Blogs

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 & Cloudera 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 on Red Hat OpenShift: The best of both worlds

Cloud Pak for Data on Red Hat OpenShift: The best of both worlds

August 1, 2019 | by Hemanth Manda, Director of offering management at IBM Analytics, IBM
IBM’s integrated platform for Data & AI, which is 100% complimentary to Red Hat offerings. It runs on OpenShift today and has a hardware version called Cloud Pak for Data System. The beauty of Cloud Pak for Data is that it includes all of IBM’s strategic Data and AI services – including Watson...
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,...
Data virtualization powers AI across a multicloud environment

Data virtualization powers AI across a multicloud environment

July 30, 2019 | by Scott Hebner, Vice President of Marketing for Data & 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.
Driving the culture of AI forward with MongoDB

Driving the culture of AI forward with MongoDB

How MongoDB and “partner of the year” IBM collaborate to drive your AI practice

July 30, 2019 | by Nikhil Shetty, Product Marketing Manager - Open Source DB and Data Management Tools, IBM
“In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity,” according to Gartner. It will do so largely by learning how to make better predictions over time and supplementing people’s ability to complete tasks in more natural ways...
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...
The secrets to successful IT planning: Q&A with Forrester VP and principal analyst Bobby Cameron

The secrets to successful IT planning: Q&A with Forrester VP and principal analyst Bobby Cameron

July 22, 2019 | by Mike Sadler, Offering Management, IBM Planning Analytics - Digital Offerings, IBM
Learn about mastering IT complexity with integrated planning from Forrester VP and principal analyst Bobby Cameron.