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.

6 predictions for the future of deep learning

'Transfer learning' jump-starts new AI projects

'Transfer learning' jump-starts new AI projects

Machine learning, once implemented, tends to be specific to the data and requirements of the task at hand. Transfer learning is the act of abstracting and reusing those smarts

How cognitive computing will touch your life in 2017

How cognitive computing will touch your life in 2017

Cognitive computing has already affected your life, but expect your encounters with machine intelligence to be more frequent and profound

Deep learning is already altering your reality

Deep learning is already altering your reality

If we’re living in an algorithmic bubble, we should know how it’s bending and coloring whatever rays of light we’re able to glimpse through it

Data science predicts election winner!

Data science predicts election winner!

Statistical predictions are fragile flowers. They can inspire confidence, but often only under specific, ephemeral circumstances

Know when your big data is telling big lies

Know when your big data is telling big lies

Data scientists face an existential dilemma every single day: How do you distinguish signal from noisy illusion?

IoT's big challenge: Managing billions of devices

IoT's big challenge: Managing billions of devices

IoT will soon permeate every aspect of our lives -- the very definition of sprawl. How will we derive meaningful analytics from the endless IoT fabric?

Advancing the art of the cognitive chatbot

Advancing the art of the cognitive chatbot

Frameworks are just beginning to emerge for a microservices approach to intelligent personal assistants

How to monetize the fuzzy narratives of social listening

How to monetize the fuzzy narratives of social listening

Social media present at best a skewed portrait of how people truly feel or are likely to behave under various circumstances

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

Load More