While at SAP TechEd in October, I talked with people about artificial intelligence and other leading technologies. One conversation took me out of my core zone and into how the company is looking at blockchain and other ways of providing distributed ledgers. My latest Search Data Management article discusses what I learned.
ThoughSpot is an analytics company and they made a number of announcements at their conference this week. One that caught my eye was about SearchIQ, a new product for natural language processing (NLP). It layers text and voice query on top of their platform. Read more in my latest article on forbes.com.
After annoying delays, my latest Tech Target article is up. It covers two companies I met at this summer’s Think Big Festival in Couer d’Alene. Wilkinson Baking Company builds a robotic bread maker that fits in grocery stores and Misty Robotics provides a robot and software environment to help teach robotics and build applications.
A couple of new articles over on the article page.
The first it almost a counter argument to the data problem I’ve previously discussed. It’s not enough to have good data if people can’t trust the algorithm.
Then, at SAP TechEd 2018, Bernd, Leukert’s keynote speech had one key element that showed me that the company was finally internalizing the ecosystem focus needed to thrive in the cloud versus the on-premises model they’ve used for decades.
I’ve published another article in my Management AI series that’s a subset of my forbes.com column. This one is a high level introduction to natural language processing (NLP) and natural language generation (NLG).
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.