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How to deliver a scalable AI pilot in just 8 weeks

July 18, 2019 | by Karan Sachdeva, Director, Data And AI, Asia Pacific, IBM
In business, aspiring to world-class is not enough when your competitors are already there. About half of the companies listed on the S&P 500 will be replaced over the next 10 years. Compared to the past, what’s unique abou     t the disruption happening today is the rapid pace of change....
An easy upgrade from Netezza to the IAS brings major benefits for Capitalogix

An easy upgrade from Netezza to the IAS brings major benefits for Capitalogix

July 17, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
Capitalogix is a hedge fund, but it’s really a data science firm in disguise. They work to understand and exploit capital markets by building custom data science models that can analyze massive amounts of data from as many sources as possible. Capitalogix’s need for high-performance analytics and...
Behind this AI is the woman shaping its future: Meet Sara Hines, Humana

Behind this AI is the woman shaping its future: Meet Sara Hines, Humana

July 17, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Learn how Sara Hines, an IBM recognized woman leader in AI, rounds-up an “angsty AI teen” to improve the customer experience at Humana.
Submit your entry for Call for Code 2019

Join the app development competition aiming to save lives worldwide

Submit your entry for Call for Code 2019

July 15, 2019 | by Sue Green, Product Marketing Manager, IBM Data & AI, IBM
Last year, more than 100,000 developers from 156 nations built 2,500+ applications in Call for Code 2018, an IBM initiative to create meaningful change through technology. This year, it's your turn. Join Call for Code 2019 and you’ll have the opportunity to create sustainable software solutions...
How AI picks the most exciting moments at Wimbledon without bias

How AI picks the most exciting moments at Wimbledon without bias

July 12, 2019 | by Aaron Baughman, Distinguished Engineer and Master Inventor, IBM GBS Interactive, IBM
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Wimbledon is one of the most prestigious major events in the world. With over 675 matches played and over 147,000 tennis points played, its size and scale are substantial. In...
Wimbledon surfaces data insights for fan engagement

Wimbledon surfaces data insights for fan engagement

July 11, 2019 | by Letha Wicker, IBM Cognos Content Marketing Manager
The All England Lawn Tennis Club (AELTC) loves their data. During The Championships, Wimbledon, last year alone, IBM collected 4.5 million tennis data points covering every point in every match. In fact, the All England Club has data going all the way back to when The Championships started in 1877...
How AI picks the highlights from Wimbledon fairly and fast

How AI picks the highlights from Wimbledon fairly and fast

July 10, 2019 | by Aaron Baughman, Distinguished Engineer and Master Inventor, IBM GBS Interactive, IBM
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis during the Wimbledon Championships fortnight occurs on 18 courts with over 147,000 points contested. In many cases, fans watch one match at a time and catch up on the...
Data virtualization powers AI across a multicloud environment

Data virtualization powers AI across a multicloud environment

July 9, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Data quality. Talent. Trust. Find out how Cloud Pak for Data—with data virtualization—treats these three major pain points when managing your data estate.
5 things you need to look for in an enterprise data catalog

5 things you need to look for in an enterprise data catalog

July 8, 2019 | by Emma Tucker, Product manager, Watson Knowledge Catalog, IBM
Learn about the most critical components to selecting an enterprise data catalog for your business.
What is the impact of data science automation?

What is the impact of data science automation?

July 3, 2019 | by Julianna Delua, Portfolio Lead, Watson Studio Data and AI, Cloud, IBM, IBM
On June 12th, IBM debuted AutoAI, a new set of capabilities for Watson Studio designed to automate critical yet time-consuming tasks associated with designing, optimizing and governing AI in the enterprise. As a result, data scientists can be liberated to commit more time to designing, testing and...

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