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Easing the journey to AI through full-function, untimed trials and streamlined database upgrades

Easing the journey to AI through full-function, untimed trials and streamlined database upgrades

August 19, 2019 | by Kip Yego, Db2 Product Marketing Manager, IBM
Choosing the right data management solutions as the foundation for AI is crucial. Enabling AI optimization and usability is paramount, as is easy scalability to accommodate the increasing amount of data used by AI applications. This is true no matter where you store your data: on-premises, in the...
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...
Why hybrid cloud environments require live data replication technology

Why hybrid cloud environments require live data replication technology

August 12, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
The best decisions are made by extracting value from all the disparate data across your business. Yet aggregating data across external sources, regional silos and various forms of storage is not an easy challenge to solve. Data-powered businesses need always-on access to data to keep operations...
Exploring Python's popularity and use with SQL databases

Why Python is getting more popular...and how to use it with SQL databases

August 8, 2019 | by Roger Sanders, DB2 for LUW Offering Manager, IBM
For the past nine years, Stack Overflow, a question-and-answer website for programmers, has polled developers to understand what technologies they are using and to find out what technologies they want to work with next. This year, the nearly 90,000 survey participants revealed that, once again,...
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 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,...

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