James Kobielus

James Kobielus is a big data evangelist at IBM and the editor in chief of IBM Data magazine. He is an industry veteran, a popular speaker, social media participant, and a thought leader in big data, Apache Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management, and next-best action technologies.

transformation-and-continuity

Transformation and Continuity

This week’s fresh content marks a significant transformation in IBM Data magazine, but clearly traces a line of continuity from where we’ve been to where we’re heading.

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turning-a-page
Business

Turning a Page

IBM Data magazine announces the next step in its evolution: Consolidation into the IBM Big Data & Analytics Hub

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disseminating-best-practices-for-analytics

Disseminating Best Practices for Analytics

Generating new knowledge is the easy part—sort of. The hard part is making sure that existing knowledge is disseminated to everyone who may conceivably benefit from it.

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world-scale-big-data-analytics

World-Scale Big Data Analytics

The world is a big place with many peoples, but we all live on the same planet and have the same basic needs.

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facilitating-flow

Facilitating Flow

Data needs to flow to be of any use. That flow needs to pervade the often complex infrastructures through which data is processed and delivered and mirror the rhythm of activities within which the data is being originated.

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how-to-game-the-turing-test
Technologies

How to Game the Turing Test

A Turing test may mimic human intelligence, but true intelligence is acquired through life experiences

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industrial-data-hammering

Industrialized Data Hammering

Industrial processes fascinate me, not just in their automation, speed, and efficiency, but also in their ability to give precise shape to an otherwise unruly raw material.

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inference-plubming

Inference Plumbing

Information flows through many channels as it rushes from myriad sources to the places where people apply it in real-world situations. Data’s diversity is a challenge that can best be met through implementation of the right tools for integration, capacity, and delivery of its precious payload of insight and guidance.

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distinguishing-datas-latency-from-its-actionability copy
Database and platform

Distinguishing Data’s Latency From Its Actionability

Does in-memory persistence remove technological barriers that prevent business outcomes at any latency?

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finding-fast-answers

Finding Fast Answers

Smart thoughts come quite readily to the prepared mind. Finding insights inside big data is easy if you’ve prepared, organized, and tuned it all for speedy access.

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cracking-the-code

Cracking the Code

Nature doesn’t reveal its deepest secrets to the casual observer. The edifice of scientific knowledge has risen because of the diligence and ingenuity of many smart people over many centuries. But it’s never perfectly secure in its foundations

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black-swans-sitting-ducks-and-geospatial-analytics
Strategies

Black Swans, Sitting Ducks, and Geospatial Analytics

Find out how data scientists can use geospatial analytics to help mitigate risks from natural disasters

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