Blogs

How Honda is using cognitive search to drive real changes

How Honda is using cognitive search to drive real changes in quality assurance

January 29, 2018 | by Amit Kumar, Product Marketing Lead, IBM Watson Explorer, IBM
Today, unstructured information represents more than 90% of the information within organizations. This IDC case study estimates that the digital universe will grow 40 percent per year over the next decade and, by 2020 it will reach an astounding 44ZB or 44 trillion gigabytes.
Hybrid use cases to dominate machine learning in 2018, part 2

Hybrid use cases to dominate machine learning in 2018, part 2

January 25, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
Hybrid use cases to dominate machine learning in 2018, part 1

Hybrid use cases to dominate machine learning in 2018, part 1

January 16, 2018 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
A hand to hold: Giving Watson a body (and a soul)

A hand to hold: Giving Watson a body (and a soul)

December 20, 2017 | by Jennifer Clemente, Creative and Editorial Lead, Data and AI, IBM
If the first things that come to mind when you think of AI assistants are the likes of Amazon Alexa or Google Home, it’s time to learn about embodied cognition, AI that can physically interact with its environment. A year ago, IBM researchers did just that and brought Watson services into the...
Influencers assess 2017 and make predictions for 2018

Influencers assess 2017 and make predictions for 2018

December 20, 2017 | by Melissa Love, Influencer Marketing Manager, IBM
As the year winds down, questions tend to arise about what the big trends of the past year have been and what the year to come may hold.
Top 10 IBM Big Data & Analytics Hub podcasts of 2017

Top 10 IBM Big Data & Analytics Hub podcasts of 2017

December 18, 2017 | by Oliver Clark, Social Media Execution Strategist, IBM
It can be difficult to keep up with all the best podcast episodes during the year. That's why we've compiled the Top 10 podcasts of the year from the IBM Big Data & Analytics Hub Insights Podcast feed right here.
Is “embodied cognition” the future of AI?

Is “embodied cognition” the future of AI?

December 14, 2017 | by Steve Moore, Senior Story Strategist, IBM
As happens so often, IBM is quietly laying the groundwork for the future. A recent step toward that future is TJBot, an unassuming, do-it-yourself cardboard robot that opens a window into what AI researchers are calling “embodied cognition.
Top 10 IBM Big Data & Analytics Hub blog posts of 2017

Top 10 IBM Big Data & Analytics Hub blog posts of 2017

December 4, 2017 | by Erika Ulring, Editor-in-Chief of the Big Data and Analytics Hub, IBM
Readers of the IBM Big Data & Analytics Hub were hungry for knowledge this year. They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more....
IBM launches new Integrated Analytics System with Machine Learning

IBM launches new Integrated Analytics System with Machine Learning

November 16, 2017 | by Charles King, Principal Analyst and President, Pund-IT, Inc.
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects.
5 tips for machine learning success outside of Silicon Valley

5 tips for machine learning success outside of Silicon Valley

November 15, 2017 | by Jean-François Puget, Chief Architect – Analytics Solutions, IBM
Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data...

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