James Kobielus

Columnist

As IBM's big data evangelist, James Kobielus is senior program director for product marketing for big data analytics solutions. He is an industry veteran, a popular speaker and social media participant, and a thought leader in big data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management, and next-best-action technologies. The views expressed here are not necessarily those of IBM.

How to monetize the fuzzy narratives of social listening

3 safeguards for intelligent machines

3 safeguards for intelligent machines

How can we ensure that autonomous devices, including Internet of things endpoints, will never go rogue? Start with these three basic principles

Graph analysis: Not the dots, but the connections

Graph analysis: Not the dots, but the connections

When relationships between entities are more important than the entities themselves, you have a business problem made for graph analysis

Machine learning models need love, too

Machine learning models need love, too

Machine learning is infusing applications with predictive power -- but unless you give machine learning models ongoing attention, that power will fade away

2020 vision: The triumph of cognitive IoT

2020 vision: The triumph of cognitive IoT

In a few years, smart endpoints will distribute cognitive capability everywhere, and we'll wonder how we ever did without it

It's springtime at last for cognitive computing

It's springtime at last for cognitive computing

Artificial intelligence suffered a long winter, but a new name -- cognitive computing -- and a flood of data, innovation, and compute power now has thousands smart applications flourishing

Streaming analytics enter the fast lane

Streaming analytics enter the fast lane

Already we've moved on to a new phase in analytics where data never rests

Algorithms for eyes: How deep learning can help the blind

Algorithms for eyes: How deep learning can help the blind

Algorithms for real-time collision avoidance, geospatial nav, and situational awareness -- coupled with haptic feedback -- may soon provide the visually impaired with invaluable aid

Humans vs. algorithms: Who -- or what -- should decide?

Humans vs. algorithms: Who -- or what -- should decide?

Increasingly, big data algorithms make decisions on customers' behalf. Sometimes they're wrong. Then again, human beings can be even more wrong

No, the data warehouse is not dead

No, the data warehouse is not dead

Every surge in new tech prompts declarations that existing tech is circling the drain, but the data warehouse isn't going anywhere -- in fact, it's healthier than ever

The all-consuming future of cloud analytics

The all-consuming future of cloud analytics

An explosion of use cases is driving runaway growth in cloud analytics -- but can anyone really declare that the cloud is the omega of IT platforms?

Hadoop is probably as mature as it's going to get

Hadoop is probably as mature as it's going to get

Five years ago, Hadoop came roaring into the mainstream as the solutions to all big data problems. Now that reality has settled in, it's time for a more realistic assessment

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