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.
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.