• The Future of Retail

    Artificial Intelligence (AI) in retail situations is becoming more prevalent. Traditional retailers tend to look at it as somewhat inaccessible for them because of the nature of their business. Online retailing will get a tremendous benefit, but brick and mortar establishments won’t be left in the cold.
    Soon, the first-person encounter with a retail employee will evolve into interactions with AI smart terminals located throughout the store. They’ll possess cameras and be able to interact with a customer. It will be able to see when customers hold their hands about 18 inches apart and hear

  • The Future of Insurance

    Foretelling the Future

    Artificial Intelligence (AI) can use predictive analysis to identify specific areas of risk, as they apply to each client, a particular geographical location, vocation or avocation, thus making insurance more relevant. That ability allows insurers to offer products that make sense to cover those risks while providing more appropriate pricing.
    The problem for the immediate future is learning how to retain new, younger customers; they are the most challenging market segment to hang on to because they want convenience, agility, and personalization—things the industry hasn’t been known for in the past. They

  • The Future of Media Companies

    What comprises the “Media” nowadays? Newspapers have gotten much thinner if they are still publishing paper editions, as advertising revenues have dried up. Some have hunkered down, cut costs, and tried to carry on without much adaptation. Some deliver content online for free to customers, relying on traditional advertising wanting to access their customer base. Some have closed their doors after a century or more.
    Other organizations, be it radio, TV, or Internet personalities, have tightly refocused their content to their core users, raising prices and shedding a general audience in favor of a

  • The Future of Energy

    (Fourth in a Series)

    The coolest thing about Artificial Intelligence (AI) is that it can be layered on top of existing infrastructure. However, don’t picture it like putting a robot in front of a keyboard. That is most certainly not how it works. For one thing, it’s much more efficient than that!
    You’ve seen evidence of AIs “typing” when you interact with a ChatBot online. Some are so cleverly designed that you can’t tell if it’s a person or a program.
    Try the one at your local electrical utility to see if you can

  • Which ones should you attend in early 2018?

    All Data Science (DS) and Artificial Intelligence (AI) conferences are going to have something in common. An independent Maker, developer, researcher, or producer who wants attention for their innovative product is going to “make the rounds” so you’ll see a lot of the same companies (if not the same people) at these conferences, hawking their wares.

    When ACME–AI™, Plastic Pals Robots™, and Digital Prostate™ all want to make appearances at all the big conferences, you shouldn’t be too quick to

  • All Data Science (DS) and Artificial Intelligence (AI) conferences are going to have something in common. An independent Maker, developer, researcher, or producer who wants attention for their innovative product is going to “make the rounds” so you see a lot of the same companies (if not the same people) at these conferences, hawking their wares.

    When ACME–AI™, Plastic Pals Robots™, and Digital Prostate™ all want to make appearances at all the big conferences, you shouldn’t be too quick to dismiss them because you “saw them three months ago in Atlanta”… First, it gets the word out to people that

  • In a nutshell, here is the problem: There are approximately 200,000 Data Scientist graduates available each year, and there are almost half a million new job postings for data scientists each year. Do the math. This shortfall has companies poaching top people from one another, trying to fill all those empty chairs. Money is not much of an object to get the best people because no matter how much you pay them, they will generate much more. The base salary in this area is ~$120,000

    Did you miss it?

    If

  • Where should you look for Smart Machines?

    IBM, Google, Facebook, Apple, Microsoft? Who or what is driving the Artificial Intelligence (AI) field right now? Is it a company? Is it a field? Is it a technique? You’ll encounter terms like Bayesian Neural Nets, Robotics, Deep Reinforcement, and/or Transfer Learning. But what is truly important?

    IBM

    We all know that IBM created Deep Blue (the chess-playing computer that took one of two matches against reigning champion Garry Kasparov), and went on to create WATSON, the Jeopardy-playing computer that beat the world champion, Ken Jennings. But we also know that those selfsame

  • This post is about how to select an AI or machine learning vendor if you are planning to implement AI in your organization.

    Let’s see what AI, data science, machine learning and deep learning means.

    AI or artificial intelligence comprises of machine learning and deep learning. Deep learning is special form of machine learning and uses neural networks. The below diagram from KDnuggets explains this well.

     

    Every trade show you go or every vendor presentation you listen to, there is one thing you

  • AI usecases in Pharma

    (Fourth in a Series)

    The Domain of Gods

    Because of our constant exposure to Hollywood’s idea of so-called science, Artificial Intelligence (AI) is often portrayed in the framework of the Frankenstein Complex. This phenomenon was first described by renowned science and science fiction author Isaac Asimov.

    The Frankenstein Complex is predicated on the idea that the hubris of man is so great that he places himself in the role of the