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

ANALYSIS

At Tableau Conference, AI drives the business intelligence experience but Salesforce integration remains AWOL

Business intelligence has evolved far from its traditional focus on historical analytics and batch operational reporting. The latest generation of BI products are focused on self-service predictive capabilities to enable business users to do many things that once required either a BI specialist or a highly skilled data scientist. In addition, most BI solutions now ...
ANALYSIS

At Ignite, Microsoft convincingly addresses the multicloud imperative

Microsoft Corp. has fresh momentum in the cloud wars. For starters, Microsoft was recently awarded the U.S. Department of Defense’s Joint Enterprise Defense Infrastructure or JEDI contract. For another, the company has just announced a broad range of enhancements to its Azure cloud portfolio that will almost certainly help to win it new business in ...
ANALYSIS

At Evolve, ASG debuts low-code tooling for digital process automation

“Low code” is a catch-all for every visual, model-driven development tool now on the market. As a result, the phrase has outlived its usefulness as a market segmentation label. Doing ‘low code’ agile process automation When a company touts its development tool with this phrase — or the equivalent “no code” — it’s usually unclear ...
ANALYSIS

As Hadoop wanes, Cloudera aims to accelerate multicloud data science pipelines

Big-data pioneer Cloudera Inc. has made a successful transition to the post-Hadoop era. As was evident in its announcements today, the company has evolved its solution portfolio and customer adoption well beyond that open-source big-data platform — which, though still very much a key platform component, was barely mentioned at its annual analyst summit this week in New ...
ANALYSIS

At OpenWorld, Oracle struggles to move the cloud needle its way

The cloud wars continue to intensify, and Oracle Corp. is definitely not retrenching. As illustrated by its primary announcements this week at its OpenWorld 2019 conference in San Francisco, the company has doubled down on the same strategies that drove the chief announcements at last year’s event. That may not be enough to pick up Oracle’s fortunes ...
ANALYSIS

Surprise: Next-generation virtual machines will help power multicloud computing

Hypervisor technology has been one of the building blocks of cloud computing from the start. In recent years, though, this method of “virtualization” to separate a computer’s operating system and applications from the underlying hardware has begun to feel more like a legacy approach than a platform for developing tomorrow’s sophisticated cloud applications — containerized, serverless and ...
ANALYSIS

At VMworld, VMware bets big on convergence of virtual machines and containers

VMware Inc. made a wide range of announcements this week that advance its competitive positioning in multicloud computing. One of those announcements stands out as a classic “bet the business” gambit: the “Project Pacific” core of the company’s forthcoming Tanzu Portfolio. Launched in the Day One keynote at VMworld 2019 in San Francisco, “Project Pacific” will ...
ANALYSIS

Company profile: H20.ai sprinkles in new risk mitigation features

Artificial intelligence has become the intelligent nerve center of most cloud applications. However, AI has also become a major risk factor in many modern enterprises. AI’s risks may stem from design limitations in a specific buildout of the technology, such as when a machine learning model incorporates a biased feature set.  Other risks may be due to inadequate lifecycle ...
ANALYSIS

VMware’s ‘Switzerland’ cloud partnership strategy will be a key focus at upcoming VMworld

Public cloud rivalries have spawned a surprising early favorite, and it’s none of the usual suspects — Amazon Web Services Inc., Microsoft Corp.’s Azure or Google LLC’s Cloud Platform — nor is it a hot startup. Rather, VMware Inc., the 20-year-old virtualization pioneer, has become the go-to partner in the hybrid-cloud market. In the race ...
ANALYSIS

Hybrid cloud computing hits an inflection point

The promise of a true private cloud is that it should not matter where you place your most demanding workloads. True private clouds are those in which performance is consistently fast and efficient, regardless of whether an enterprise’s workloads run on-premised or in public clouds. Whether you move those workloads into one or more public ...