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6 DataOps essentials to deliver business-ready data

6 DataOps essentials to deliver business-ready data

August 15, 2019 | by Aliye Ozcan, Portfolio Marketing Leader, WorldWide, IBM
Nearly every business is under competitive, disruptive, and regulatory pressures. As companies face digital transformation and modernization to meet their customers’  expectations, leveraging data and AI at the speed of business can be the biggest differentiator. However, according to MIT Sloan, 81...
3 Principles to move from AI Pilots to AI @ Scale

3 Principles to move from AI Pilots to AI @ Scale

August 14, 2019 | by Karan Sachdeva, Director, Data And AI, Asia Pacific, IBM
In my last blog post, I covered how you can deliver an AI pilot in just eight weeks and at the same time design your program in a way to scale the AI across your enterprise.  Culture, architecture and technology is fundamental to move from AI pilot to AI @ Scale. I also discussed how IBM is helping...
How IBM Cloud Pak for Data System delivers rapid value to data-driven businesses

How IBM Cloud Pak for Data System delivers rapid value to data-driven businesses

August 6, 2019 | by Vikram Murali, Director, Integrated Analytics Systems Development, IBM Data and AI
IBM continues to increase support for open source technologies. Today, we are pleased to announce that Cloud Pak for Data System now features a new capability for Postgres workloads—the IBM Performance Server for PostgreSQL.
The cost of data warehouse appliance complexity: Comparing IAS and IntelliFlex

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 +...
3 business realities fueling the need for enterprise data preparation

3 business realities fueling the need for enterprise data preparation

August 2, 2019 | by Karen Madera, Product Marketing Manager, Unified Governance and Integration, IBM
The pressure is rising for business users, automation, and governed data lakes to drive business value. Learn how enterprise data preparation fits in.
Cloud Pak for Data System drives positive out-of-the-box AI experience

Cloud Pak for Data System drives positive out-of-the-box AI experience

July 31, 2019 | by Daniel G. Hernandez, VP, Data and AI, IBM
Today, IBM announced bold new moves that transform our software portfolio to be cloud-native and delivered as pre-integrated solutions called IBM Cloud Paks. A key part of this effort is Cloud Pak for Data, a cloud-native, container-based data platform that enables IBM Watson to run Anywhere,...
Voice of the Client: Anyline teaches smartphones to read with Watson AI

Voice of the Client: Anyline teaches smartphones to read with Watson AI

July 29, 2019 | by Daniel Albertini, CTO and Founder, Anyline
Anyline uses Watson Machine Learning to enable smartphones to read documents like license plates and serial numbers, as well as take meter readings.
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 & 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.

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