

James Kobielus
Contributor
James Kobielus is principal analyst at Franconia Research.

7 predictions for cloud computing in 2021
Public cloud vendors will cement their dominance, but enterprises will look to hybrid clouds, PaaS, open-partner ecosystems, and augmented reality.

Reconciling political beliefs with career ambitions
Data professionals face personal dilemmas as AI contributes to ethical issues such as reduced privacy, algorithmic bias, and advanced military weapons.

Anti-adversarial machine learning defenses start to take root
Adversarial attacks are one of the greatest threats to the integrity of the emerging AI-centric economy.

Nvidia pushes into a wider application ecosystem
The BlueField DPU architecture and DOCA SDK provide a strategic platform for expanding the company's reach.

Looking into the post-2020 future of Big Tech
A strong showing during the pandemic leaves Apple, Amazon, Facebook, Google, and Microsoft poised for continued growth and increased regulatory scrutiny.

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

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