Archive 23.04.2025

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Material? Robot? It’s a metabot

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The invention is a metamaterial, which is a material engineered to feature new and unusual properties that depend on the material's physical structure rather than its chemical composition. In this case, the researchers built their metamaterial using a combination of simple plastics and custom-made magnetic composites. Using a magnetic field, the researchers changed the metamaterial's structure, causing it to expand, move and deform in different directions, all remotely without touching the metamaterial.

Magnetic ‘metabot’ can expand, assume new shapes, and move like a robot—but without motor or internal gears

By in News, robotics, Robotics Classification, robots, robots in business, Robots Podcast Tag
In an experiment reminiscent of the "Transformers" movie franchise, engineers at Princeton University have created a type of material that can expand, assume new shapes, move and follow electromagnetic commands like a remotely controlled robot, even though it lacks any motor or internal gears.

Managing Cybersecurity Risks in the Age of AI

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When it comes to cybersecurity, we need to consider the good, the bad, and the ugly of artificial intelligence. While there are benefits of how AI can strengthen defenses, cybercriminals are also using the technology to enhance their attacks, creating […]

The post Managing Cybersecurity Risks in the Age of AI appeared first on TechSpective.

AI In Education: The Role Of Artificial Intelligence In Education and Learning

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How Is AI Making An Impact In The Field Of Education?

The education industry is in a race to catch up with the artificial intelligence trend. Most educational institutions, including elementary, higher, professional, and training environments are increasingly using AI applications. The primary reason behind this transformation is to provide better learning experiences through intelligent AI learning.

AI in learning or AI-powered learning methods helps educators analyze the grasping power of students. It varies from student to student. On the other hand, the use of AI In education also helps learners to understand the concept at different rates. The online learning and thinking abilities of each student are different.

Artificial intelligence in Education is the best option to overcome all challenges in learning new things. AI technology in education makes your learning process efficient. It helps educators or mentors to provide better, informed, and personalized services to students.

Intelligent AI apps in education sector are playing a vital role in improving the way of learning and training processes. AI applications in education help students access the course materials and listen to the subject demo sessions anytime from remote locations. Thanks to advanced AI technology. We can get everything at our fingertips.

USM Business Systems, the #best AI app development company, develops advanced and powerful AI apps for the education industry. Using Machine Learning (ML) capabilities, we build Android and iOS apps that help educators enhance their teaching ways and offer personalized learning experiences to students.

Byju’s is one of our prestigious e-learning platforms developed by our top Android and iOS developers. Integrating AI features in educational apps or e-learning apps, our expert mobile app developers have offered an ultimate online learning platform for the education sector.

Currently, Byju’s, a top and most used e-learning platform is giving a competitive edge to educational institutions. It has deployed AI e-learning apps for interacting with students and providing more personalized tutorials.

To know more about our AI services and solutions for the education industry, connect now.

How Is AI Used In Education Industry?

The impact of Artificial Intelligence on education industry could be high in the coming years. Personalized learning, collaborative online platform, and 24*7 availability as significant benefits, AI will offer new avenues to the education sector and transform the teaching and learning ways.

However, applications of AI in education industry are ample. The technology is benefiting both educators and students in many aspects. There are numerous uses of AI for the education industry. In this article, you can get brief information on significant AI applications for the education industry.

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Top 10 Applications Of AI In Education Industry

Let’s take a look at the most popular and top 10 ways AI is changing the education industry.

#1 Personalized Learning with AI

Hyper personalization in learning is achieved with AI

It is one of the top use cases of AI in education sector. AI-based devices offer personalized learning services for every student. ML algorithm makes it possible. Using ML algorithms, AI educational apps can track the students’ learning progress and customize the materials based on their knowledge, experience, and learning mode.

Are you looking to hire top AI developers in USA?  We are the best mobile app development companies in the area you look.

Let us know your educational app requirements and get the best AI education app that meet all your business requirements.

#2 AI Voice Assistants In Education

It is a topmost and trending application of AI in education sector. AI-powered conversational or text-based digital voice assistants will be the next tutor in the coming years. Alexa is one of the best AI examples in education that assists students in browsing study materials and saves their time in manually searching for relevant content.

The role of AI in education rushed a step forward. Moreover, the integration of AI-based virtual assistants or AI chatbots in education apps is also gaining momentum for improving the learning experiences and providing instant responses to learners. Education apps with these adaptive learning features are allowing students to learn from anywhere at any time.

