James Kobielus

Contributor

James Kobielus is SiliconAngle Wikibon's lead analyst for AI, data science, and application development.

Boutique clouds rise on multicloud and microservices

Open source transparency comes to root of trust hardware

Open source transparency comes to root of trust hardware

Contrary to conventional wisdom, an open source approach like Google’s OpenTitan could ensure that roots of trust stay trustworthy

Handicapping the AI modeling horse race

Handicapping the AI modeling horse race

AI has become a core focus for application developers everywhere. It’s as hot in the consumer space as it is in business, industry, research, and government

Will data gravity favor the cloud or the edge?

Will data gravity favor the cloud or the edge?

An industry standard confidential computing framework could unlock secure data processing at both the center and the edge

The data lake is becoming the new data warehouse

The data lake is becoming the new data warehouse

Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation

Knative may be the serverless computing standard you need

Knative may be the serverless computing standard you need

The proliferation of serverless platforms has raised a very real specter of siloes and lockin for early adopters

Key enterprise cloud trends for 2019

Key enterprise cloud trends for 2019

As businesses modernize their computing and networking architectures, cloud-native architectures are the principal target environments

Reinforcement learning comes into AI’s mainstream

Reinforcement learning comes into AI’s mainstream

Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream

How the Turing GPU will revolutionize immersive AI

How the Turing GPU will revolutionize immersive AI

AI, machine learning, and image manipulation have a lot in common, so it’s no surprise that GPUs can do both, which will bring us amazingly immersive apps

How to solve AI’s reproducibility crisis

How to solve AI’s reproducibility crisis

Society will never fully trust artificial intelligence’s actions unless they can be shown to produce reasonably repeatable results in line with what their developers claim

Why gaming AI won’t help make AI work in the real world—but could

Why gaming AI won’t help make AI work in the real world—but could

The underlying game-theory principles could be applied to the real world, only if the test cases reflected the real world, not artificial fantasy environments

Powering AI: The explosion of new AI hardware accelerators

Powering AI: The explosion of new AI hardware accelerators

Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live

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