I’ve written two articles this month about government policy towards AI. The first is about “Turning Point”, a book by a couple of leads at the Brookings Institution, and a nifty webinar interview with the authors. The second is about a report and webinar driven by the Bipartisan Policy Center. The book was excellent, the report not so much. Even with different results, it is important to note that folks in the Beltway are beginning to speak out on the issue.
Links to three new articles are over on my articles page. They are about broadband (on LinkedIn) and then a couple of AI related articles on Forbes.com.
I don’t think I’ll be publishing on Forbes as often. They just took away pay from less frequent posters. We didn’t make much money anyway, but I certainly wouldn’t make enough to justify trying to publish the number of articles I’d have to in order to make any money in the new method. The benefits don’t justify the time spent or the drop in quality that pumping out that many articles would create.
If I was a journalist full time, that might make sense, but I earn my money through content writing and marketing consulting. I’ll keep writing for Forbes, it’s fun; but perhaps not as often.
I have a couple of new articles on forbes.com that I’ve posted this month. One is on software to help lawyers analyze a case based on similar cases and another discusses the fun that is AI recreating the closeness between hardware and software that was around decades ago. Hardware companies are very involved in providing software to help developers use complex chipsets. Check my articles page or my forbes.com profile.
Recent news about a Microsoft AI investment led me to my latest forbes.com column covering the idea that it’s not always innovators that win. Fast followers can do a good job.
Social media has a lot of data. That means that everyone from government agencies to businesses to parents have a hard time mitigating risks and increasing the rewards of involvement. In my latest forbes.com article, I talk about how AI can help.
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.
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 on Forbes describes how different components of AI are beginning to work together to improve manufacturing.