Emergence of Voice Assistants

 

#3 AI Helps Educators In Performing Efficient Organizational Tasks

 

Helps educators in performing efficient organizational tasks

One of the best use cases of using AI in education. In addition to training, instructors need to manage various organizational tasks. They need to handle multiple non-teaching tasks like grading exams, preparing assignments, study materials, essay writing, attendance handling, parent meeting, and many more.

Now, AI educational apps can handle these tasks efficiently. The AI-enabled applications for the education industry offer excellent performance faster. It saves a lot of time for educators and improves their productivity. This smart process would help educators spend much of their time clarifying student’s doubts and all.

The best example of AI in education is AI-powered education systems. They help higher education institutions in improving the quality of the admissions process. With the use of ML in education, educators manage admissions easier and faster.

Thought of incorporating AI apps for your education systems. We make your ideas come into reality.

#4 Smart Open Content

It is one of the top benefits of using AI in educational apps. Big textbooks are almost nowhere in this modern learning system. With the introduction of digital content, the demand for smart textbooks is gradually increasing. AI-powered Smart content delivery apps help learners get paperless materials and more in-depth knowledge of the subject.

Hence, the availability of digital content is altering the processes of accessing educational information and improving the learning experiences.

#5 Feedback and Scoring System

The education industries are reaping the benefits of AI and ML technologies. Advanced feedback management and scoring systems are two of the new inventions of AI. They will assist students and professionals in improving their writing skills. Grammarly is the best example of AI and ML-based apps for improving writing skills.

#6 Smart Test Preparation Applications

It is one of the advantages of AI educational apps. AI is helping developers to make innovations in the education industry. The technology is used to develop mobile and web-based study and test preparation applications such as Quizlet and Toppr app.

Want to develop the best AI-powered e-learning app? Get in Touch with USM Business Systems!

#7 Smarter Scheduling Tools

Artificial Intelligence in education is used to develop smart school scheduling tools for scheduling individual student timetables. Such automatic session scheduling applications will save time and improve productivity.

#8 Improving Assessment

The key role of AI in educational app development is to analyze the student’s learning progress and offer customized assessment for improving their progress. Using ML and AI-based assessment generation solutions, educational institutions can faster grading, adaptive testing, and performance monitoring of students quickly with more accuracy.

#9 Content Recommendations

It is one of the most common use cases of AI in educational app development. Integration of personalized intelligent learning algorithms helps top mobile app development companies in USA build best-in-class educational apps with outstanding features. Analyzing students’ progress and offering personalized content is one of the best features of AI educational apps.

#10 Smart building management software

AI-based smart building management software helps education institutions to maintain smart infrastructure, sensor lighting systems, and security.

How Can AI Educational Apps Help Students?

The role of artificial intelligence in education is a hot topic now. AI-based educational apps for Android and iOS are not only making teaching ways smooth, but also offering incredible benefits to the students or learners.

Till yet we have discussed, AI makes admin tasks simple and faster. Likewise, AI also makes students learn in a simple and friendly way. Here is the list of top benefits of AI for students.

#1. More access to each session

It is one of the top benefits of AI educational apps for students. AI-driven education helps students get more personalized tutoring using AI mobile apps for education. With the help of AI apps, students can stay away from crowded classrooms.

For students who feel embarrassed to ask questions during a lecture, AI apps fill this gap. Students can raise their doubts and give feedback to lectures through digitized AI apps.

 #2. Individualized programs

The best AI educational apps for Students offers customized learning ways for individuals and enhance their learning experiences. Like educational academies and instructors, students can benefit from the personalized individualized sessions. Based on education-level and maturity, AI gives ideal opportunities for students to learn new things on their choice.

#3. Quick Learning and Easy To Understand 

It is one of the top benefits of AI based educational apps developed for students. Low-to-medium-grade students would find it tough to read study material with high-level content. Few students might not get the exact meaning of complex sentences. Artificial intelligence apps in education help simple to read and understand content for students and make their learning easier.

#4. Best Interaction with Instructors

The use of Artificial intelligence in education helps mobile app development agencies to create apps that ensure outstanding collaboration between teachers/instructors and students/learners. AI education apps for Android or iOS helps students interact with instructor online and share their queries or feedback online seamlessly.

