Blogs

Filter Content

Big Data
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.
The AI database is upon us

The AI database is upon us

February 13, 2019 | by Thomas Chu, Director, Offering Management, Hybrid Data Management, IBM
IBM General Manager for Data and AI Rob Thomas has said organizations can't have effective AI without sound IA (Information Architecture). And one of the pillars of any IA is data management.
The Data and AI announcements from IBM Think 2019

The Data and AI announcements from IBM Think 2019

February 13, 2019 | by Matthew Johnsen, Social Content Writer, IBM Cloud
Today at Think 2019, IBM announced a new vision for the future of AI and digital transformation. Along the way, we made a number of announcements and updates that could profoundly impact how enterprises will use analytics and AI to shape the future of their business. In all, it was definitely a big...
A breakthrough in GDPR compliant data analytics

A breakthrough in GDPR data analytics

Keeping analytics useful in a GDPR-driven world

February 11, 2019 | by Rob Thomas, General Manager, IBM Data and AI, IBM
The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.
Digital transformation: An elevator-pitch comic book

Digital transformation: An elevator-pitch comic book

February 4, 2019 | by Karen Madera, Content Marketing Manager, Unified Governance and Integration, IBM
Join Dion Hinchcliffe as he stars in his first comic book, leading the charge to uncover the keys to a trusted, business-ready analytics foundation to know, trust, and use your data.
4 things to consider when setting your fast data strategy

4 things to consider when setting your fast data strategy

A new Forrester study, Part 2 of 2

January 29, 2019 | by Anson Kokkat, Worldwide Offering Manager for Hybrid Data Management Platform, IBM
In the study, the definition of fast data starts with the technical characteristics mentioned in our last article, but there’s more to that definition.
Prepare your data management architecture for machine learning at THINK

Prepare your data management architecture for machine learning at THINK

January 28, 2019 | by Matthias Funke, Director Hybrid Data Management, IBM Analytics
One of the best parts of Think is hearing details of successful implementations of hybrid data management solutions and machine learning directly from peers across a variety of industries.

Pages