Blogs

Don’t wait to set your data strategy as Netezza goes end of support

Don’t wait to set your data strategy as Netezza goes end of support

March 18, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
Support for Netezza TwinFin and Striper models will end as early as June 2019, potentially leaving business-critical data in unsupported environments. Yet there’s no need for long-time Netezza customers to take those risks. The next stage in Netezza’s evolution has already arrived.
Trusting AI to save lives in India

Trusting AI to save lives in India

The IBM Data Science Elite team puts ICP for Data to the test

March 14, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
India’s current patient to physician ratio prevents thousands from receiving individualized care needed. iKure has developed a network of facilities with an integrated EMR system that brings care to rural communities in India, Vietnam, and Africa at an affordable and convenient way.
How to control costs and simplify life with IBM Hybrid Data Management Platform

How to control costs and simplify life with IBM Hybrid Data Management Platform

March 8, 2019 | by Dimitri Wolford, Offering Manager, Hybrid Data Management Platform, IBM
The IBM Hybrid Data Management Platform provides simplicity and control in one package for your hybrid architecture needs or journey to the cloud.
3 ways prescriptive analytics helps deliver better financial services

3 ways prescriptive analytics helps deliver better financial services

March 6, 2019 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
As any financial services executive knows, improving business results with precise, timely decisions is much harder than it looks.
How to improve manufacturing ROI with prescriptive analytics

How to improve manufacturing ROI with prescriptive analytics

March 6, 2019 | by Sajan Kuttappa, Product Marketing Manager – IBM Decision Optimization, IBM
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while...
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...
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 Pak 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 Pak 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.