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

Can graph databases fulfill the hype? We won’t know for sure until AWS’ Neptune arrives

Graph technology has been the next big thing in the enterprise database market for longer than I can remember. It certainly doesn’t lack for dogged evangelists who tout graph as the silver bullet for practically every advanced computing application. So why hasn’t graph technology broken into the enterprise mainstream? Many major data platform vendors now offer graph-based solutions. But ...
ANALYSIS

How Hortonworks is weathering the big-data market’s shift away from Hadoop

More often than they like to admit, tech vendors must put on a brave face when they’re groping for a robust growth path. In the big-data arena, that go-to-market messaging approach is very much in evidence among the vendors who pioneered the commercialization of the Hadoop programming framework for storing and processing very large data ...
ANALYSIS

With recent announcements, Nvidia and Adobe put AI in the hands of creative professionals

Graphics processing units have an inherent advantage over other processing architectures for artificial intelligence. By combining circuitry that is optimized for high-performance interactive visualization with the logic for high-performance statistical processing, GPUs are powering the exciting new field of generative AI. Generative AI refers to tools that use AI to accelerate computer-aided simulation, modeling, design, engineering ...

Autonomous digital twins at the network’s edge: thoughts about SWIM.AI’s announcement

Autonomous intelligence is the future of all “internet of things” applications. To drive that intelligence, developers are pushing the architectural concept of “digital twins” into more and more edge devices. At heart, a digital twin drives the analytics that guide a physical entity’s ongoing adjustments to its environment. As the name implies, digital twins are ...
ANALYSIS

The AI compilation wars: Intel, Google, Microsoft, Nvidia, IBM and others arm for deep learning acceleration

Compilers are among the least sexy tools in any developer’s kitbag. You call on your compiler only when you’re ready to see how well your splendid new app will perform in the field. Data scientists are the primary developers in this new era of artificial intelligence-driven applications. Consequently, many may greet the news that Intel ...
COMMENTARY

Cloudera has trouble shifting toward a total focus on the cloud era

If a technology vendor is fortunate, it can define an era. If it’s less than fortunate, that era will continue to define the vendor to its disadvantage once the growth potential of its original go-to-market model has begun to wane. Cloudera Inc. has the ironic fortune to have named itself after an era it has only ...

With new Google investments, TensorFlow is now AI’s leading development framework

Developers of deep learning, machine learning and other artificial intelligence are increasingly adopting the TensorFlow framework. Though TensorFlow is not an official Apache project, it was open-sourced a few years ago by its developer, Google LLC, which continues to make deep investments in the framework. At last week’s TensorFlow Developer Summit in Mountain View, California, Google ...

‘Augmented programming’ will make developers more productive

For many years, software developers have used code generation tools to lighten the load. Some refer to these as “automatic programming” solutions, though you’d be hard-pressed to name any developer who has ever automated himself or herself out of a job. Another popular phrase for these tools is “low code” or even “no code.” However, those terms ...
PREDICTIONS 2018

Wikibon’s 2018 data analytics predictions: It’s all about AI

Digital business depends on organizations’ ability to turn more data into more useful work. The principal enablers in that regard are enterprise investments in advanced analytics, artificial intelligence, deep learning and machine learning. On Dec. 15, Wikibon held its annual webcast in which we predicted how the data analytics market, platforms, tools and practices are ...
ANALYSIS

Amazon sets the public cloud pace at AWS re:Invent 2017: a Wikibon deep dive

With Stu Miniman, David Floyer and George Gilbert Amazon Web Services Inc. continues to dominate the public cloud market. At its sixth annual re:Invent conference this past week in Las Vegas, AWS discussed how it differentiates through deepening investments in its core infrastructure-as-a-service and cloud database offerings. Going forward, the company made it clear that it intends ...