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Tag: James Kobielus

Data Privacy Is on the Defensive During the Coronavirus Panic

Privacy is on the run in the race to save the world from the ravages of coronavirus. COVID-19 has given surveillance advocates the upper hand in any discussions of AI for the public good. The ongoing pandemic has provid Read more…

Giving DevOps Teeth To Crunch Down on AI Ethics Governance

AI ethics is definitely trending. I’ve seen the phrase in my reading and heard it trip from the tongues of professional acquaintances many times in the past several months. Management fads come and go, and I wonder Read more…

Let’s Accept That AI Leadership Is Everywhere

Artificial intelligence (AI) is the new space race, or at least that’s how it’s being perceived in the general population, and being presented by the movers and shakers of this world. That’s why it was no surpri Read more…

Predictions for Application Development in 2019

Application development has become a cloud-focused initiative in many enterprises. Consequently, the languages, tools, and platforms needed to support today’s development initiatives are rapidly evolving. Applicatio Read more…

The Pain of Watching AI Become A Pawn in the Geopolitical Fray

Artificial intelligence (AI) has been a predominantly transnational phenomenon for most of this decade. Radical cross-border openness has been a central driver of the AI revolution. One of the primary factors stimulat Read more…

Giving Machine Learning Freer Rein to Design Next-Generation Communications Protocols

Protocol engineering is an abstruse but essential art. So much depends on a well-tuned protocol. If engineers build inefficiencies into the conversational framework that computers use to interoperate, those issues afflic Read more…

Training Your AI With As Little Manually Labeled Data As Possible

Let’s imagine a future in which developers are creating and deploying artificial intelligence (AI) apps faster than people can consume them. Please ignore the minor issue of whether the developers in question can ma Read more…

Scrutinizing the Inscrutability of Deep Learning

Most people can’t make heads or tails out of most algorithms. By “most people,” I’m referring to anyone who didn’t literally develop the algorithm in question or doesn’t manage the rules, data, and other arti Read more…

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