Besides, AI in education would also help students give feedback related to learning issues to educators. Thus, AI apps builds the best interface between educators and students.

Now, let’s take look at how AI app development companies are making eLearning solutions more efficient and robust using the next-generation AI technologies.

What Companies Are Using AI For Education?

Here is the list of the top 5 AI companies that are using AI technology to take the education industry to new heights.

  1. Nuance

Location: Massachusetts, United States

How is Nuance utilizing AI in Education Sector?

It is a top AI app development agency in USA. The company has developed AI-based speech recognition software for education industry. It is one of the best examples of AI in education. The intelligent software can recognize user voice, interpret queries, and generate 160 words per minute. It is specially designed for students who are unable to write notes while lecturing. Besides, the tool is also helpful for the instructor to dictate their lectures without hassle.

Being a top AI app development company in the USA, USM can build the best and the most advanced AI applications that support recognizing users’ voice and writing notes accurately and faster. So, instructors or students can instantly record sessions and share tutorial videos on demand.

  1. Knewton

Location: New York

How does company utilized artificial intelligence in education?

Knewton is one of the top AI development companies in the USA. It is specialized in using AI to deliver intelligent solutions for higher education. It launched an AI program (ALTA) for higher education. This adaptive learning platform provides exact coursework for students. The AI software for education is also ideal for educators. It helps instructors to teach mathematics, chemistry, and other subjects based on educational level.

  1. Cognii

Location: Massachusetts, USA

How Cognii Utilized AI In Education?

Cognii is a top AI Software Development Company In California, USA. Being a leading Artificial Intelligence company for education and training industry, it has delivered the best virtual learning assistant for K-12 and higher educational institutions. This AI virtual assistant for education offers customized support for every student in learning. Cognii is one of the best AI companies in the USA.

With over decades of experience in using AI, USM has recognized as the best AI companies in the USA in developing state-of-the-art AI-solutions that ensure the best virtual learning platforms and allows students and instructors to collaborate online at any time.

  4. Querium

Location: Austin, Texas

How it is utilizing artificial intelligence for the education industry?

Querium is one of the best AI companies in Texas, USA. The company uses AI to provide customizable STEM lessons for college students. Querium’s AI provides insights into the learning capabilities of students. Thus, instructors can easily enhance the skills in which a student has more interest in learning.

USM has a proven experience in the design and development of Querium’s like an AI-powered performance tracking app. Being the largest AI education apps development company in the USA, we focus on creating the best educational apps for Android and iOS.

Our AI mobility solution for education lets parents track their child’s performance reports.

 5. Century Tech

Location: London, England

How is it implementing AI in education applications?

Century is one of the best AI companies in England. Its data analytics solution reduces the workloads of instructors. It digitally tracks student performance and gives personalized recommendations. This smart software for education also sends feedback to students on their performance.

These are the best AI companies that work on changing the education sector in the near term future.

Finally, we will have a short discussion on the scope of AI in education in the next two years.

The Scope Of AI In Education

The future of learning is almost expected to switch to AI. Automation, intelligence, and predictive capabilities of AI technology are attracting the industrial players to invest and create a competitive business landscape.

As we discussed in this article, the scope of AI in education is massive. There is no doubt that artificial intelligence in education industry will become a significant asset for transforming teaching and learning experiences and taking the systems to completely new heights.

The global education industry is expected to reach $3.68 billion by 2023, with a growth rate of over 48%. Of which, AI-powered mobility solutions like AI-based virtual assistants, decision-making applications, intelligent tutoring apps, assessment preparation applications, admin tasks management software solutions, smart content generation tools, and risk management solutions will drive much growth in the future. These top AI trends in education are expected to drive rapid growth in the education industry.

Hence, using AI, ML, deep learning, and speech recognition-like technologies, top mobile app development companies are enhancing the teaching and learning experience. Adoption of Artificial intelligence in education apps plays a significant role in creating fully intelligent and advanced knowledge delivery or sharing platforms.

Conclusion

Thanks to AI-based eLearning systems. Artificial intelligence education offers students a facility to learn from anywhere at any time. It means a student might miss a classroom session if he or she was late. But, using AI-based educational apps, learners can record and playback the session and grab the knowledge. So, students can learn at the convenience of home. On the other side, educational and training institutes can also gain many benefits from AI-powered applications.

