computer’s processing power, an AI uses algorithms to perform tasks far more quickly and more accurately than a human would ever be able to.

“Machine learning” is an integral element of AI, in which an algorithm is “trained” by being fed huge amounts of data, effectively making it more “intelligent” and enabling it to make more well-informed, reliable and accurate decisions. Sometimes an AI will be trained to perform a basic but laborious task, to achieve it more rapidly or free up human labor. In other cases, however, an AI is used to augment human skills, as the ability to process huge quantities of data helps achieve things that were previously impossible.

AI can be seen in industries as diverse as healthcare (where it is used to synthesize drugs or to aid in preventative care), manufacturing (predicting machine failures and increasing productivity), education (facilitating virtual classroom experiences) and logistics (monitoring and optimizing supply chains). The finance industry is no exception (one of the most common uses is automated fraud detection through monitoring of suspicious activity) and a recent survey by technology firm NVIDIA revealed that 83% of financial services professionals consider AI to be crucial for future success. There are numerous applications for investment…

AI for Investment

A recent report from Deloitte outlines the opportunities that AI presents for investment management, and highlights above all the added efficiency that the technology can bring to the industry. To summarize, AI can help to drive investment efficiency and generate higher returns, through its ability to recognize patterns and anticipate future events. Today, AI has the sophistication to create good rules for itself, meaning that it can make reliably optimal decisions.

It’s worth focusing in on four key areas where AI can help investors.

Algorithmic Trading

Proprietary algorithms can aid in trading by rapidly collecting and analyzing data about market conditions and price movements, using this information to carry out automated trades. These decisions are made at lightning speed, which makes them ideal for high-frequency trading.

Until recently, using machines to make trading decisions has largely focused on short-term investments due to the relevance of rapid decision making. However, as the technology (and our use of it) becomes more sophisticated, AI is now supporting long-term funds as well.

Portfolio Management

AI can help to optimize portfolios through a number of uses. It can create automated insights (by rapidly reading transcripts, for example) or map unexpected relationships between assets and market indicators. It can also monitor search engines for investment or market activity. Artificial Neural Networks (aka ANN, a type of AI) has been proven to be a superior prediction tool compared to linear regression models, due to its ability to handle the chaotic and dynamic nature of the markets.

Text Mining

Text mining and related syntactical analysis is a ubiquitous application for AI, but it has some powerful applications for investors. A machine can automatically scour news reports, social media content and other texts for information that could predict stock performance and market trends—and it can do so in a fraction of the time that it would take a human.

Text mining can also help with compliance management and regulatory reporting, as AI can extract the latest information far more accurately and efficiently, eliminating errors, and it frees up employees for other tasks.

Risk Management and More

One of the most crucial elements of investment is risk management, and it’s perhaps here that AI is the real game changer. When all the above use cases are considered as a whole, it’s clear that AI provides investors with improved compliance and risk management, by enhancing data analysis, accelerating decision making, removing human error, and helping to anticipate and mitigate unknown factors.

In addition to all the above, there are a vast array of administrative uses and back-office applications where AI can increase efficiency for every industry—it can even help with client outreach and lead generation by analyzing social media data.

Enhancement, not Replacement

In short, AI helps investors generate return by improving efficiency, providing better insights and enabling faster, more in-depth analytics. However, one last thing to note is that this should be combined with traditional financial data and analysis—and traditional, human staff.

Indeed, when incorporating AI into operations, a firm should think not in terms of “automated workforces”, but “augmented workforces”, continuing to recruit talent—and remembering that employing data scientists who know how to work with AI is just as important as employing the AI solutions themselves. Investors should also be looking to introduce AI in conjunction with other technological advancements, like blockchain technology, the cloud, and quantum computing.

With companies, governments and the public growing more accepting of a world where they interact with intelligent machines on a daily basis, it’s inevitable that AI will play an increasingly central role in every aspect of our life, and a truism that Artificial Intelligence and smart investing are the future of finance. Given the hugely positive impact AI can have on investment efficiency and alpha generation, this is something that every investor should embrace.

The post AI: The Best New Technology in the Investor’s Toolkit appeared first on SiteProNews.

Artificial Intelligence (AI) seems to be an excellent middle ground. It helps you make more content without hiring an entire team with far more expensive fees.

That said, is it really suitable for your content marketing strategy? Are there problems you might run into? And finally, is it even effective?

Why Would You Use AI for Content Marketing?

Content marketing continues to yield significant ROI for a lot of websites. However, you can’t just make whatever you want and expect immediate results. To generate the most ROI, you need to consistently produce high-quality content.

Unfortunately, this isn’t an easy feat. High-quality content isn’t easy to make, after all. As a result, content marketers can’t produce as much content as they want. Hence, many marketers hire content writers and site managers to increase content production.

