Blogs

Advancements in streaming data storage, real-time analysis and machine learning

Advancements in streaming data storage, real-time analysis and machine learning

July 25, 2019 | by Sue Green, Product Marketing Manager, IBM Data & AI, IBM
It’s no surprise:  most companies working with stream data today say they are planning to make changes to drive greater value. Advancements in machine learning (ML) and very-high-speed data persistence for real-time analytics are reshaping strategies and architectures. In addition, 88 percent of...
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 & Cloudera 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.
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...
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...
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, Offering Manager, Watson Data & AI, 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
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...
Deliver a customer experience fit for royalty with data science and AI

Deliver a customer experience fit for royalty with data science and AI

July 2, 2019 | by Wennie Allen, Business Director, Data Science and AI Elite, IBM
Delivering a great customer experience is more important than ever. Learn what you can deliver with data science and AI.
How IBM is advancing DataOps and Watson Anywhere with new capabilities

How IBM is advancing DataOps and Watson Anywhere with new capabilities

June 27, 2019 | by Daniel G. Hernandez, VP, Data and AI, IBM
While data is an enterprise’s most valuable resource when it comes to gaining competitive advantage and improving business performance, time is a critical component. Businesses run 24x7, tasking our data citizens to maximize actionable insights that will drive the actions of tomorrow. However, if...
How enterprises benefit from a database powered by and built for AI

How enterprises benefit from a database powered by and built for AI

June 26, 2019 | by Pandit Prasad, Offering Management, IBM Cloud and Cognitive Software, IBM
Businesses should consider a database that is both powered by, and built for, AI. Learn why you should start your AI journey with Db2 11.5.