James Kobielus

Contributor

James Kobielus is research director and lead analyst at Futurum Research.

Quantum AI is still years from enterprise prime time

How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’

How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’

Only a common public health infrastructure of AI, cloud computing, streaming, and the Internet of Things can marshal our data against pandemics

GPipe and PipeDream: Scaling AI training in every direction

GPipe and PipeDream: Scaling AI training in every direction

New frameworks Google GPipe and Microsoft PipeDream join Uber Horovod in distributed training for deep learning

Coding together apart: Software development after COVID-19

Coding together apart: Software development after COVID-19

Distance collaboration may become standard practice, aided by group collaboration tools

TensorFlow deepens its advantages in the AI modeling wars

TensorFlow deepens its advantages in the AI modeling wars

Despite complaints about its complexity, TensorFlow supports every AI development, training, and deployment scenario you can imagine

AI companies plant the seeds for quantum machine learning

AI companies plant the seeds for quantum machine learning

Quantum computing promises to accelerate analytics faster than the speed of light, but it still feels slightly unreal, in spite of the first signs of broad commercialization

Boosting AI’s smarts in the absence of training data

Boosting AI’s smarts in the absence of training data

Zero-shot learning repurposes knowledge through statistical or semantic approaches without needing huge amounts of fresh training data

Keeping your enterprise AI expertise up to speed

Keeping your enterprise AI expertise up to speed

AI is such a significant force, you can’t afford not to stay on top of the ever-changing developments

Making AI’s arcane neural networks accessible

Making AI’s arcane neural networks accessible

Data scientists remain in hot demand, but they will give up more of their core functions this year and beyond to automated tools

Mitigating the risks of the AI black box

Mitigating the risks of the AI black box

If we don’t understand how machine learning works, how can we trust it? Increasing model transparency creates risks as well as rewards

Artificial intelligence predictions for 2020

Artificial intelligence predictions for 2020

Big changes in machine learning applications, tools, techniques, platforms, and standards are on the horizon

Boutique clouds rise on multicloud and microservices

Boutique clouds rise on multicloud and microservices

Hoping to avoid cloud vendor lock-in, enterprises are moving workloads to niche providers

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