James Kobielus

Contributor

James Kobielus is principal analyst at Franconia Research.

Microsoft’s innovative new tools for the ‘new normal’

Microsoft’s innovative new tools for the ‘new normal’

Support for social distancing, remote collaboration, immersive reality, and biosensing are top announcements at Ignite 2020

How Nvidia’s Arm acquisition will drive AI to every edge

How Nvidia’s Arm acquisition will drive AI to every edge

Filling a gap in their offerings, Nvidia hopes to gain money and market share with Arm's extensive reach

Using robotics and immersive technologies to support work-from-home employees

Using robotics and immersive technologies to support work-from-home employees

The COVID-19 crisis has accelerated the long-term shift toward remote working as a standard business practice

Big tech faces intense political pressure in an election year

Big tech faces intense political pressure in an election year

The sound and fury of recent congressional hearings are unlikely to result in regulatory action

Is the carbon footprint of AI too big?

Is the carbon footprint of AI too big?

Artificial intelligence obviously requires electricity and computers to work its practical magic. But don’t ignore the downstream environmental benefits

The sweet spot for robotic process automation in the COVID-19 response

The sweet spot for robotic process automation in the COVID-19 response

RPA can smooth some of the bumps of working from home, but don’t expect it to solve everything

Social engineering hacks weaken cybersecurity during the pandemic

Social engineering hacks weaken cybersecurity during the pandemic

Disinformation, malware, and an array of cyberattacks are rising as fast as case counts

Which tech companies will survive the pandemic-triggered recession?

Which tech companies will survive the pandemic-triggered recession?

Bouncing back from a COVID-19 downturn depends on how well a company weathers the structural and frictional challenges. Hint: You'll need disruption and a healthy supply of cash

Quantum AI is still years from enterprise prime time

Quantum AI is still years from enterprise prime time

Quantum computing’s greatest potential for widespread adoption during this decade is in artificial intelligence

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

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

Machine learning applications, tools, techniques, platforms, and standards will see big changes in the next year

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