If you are an educational institution, invest in AI-based educational apps and keep your services available to learners all the time.

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USM’s AI-powered education apps and services help educators provide quality education to learners and build brand image in the field.

Brain-inspired AI breakthrough: Making computers see more like humans

By in News, robotics, Robotics Classification, robots, robots in business, Robots Podcast Tag
Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the accuracy and efficiency of image recognition systems while reducing the computational burden of existing AI models.

AI tool grounded in evidence-based medicine outperformed other AI tools — and most doctors- on USMLE exams

By in News, robotics, Robotics Classification, robots, robots in business, Robots Podcast Tag
A powerful clinical artificial intelligence tool developed by biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step exams), according to a new article.

Electronic skin with unique fingerprint patterns offers enhanced security features

By in News, robotics, Robotics Classification, robots, robots in business, Robots Podcast Tag
The likelihood of two human fingerprints being identical is extremely low—about 1 in 640 billion. Even identical twins, despite sharing the same genetic information, have unique fingerprints. A new technology now allows us to engrave these unique fingerprint patterns onto electronic skin, with the probability of matching an artificial fingerprint being 10²³² times lower than that of human fingerprints.

AI-Driven Personalized Product Recommendation: Use Cases and Benefits

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AI-Driven Personalized Product Recommendation: Use Cases and Benefits

In this competitive digital age, personalized product recommendations are necessary to enhance customer experience and propel sales. The more choices the customer has, the more the demand for products will increase.

Such is the power of AI-driven apps that recommend personalized products; these apps use machine learning for the analysis of a user’s buying behavior to recommend some personalized products. Herein, we have discussed a few top use cases and benefits of AI-powered product recommendations, along with the advantages of AI app development for industries.

What Are AI-Driven Recommendations?

It’s basically a recommendation app that is powered by AI and supports complex algorithms to scan through massive data sets in order to look for patterns in suggesting what to buy. Such a system can also include past purchases, browsing history, demographic information, and even social media activities. By knowing the preferences, AI apps are thus able to draw insights that help businesses in making a more engaging shopping experience and higher customer satisfaction and loyalty.

Moreover, AI-based recommendation apps involve machine learning techniques. As apps continue to train on new data, it tends to be more precise and relevant with time. Such ML algorithms can distinguish user interaction and know which products tend to convert more, hence adjust their recommendations based on the preferences of users.

How Do AI Recommendations Apps Work?

AI-powered product recommendation apps basically operate under two core functionalities: collaborative filtering and content-based filtering, as below. 

  • Collaborative Filtering: This relies strictly on data about the ways users are interacting. Based on user interactions in purchasing products, the AI systems predict and recommend related products, which may increase conversions and sales.
  • Content-Based Filtering: This works on the attributes of the product. If a customer always bought science fiction novels, it would suggest other books that fall in the same genre, are written by the same author, or carry similar keywords from the customer’s previous purchase.

Benefits of AI-Driven Recommendation App

Top Use Cases of AI-Driven Personalized Recommendation Apps!

Customizable AI-driven recommendation apps provide various advantages to businesses across various industries. Some are the following:

  • E-commerce

The industry is witnessing a huge increase in conversion rates from personalized recommendations. E-commerce brands, such as Amazon, use modern AI-powered apps to provide personalized product recommendations according to that user’s history of both browsing and purchases.

  • Streaming Services

Using AI-based recommendation applications, the leading streaming services, such as Netflix and Spotify, are better engaging their users. They suggest movies, shows, or songs based on a user’s taste, governed by the user’s viewing habits, user ratings, search behavior, and even the time of day when content is consumed.

  • Travel and Hospitality

In the tourism industry, AI recommendation apps can be very helpful in personalizing recommendations to travelers. The companies can suggest appropriate destinations for users based on their travel behavior and preferences. Airbnb is contributing to more bookings as they use AI-powered recommendation applications.

  • Fashion Retail

This would enable fashion retailers to use AI for personal styling advice. Analyzing a user’s previous purchases, preferences, and even social media activities, such retailers can suggest outfits or accessories matched to the unique style of the user, thus leading to higher customer satisfaction and sales.

  • B2B Services

In the B2B sector, AI-driven recommendation can help identify potential suppliers or partners by following their history of procurement behaviors and understanding industry trends. This method will streamline the procurement processes and create value in business relationships.

Best Benefits of AI-Driven Recommendation Applications!

