James Kobielus

Contributor

James Kobielus is principal analyst at Franconia Research.

Is the carbon footprint of AI too big?

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

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