James Kobielus

James Kobielus is @theCUBE and Wikibon lead analyst for AI, data, data science, deep learning and application development. Previously, Jim was IBM Corp.'s data science evangelist. He managed IBM's thought leadership, social and influencer marketing programs targeted at developers of big data analytics, machine learning and cognitive computing applications. Prior to his five-year stint at IBM, Jim was an analyst at Forrester Research, Current Analysis and the Burton Group. He is also a prolific blogger, a popular speaker and a familiar face from his many appearances as an expert on theCUBE and at industry events.

Latest from James Kobielus

SPECIAL REPORT: THE CLOUD COMES OF AGE

Deeper into cloud data: AWS launches a blitz of innovative AI offerings at re:Invent

Amazon Web Services Inc. made artificial intelligence far and away the dominant theme of its announcements on Wednesday, the second day of re:Invent 2018. As presented in detail in AWS Chief Executive Andy Jassy’s keynotes, the latest announcements fell into the following categories: Driving innovative AI into every cloud application; Building and optimizing diverse data ...
SPECIAL REPORT: THE CLOUD COMES OF AGE

All around the cloud: Here’s everything AWS has announced so far at re:Invent

Amazon Web Services Inc. continues to invest deeply in its widely adopted public cloud solution portfolio. On the first day of its annual re:Invent conference, it has launched a wide range of new and enhanced services to help its customers boost the performance, efficiency, scalability, security and manageability of its elastic cloud-computing services. At the same time, ...
SPECIAL REPORT: THE CLOUD COMES OF AGE

On the cusp of AWS re:Invent, the public cloud continues to transform the public sector

Amazon Web Services Inc. is deeply entrenched in the public sector. Over the past several years, it has invested deeply in supporting adoption of its public cloud services by noncommercial users around the world. As the seventh annual re:Invent conference approaches, AWS’s public sector group is deepening its engagements with clients in the following noncommercial sectors: Government ...
ANALYSIS

The unsettling persistence of cybersecurity vulnerabilities in the cloud

Clouds are full of cybersecurity vulnerabilities. If you’re trusting your data, applications and other business assets to any of the public cloud providers, you want them to provide strong assurance that all of that intellectual property is safe and that hackers won’t exploit them to crash your operations or bankrupt your business. How secure are ...
NEWS ANALYSIS

AI drives innovation in next-generation cloud business intelligence

Predictions are becoming cheaper, faster, more automated and more ubiquitous in our lives, and we have artificial intelligence to thank for that. AI is essentially a predictive technology. No matter what its algorithmic underpinnings, its core function is to make sophisticated inferences about what’s likely to happen based on myriad variables that have been distilled ...
SPECIAL REPORT: THE CLOUD COMES OF AGE

Oracle confronts a growing challenge from AWS in the cloud

Oracle Corp.’s future is on the line, but its co-founder, Chairman and Chief Technology Officer Larry Ellison seems to be denying the obvious. What’s obvious is that Oracle is losing the cloud wars. What’s less obvious is that it’s in dire danger of losing its grip on the enterprise database market, which is, of course, ...
COMMENTARY

We must erect guardrails to protect against AI’s many risks to society

Artificial intelligence is rife with risks. Some of these may stem from design limitations in a specific buildout of the technology. Others may be the result of inadequate runtime governance over live AI apps. Still others may be intrinsic to the technology’s inscrutable “black box” complexity. Wikibon refers to this overarching societal concern as “AI risk management.” Generally, ...
SPECIAL REPORT: THE CLOUD COMES OF AGE

As AWS re:Invent approaches, AI becomes the killer app for public cloud

Amazon Web Services Inc. has become a powerhouse provider of cloud-based tools for enterprises to develop and deploy sophisticated artificial intelligence applications. As we look ahead to the seventh annual re:Invent conference late this month, AWS continues to impress with its deep investments in building a sophisticated AI ecosystem: Optimization of core infrastructure-as-a-service cloud for AI workloads: ...
ANALYSIS

Doing a reality check on GPU-accelerated databases

The graphics processing unit-accelerated database market has established itself as a substantial startup niche. However, it’s not clear if or when GPU-accelerated databases will ever move into mainstream enterprise database management systems. Though GPUs have made some inroads in recent years into database architectures, it appears unlikely that they’ll break out of the application-specific coprocessor ...
ANALYSIS

Building the hybrid serverless multiclouds of the future

Developers frequently compose solutions as patterns that hybridize different approaches to developing, hosting and managing application resources. Any solution pattern may be hybridized, with the approach usually contingent on the developer having access to an abstraction layer designed to enable the complex application environment of interest. In cloud computing, we increasingly see hybridization in the ...