AI-driven product recommendation apps offer various benefits to businesses, such as the following:

  • Enhanced Customer Experience

There are many reasons to believe that personalized recommendations will create a better shopping experience in terms of easing search, making it easier to identify and locate products based on customers’ preferences. Therefore, AI apps will save valuable customer time and make an experience smoother in the long run.

  • Increased Sales and Conversion Rates

Studies suggest that individualized suggestions will have a positive impact on sales. Researchers have argued that 30% of e-commerce revenues depend on product recommendations. Showing customers products they are more likely to purchase might enhance the conversion rate, thereby allowing for easier revenue growth.

  • Improved Customer Retention

A personalized experience drives customer loyalty. The moment the customer feels valued and understood is the moment they will be sure to return to the brand. AI-driven recommendation apps add to this as they will give customers suggestions that are relevant, thus growing the overall relationship between the customer and the brand.

  • Better Inventory Management

Recommendations generated by AI software solutions can also be useful in inventory management. Based on the purchasing patterns and forecasting future requirements, businesses can maintain just the right stock levels without excess inventory. This means that waste is minimized and popular items are always in stock.  

  • Insights into Customer Behaviours

Implementation of AI-driven recommendation systems gives a company insight about its customers’ behavior. A business can, by knowing trends and preferences via user interactions, guide its marketing strategies and the production of its products.

 

AI App Development for Personalized Recommendations

For the best possible benefits of AI-driven personalized recommendations, businesses need to pay attention to the following considerations in the AI app development process:

  • Data Collection and Management.

A recommendation app works only based on the quality and quantity of data. A business must make sure to collect relevant information from the users by considering privacy laws. This collected data requires an appropriate management system for storage, processing, and analysis. 

  • Choosing the Right Algorithms.

This is the point where the correct choice of algorithms makes the recommendation application work. Business has to first understand their needs and opt for either collaborative filtering, content-based filtering, or a hybrid that includes both.

  • Continuous Learning and Adaptation.

Any successful AI-driven recommendation system must make continuous learning of user interactions. Over time, if a machine learning technique lets the system adapt, there will always be relevance in its recommendations and accuracy too. 

  • User Interface Design.

The user interface is an important part of the effectiveness of personalized recommendations. A good UI should seamlessly integrate recommendations into the user experience without overwhelming the customer. Clear, intuitive layouts can enhance user engagement and satisfaction.

  • Testing and Optimization.

Ongoing testing and optimization are necessary to refine the recommendation algorithms. Testing can provide insights into which recommendations drive engagement and conversions, allowing businesses to make data-driven adjustments.

 

Conclusion

AI-driven personalized product recommendation apps can significantly enhance customer experiences and drive business growth. By leveraging machine learning algorithms to analyze user behavior and preferences, companies can deliver tailored suggestions that meet the unique needs of each customer. Businesses can invest in AI app development for personalized recommendations to achieve benefits like increased sales and improved customer retention.

Partner with USM Business Systems and develop an advanced AI recommendation app that helps generate more value towards customer experiences and personalization.

 

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For Writers, ChatGPT-4o Still the Best AI Engine

By in News, robotics, Robotics Classification, robots, robots in business, Robots Podcast Tag

Despite a flurry of new AI engines just released by OpenAI, the current default engine for the chatbot – ChatGPT-4o – is still the best, overall solution for writing.

That said, users may want to give the new OpenAI-o3 model a run if they’re looking for better reasoning and overall better performance when engaging in math, coding, science and other hard sciences.

Ditto for OpenAI-o4-mini and OpenAI-o4 mini-high. Both are designed to be less expensive to run than OpenAI-o3, but are touted as nearly as good as Open-AI-o3.

Plus, there is also a separate set of new AI engines – dubbed the GPT-4.1 family – also specially designed for help with computer coding.

Last, but not least, there’s also a GPT-4.5, which is sometimes better for writing than ChatGPT-4o.

But the AI engine is generally only available for limited use.

In other news and analysis on AI writing:

*ChatGPT Beats TikTok and Instagram in Downloads: In another popularity wars head-turner, ChatGPT became the most downloaded non-gaming app in March – beating-out TikTok and Instagram.

Observes writer Sarah Perez: “This is the first time the app has topped the monthly download charts and ChatGPT’s biggest month ever.

