Blogs

Prescriptive analytics: The cure for a transforming healthcare industry

Prescriptive analytics: The cure for a transforming healthcare industry

March 6, 2019 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple...
IBM bridges the most vulnerable silos in the world: Us

How a California county is using data and AI to help citizens in need

March 6, 2019 | by Thomas LaMonte, Voice of the Client, Data & AI, Cloud, IBM
Leveraging IBM cloud and partnered with IBM leaders, Sonoma County transformed with data and Watson AI.
Simplifying Db2 downloads to help clients and developers get started

Simplifying Db2 downloads to help clients and developers get started

March 5, 2019 | by Jon Lind, Principal Offering Manager, Db2, IBM
Instead of choosing between multiple download options, anyone can now download and use a single, full-featured version of Db2 for as long as they want, without paying fees, contacting an IBM sales person, providing a credit card, getting on a mailing list or enduring adware.
How press reacted to the data and AI news from Think 2019

How press reacted to the Data and AI news from Think 2019

March 1, 2019 | by Matthew Johnsen, Social Content Writer, IBM Cloud
IBM Think 2019 brought a huge week of news for data professionals. IBM executives took to the stage and announced a wide range of new developments in the world of Data and AI.
IBM Streams brings real-time insights to IBM Cloud Private for Data

IBM Streams brings real-time insights to IBM Cloud Private for Data

February 28, 2019 | by Stephen Hussey, Offering Manager, IBM
Today, we’re pleased to announce the availability of IBM Streams as a premium add-on to IBM Cloud Private for Data, delivering on the promise of joining data with AI together in real-time.
Modernize applications with automated, self-service data

Modernize applications with automated, self-service data

February 28, 2019 | by Charlie Kwon, IBM Data and AI, Director Offering Management, Unified Governance & Integration
IBM recently released IBM InfoSphere Virtual Data Pipeline (VDP) to help clients innovate at the speed of customer demands.
5 ways organizations can benefit from machine learning

5 ways organizations can benefit from machine learning

February 22, 2019 | by Heidi Maher, Executive Director, Compliance, Governance and Oversight Counsel (CGOC), CGOC
Machine learning (ML) offers huge potential to help compliance and legal teams accomplish many of their most important rule tracking, employee monitoring and documentation activities.
Five high notes from Think 2019

Five high notes from Think 2019

February 21, 2019 | by Thomas LaMonte, Voice of the Client, Data & AI, Cloud, IBM
At IBM's recent Think 2019, enterprises embarking upon their AI journey were squarely focused on sessions and labs focused on how to get data ready for successful AI deployments. We sent our newest, freshest team member Thomas LaMonte loose at Think during his second week at IBM to get his first...
The vision for Db2 and other announcements from Think 2019

The vision for Db2 and other announcements from Think 2019

February 21, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
At the Think 2019 conference, IBM hosted a plethora of data-management-focused sessions with several announcements that will undoubtedly impact the data management strategy of many businesses.
IBM embraces multicloud warehouse availability on AWS, adds elastic SMP

IBM embraces multicloud warehouse availability on AWS, adds elastic SMP

February 14, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.