My annual (I’ve done it twice now, so that now fits) has been posted. I review some of the key stories I covered in 2018 and make some basic predictions for what will happen in the near-term future. Hint: Aritifical intelligence and machine learning are still early in the adoption lifecycle, but cloud technologies mean faster adoption curves than in the past.
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.
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).
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.
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
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.