”According to new data, ChatGPT’s installs jumped 28% from February to March to reach 46 million new downloads during March.”

*The Shift: With AI Search Decimating Trips to Web Sites, Publishers Need to ‘Own’ Their Audiences: Given that Google’s AI Overview search service has reduced click-throughs to content sites by 54.6%, publishers need to develop readership not dependent on search, according to writer Lester Mapp.

The problem: The summaries provided by AI Overview are so good, the majority of people never bother clicking through to the info sources – media outlets, blogs, newsletters, etc. – feeding those summaries.

The solution: Publishers need to spend more time building their own audiences via newsletter and interaction on social media.

*New WordPress Add-On Automates Content Personalization: Writers working with WordPress can now use new AI to reconfigure a visitor’s reading journey based on individual interest.

Dubbed CHRS Interactive, the new suite of AI tools also helps automate Web site tasks and easily surface actionable insights.

Overall, the service is designed so that the AI interacts seamlessly with the writer’s/publisher’s existing WordPress Web site.

*Microsoft CoPilot Can Now Surf the Web With You: New AI added to CoPilot – and a key competitor to ChatGPT – now allows the app to surf the Web with you and ‘see what you see.’

The new capability is designed to help users interpret what they’re reading and seeing on their screens as they surf the Web – as well as help them use the Web apps they encounter.

The new AI feature also works offline for you – seeing what you see on your screen and helping you understand and work with what’s there.

*Google Docs Now Reads Your Writing Aloud: Take any college course in writing, and you’ll get the recommendation that reading your writing aloud is a great way to reveal what’s good and lacking in your authorship.

Fortunately, you can now have Google Docs read your writing aloud to get the same feedback – thanks to new AI Google added to the app.

Observes writer Jose Enrico: “This AI integration acts as a virtual writing assistant, providing you with a second pair of “ears” to pick up errors and hone clarity. It is especially useful for longer pieces where fatigue may blur objectivity.”

*ChatGPT-Competitor Claude Adds Independent Research: In the seemingly never-ending one-upmanship in AI research, Claude has added a new feature that enables the AI chatbot to do unsupervised research for you.

Observes writer Michael Nunez: “The new research capability enables Claude to independently conduct multiple searches that build upon each other while determining what to investigate next.

”Simultaneously, the Google Workspace integration connects Claude to users’ emails, calendars, and documents — eliminating the need for manual uploads.”

*Top Ten AI SEO Tools for Writers: Writer Osamu Ekhator offers an extremely in-depth look at the best SEO Tools for writers in this piece.

Some of Ekhator’s key takeaways:

~Some of the top AI SEO tools in 2025 include Writesonic, Surfer, and Jasper AI.

~Free AI-powered SEO tools like ChatGPT offer keyword suggestions and content ideas at no cost.

~YouTube SEO tools such as TubeBuddy and VidIQ help optimize video content for better discoverability.

*AI In Education: Using AI to Develop Critical Thinking: In a maverick move, a professor at the University of Nebraska Omaha is using AI to teach college students how to think critically.

Her approach: Students used ChatGPT to brainstorm research questions – then refined the AI’s responses into clearer, more usable questions when appropriate.

Plus, the students also used ChatGPT to develop an overall outline for a paper, which was again refined and sharpened as needed by the students.

Observes Martian Saltamacchia, PhD, the professor who came up with the novel approach: “My students have become more engaged in discussions about historical methodology, authorship, and the ethics of AI in scholarship.

“Many of them now feel more confident in their ability to use AI strategically while recognizing its limitations.

“More significantly, they have developed a deeper awareness of intellectual processes, understanding not just what they are doing in research and writing, but why these steps matter.”

*AI Big Picture: Marketing Campaigns Completely Automated by AI: Just a Matter of Time?: The days when entire marketing campaigns will be completely handled by AI may be soon upon us, according to writer Patrick Coffee.

Consumer health products company Opella “operates an AI ‘factory’ that produces advance care planning materials for medical professionals alongside the hundreds of Web pages, images and Instagram posts that it generates every day,” according to Coffee.

And marketing and tech services firm Monks recently released a minute-long video prototype for Puma that was fully AI-generated, according to Coffee.

The prediction of the fully automated marketing campaign makes sense.

Last year, the BBC released a bone-chilling example of how a 60+ marketing team was reduced to one editor after the introduction of AI.

Share a Link:  Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.

–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.

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