As an established business owner, entrepreneur or professional, you have heard many new terms for technologies and domains of study, such as data science, AI and machine learning. You might ask how data science vs ai compares and what their role in your business and life is. What is Artificial Intelligence (AI)? Which one is better for my business? In this post, we analyze data science vs AI, describing their fields of study, how they connect and what part each plays in helping you achieve the benefits of new tech.

Advances in Artificial Intelligence (AI) and computer processors have opened new ways for face recognition online services not possible before. Startups all over the world are developing Apps and products that make use of Face Recognition. Moreover, they are bringing products into the market with user authentication, attendance tracking and photo grouping (for event photographers) capabilities, to name a few. Face Recognition Online software components are challenging to develop in-house. For this reason, it makes sense for startups and software companies to buy this capability from specialized vendors.

Businesses and individuals are increasingly adopting facial recognition search technology. Online services like PimEyes face search have climbed to the top of Google results, a reflection of the interest around the subject. Although not without controversy, facial recognition search engines have many uses, from looking for stolen photos online to tracking unauthorized use of your pictures. Face recognition searches can help Lawyers, photographers, celebrities, recruiters and marketing agencies, among others. In this post, we will describe how you can upload pictures to PimEyes and search for images with similar faces on the internet.

The benefits of facial recognition technology and its cons are controversial issues. Many stakeholders are pointing out the pros, but there are also detractors voicing its disadvantages. There are many concerns around face recognition technology, such as invasion of privacy, abuse of power, what rogue elements within government agencies could do with it, and more. Already, the heated debate around facial recognition has caused some public relations backlashes. As a result, investors could stay clear of the technology, inhibiting its development.

Did you know that a wide range of businesses and professionals are using facial recognition search engines? Lawyers, photographers, bloggers, celebrities, models, recruiters and marketing agencies are just some of the people who are embracing this new technology. In this post, we showcase 8 facial recognition search engines you can use to find similar pictures and videos online. Online facial recognition search is only a subset of what a full-set solution might be able to accomplish. As technology advances, software vendors have begun offering Face Recognition Online APIs that you can easily integrate with your Apps and information systems.

Facial recognition technology is generating lots of excitement. Yet, it is also very controversial around issues like privacy, reliability, possible bias and lack of regulation. As a result, businesses must beware of the potential disadvantages of facial recognition. There is much criticism about the use of facial recognition technology. Thus, interest groups tend to be very opinionated about it.

Published in Towards Data Science. Mackay, A. What is Market Basket Analysis, and How Do Retailers Benefit from it? Guest post published in the Microsoft Partner Apps Blog.

Chatbots are becoming part of many aspects of business and life and there is an interest in making them more human-like. A natural language processing chatbot is capable of such interactions. Therefore, they have been the subject of significant research and development. With a natural language processing chatbot, users can write or even talk to the app, much like they would with another human. Without natural language processing (NLP), chatbots can only respond to conversations in a scripted way.

Big and small businesses are using free chatbot platforms to engage customers in new and superior ways. In the beginning, businesses used chatbots for customer support only. Since then, Chatbots have moved on to other areas and industries. Lately, there is much interest in using them in self-service applications. Chatbots are excellent to give your customers the capability of getting things done.

Imagine where you could take your business if you knew the next product a customer is going to buy or if a transaction is fraudulent. This is what Machine Learning (ML) promises. Machine Learning allows businesses to challenge the status quo, creating tremendous disruption. Already, many companies are using Machine Learning to create new business opportunities. Are you determined to bring Machine Learning into your organization?