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.

Machine learning models need love, too

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

Analytics and measurements: A recipe for sustainable food chains

Analytics and measurements: A recipe for sustainable food chains

Our food chain is full of waste, but widely distributed sensors and big data analytics together hold potential for dramatic conservation of resources

Busted! The campaign against counterfeit reviews

Busted! The campaign against counterfeit reviews

Fake reviews, either intended to trash a company or artificially inflate its standing, are poisoning the Internet. Here's how machine learning is attempting to stop the counterfeitting

Peeling back the layers of the smarter city

What's the key to making cities smarter? Extend data-driven analytic infrastructure across every aspect of urban existence

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