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The cost of data warehouse appliance complexity: Comparing IAS and IntelliFlex

August 5, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM

In a previous blog, I explained how data science capabilities, massive parallel processing (MPP) and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice? Research firm Quark +...

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...

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 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...