Data discovery, as we defined it in the 1990s, has changed to take advantage of modern algorithms. It’s moved past basic data analysis and is better at finding relationships between different pieces of information. Discussed in detail in my forbes.com article.
My latest article in Search Data Management points out the importance of data quality in training machine learning systems.
My latest article on Forbes describes how different components of AI are beginning to work together to improve manufacturing.
A short overview of the subject on Forbes.
My Forbes article about how I think the interesting research is a step towards passing the Turing Test.
Here’s an article on Forbes about Tableau buying Empirical Systems.
I’m playing with alternating between the publishing page and blog entries and am not sure which I like better.
Which businesses really need a data scientist? https://bit.ly/2JInbhj
Almost a month after my last post, there is a change. Differences in focus and goals have resulted in me solely focusing on my own practice. I wish the people on the TIRIAS Research team the best of luck.
Since my last post, I’ve had a number of columns on Forbes. In addition, my brother, Paul Teich, and I have released a TIRIAS Research report on NVIDIA’s new framework for deep learning. As usual, you can link to all of them via my publications page.
My focus on business intelligence the last few years, my long term interest in artificial intelligence and the growth of machine learning came together to drive the content for my latest Forbes article.