Big companies might have an entire team of editors, researchers, and writers to ensure they’re publishing new content multiple times a day. If you’re new to SEO or a small business, you might be unable to keep up with your competition.

AI content creation tools can make long-form blog posts from scratch. In most cases, you only need to provide a title, list some keywords, and do a few tweaks to get an instant 1000-word blog post. For small content marketing operations, this seems like a great way to compete with bigger companies.

The Potential Problems With AI Content Creation

Google is cracking down on AI-generated content. As a result, several websites that used to do well in the past couple of years stopped getting traffic altogether. Google has essentially punished AI content to clean up the SERPs.

Remember, Google prioritizes the end user. Therefore, they want searchers to find high-quality and relevant content. AI-generated content tends to be robotic, stiff, or outright plagiarism. Bot-generated content tends to be less coherent (as opposed to ones written by real content writers), so Google wants to avoid it altogether.

Even the most expensive AI content tools occasionally create nonsensical, outdated, or irrelevant text. Sometimes, the generated content isn’t even relevant to the title and keywords you input. So, if you’re not careful, you might post gibberish content that none of the end users will appreciate.

Can You Still Leverage AI for Content Marketing?

Surprisingly, yes.

Despite all the negative things I’ve mentioned, there is a way to use AI content generators to streamline your content creation. However, you still can’t rely on AI content tools to create content from scratch. You’ll still get penalties if you use a generator, copy-paste the result, and publish it without a second glance.

Instead, you can use AI content tools to help you make better content. Here are some ideas on how to incorporate them into your content creation strategy:

• Get content ideas. If you’re running out of ideas, AI content tools can suggest titles, keywords, and talking points for you to expound on.
• Use it as an outlining tool. Instead of letting the AI generator do all the work, just generate an outline with potential talking points. You can add and remove points from the outline as you see fit. This will reduce the time you need to research a topic.
• Add a “human touch” to your AI-generated content. Google can detect nonsensical, almost robotic sentences in AI-generated content. To avoid the penalties, you can use your AI tools to generate a draft and thoroughly do edits. Here, you can write more conversational phrases, use a relaxed tone, and add realistic examples.

Do note that you still need to invest significant time and effort into making AI content less spammy and robotic. In this case, your AI content tools are no longer used for instant, copy-paste content. Instead, it’s now an additional tool to improve and streamline your creation process.

Should You Purchase an AI Content Generator?

You can, but you must understand the possible risks of posting unedited AI-generated content. If you’re a small business looking to invest in content marketing tools, a good word processor, grammar tool, or plagiarism checker might be a better first option.

If you already have all the basics, you can consider getting an AI content tool to boost your creation process.

That said, Google still prioritizes content that appeals to real people using the searches. So, it would be best if you were very careful about your use of AI.

You can’t let it churn out content for you. Otherwise, your site might suffer from penalties and lost traffic.

The post Should You Use AI for Content Marketing? appeared first on SiteProNews.

Small businesses will be armed with the power of AI to hyper-personalize the user experience and improve their SEO. They can effectively target the user search intent by providing intuitive and valuable content that ranks well.

Being an industry insider for many years, I have seen and closely analyzed various shifts in search engine optimization trends. And from my experience, AI in SEO is one of the trends that’ll pave the way for new opportunities for small businesses to optimize and rank better.

Let us start with understanding what Artificial Intelligence SEO or AI-Powered SEO is all about.

What is Artificial Intelligence SEO?

Artificial Intelligence in SEO is still a fresh and vague concept even for many industry insiders. It’s shrouded in mystery as many seem to believe AI SEO is only limited to upselling, personalization, data collection, content creation, etc.

However, AI is more characterized for smarter collecting, sorting, and processing of vast amounts of data.

AI SEO refers to using the capabilities of AI & Machine Learning to guide and optimize a web page or website to rank better and higher on the SERPs. From keyword research to content creation, SERP analysis, and optimization tips, AI would assist in much more ways.

Data analysis is an essential part of SEO improvement, which most SEO professionals are aware of. Since AI is better equipped to take actions based on the analyzed data, it may aid SEO experts to form an effective AI-enabled SEO strategy.

It requires minimal labor and technical expertise, making it flexible for small businesses to adopt AI into their search engine optimization strategies more efficiently. 

Here’s more on the role of AI in SEO:

Role of AI in Shaping the Future of SEO for Small Businesses

1. AI Tools for SEO Task Automation

Search engine optimization involves a lot of heavy lifting and hard work. It requires constant monitoring, tweaking, and testing of various SEO elements. Integrating the right AI SEO tools would help small businesses to get the most out of them and even automate certain tasks.

