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.
And, of course, as soon as I post an article that mentions acquisitions, there’s a question of another one. Therefore: Intel Acquires Artificial Intelligence Chip Maker Habana for $2 Billion
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.
In a move joining the children of two famous early tech companies, Hewlett Packard Enterprise (HPE) announced they are going to acquire Cray Inc. It’s a smart move, but it brings a bit of nostalgia to my emotions. Read my latest Forbes.com article.
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
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.