I haven’t been blogging much, as I’ve only been updating the links page. However, today’s forbes.com post
deserves a quick reference. I’m reading a book, for a potential review. As do most books on artificial intelligence (AI), this one has a brief “history” in an early chapter. The authors’ definition of machine learning says expert systems aren’t part of the category. That’s blatantly wrong and I had to rant. Hence that article.
You can get to the rant via the link above or on my published articles page. Enjoy.
A wide range of AI tools are being applied to the retail experience. Computer vision hold a central place in that it helps track real world movements in stores. My latest Tech Target article discusses this.
A bill was introduced this month in the Senate. It’s a start towards regulating machine learning algorithms in order to protect consumers and minimize bias. See my latest article on forbes.com
Last week I posted another Forbes article, this one focused on how artificial intelligence and machine learning can help companies in mobile marketing. The ad ecosystem is complex and there are a number of ways, from demographics to fraud protection, Where the advanced techniques can help. Check my articles page for a link.
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.
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.