It has been a while since I’ve updated that page, as I’ve been busy. Articles added include discussions of ecommerce, a book review, the insurance industry and my thoughts on a conference I attended (virtually, of course) last week.
On a tangent, I continue with a couple of customers, creating B2B content and messaging for my tech clients.
I’ve added links to my Forbes articles for last month. Two are on NVIDIA’s busy month, with the acquisition of Arm and the partnership with VMware. Others cover wider issues in AI. Enjoy.
My latest forbes.com article is about how companies such as Cape Privacy are working to help firms building AI systems to secure the data they are using, to help in compliance issues.
I’ve started what should be a four part series in my Management AI subset of Forbes articles. I’m using Lomit Patel’s “Lean AI” as a driving to describe the four main types of AI algorithms. See the link on my articles page.
Earlier this month, an article about GPUs being used for AI processing was published on Tech Target. In that article, I discuss how the structure of a GPU aids in the running of neural networks.
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.
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.