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 dismiss them because you “saw them three months ago in Atlanta”… First,
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 you have somehow remained oblivious to what has happened in
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 will find common which is some amount of machine learning or AI in the product or the