Tasks such as keyword research, getting SERP insights, topic idea clustering, content creation, researching relevant sites for link building, etc. can be easily tackled by AI-powered tools.

Here, are a few well known AI-powered tools that most likely strengthen the SEO automation for small businesses, that I suggest:

• Keywords Insight AI: This smart AI SEO tool can automate the task of grouping similar keywords based on their search intent.
• Frase: It’s an AI-based SEO tool to create content that matches the user’s intent.
• Can I Rank: Another great tool that offers suggestions on keywords to target and pages that need optimization.
• Alli AI: Alli AI is an all-in-one SEO automation tool to increase traffic, build quality backlinks, and boost business outreach.
• Rytr: It’s a GPT-3 based AI writing assistant to produce human-like quality content faster and easier.

I’ve only listed a fraction of the number of AI SEO tools available in the market. A ton of others are under development and may get to see the light of the day when AI for SEO goes mainstream.

2. AI to Offer Dynamic Hyper-Personalization

Hyper-personalization is going a step above than just offering relevant content or product recommendations. If the powers of AI are truly utilized in the sense it has been created to, businesses can see a significant rise in their ROI. 70% of marketers have already agreed on seeing a 200% ROI after using advanced personalization tactics.

The machine learning arm of AI is better able at natural language processing, which enables businesses to comprehend the user needs. It sheds light on what content moves customers from one phase to another.

From nurturing at the top of the funnel to a dynamic landing page, cross-selling/upselling, and offering tailored experiences, hyper-personalized content helps users push further down the funnel.

The benefits of the same are higher CTR, engagement, page session, conversion, and reduced bounce rate — all of which contribute to boosting SEO.

3. AI to Revolutionize the Content Marketing

Content marketing is one of the best weapons in SEO’s arsenal. A SEMrush study found that businesses grew their organic traffic by 3x and 1.5x by publishing ‘Guide’ and ‘How-to’ content articles respectively. AI will transform the content marketing landscape for the better.

The current AI and machine learning ecosystem may not be enough to create unique and meaningful content. However, researchers from Cornell University predicted that AI will write high school essays by 2026 and a bestselling book by 2049.

Another study by Gartner published on CMSWire found that by the end of 2022, 30% of digital content will be produced with the aid of AI.

However, the way we have been progressing, I think the day might come sooner than expected and a storm of content creation tools that capitalize on AI capabilities will soon be available. So, small businesses should be ready to adopt and integrate them into their SEO & content marketing strategy.

4. AI to Optimize Voice and Visual Searches

The world is steadily adapting to voice-activated devices and searches. With the introduction of smart assistants like Amazon Echo and Google Assistants, voice searches have soared high.

In a PwC study, 90% of those surveyed were aware of the voice assistants and 72% of them had used one of the voice-enabled smart devices. Another report by Statista forecasts that 75% of the households in the US will own at least one smart speaker by 2025.

Thanks to the advancements of AI’s capabilities to process human interaction and natural languages, search engine optimization has been greatly influenced. The devices are more capable of speech recognition and interpreting long-form questions that users may throw at them.

Google along with other search engines greatly emphasizes voice search and their optimization. Ranking algorithms are evolving and amended to make place for voice results. Moreover, Google’s RankBrain AI-based algorithm is being reformed to recognize the words and phrases to present better-predicted outcomes.

Another arm AI can impact for great SEO is utilizing visual stories and search features. Here’s an example of visual stories:

Usually, such visual stories appear on the Google news feed of Android smart devices. Since its introduction, visual stories have become an integral part of Google’s news feed. Since Rankbrain works on AI, Google will personalize the visual stories that appear on the individual user’s devices.

This presents small businesses another opportunity to get in front of their audiences to boost the engagement and SEO metrics of their website.

5. AI for SERP Data Analysis and Performance Tracking

For a long time, understanding Google’s ranking factors and SERP data has been one of the biggest challenges most SEO professionals had to face. Even after being in the industry for many years, many SEOs have not perfected their craft to understand the ranking factors.

But AI and Big Data have come to the rescue to help SEO experts gain more insights into SERP data and Google ranking algorithms. These insights are key to making smarter optimization decisions.

Businesses can utilize open-source AI-enabled software and SEO tools that offer the most accurate, comprehensive, and cohesive dataset. They can even use such tools and datasets to track and understand the SEO performance of their website with more granularity.

Conclusion

Marketers and SEO professionals have already started tapping into the potential of AI in solving a wide array of SEO problems. Thanks to the incarnation of many AI-based SaaS SEO tools, small businesses are set to gain the upper hand if adopted and integrated rightly.

Although AI may never be able to replace the manual effort for search engine optimization for at least the foreseeable future, it’ll be vital for small businesses to cornerstone the success of SEO campaigns.

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