Blogs

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...
Making Watson available on any cloud

Making Watson available on any cloud

IBM ends siloed-AI by adding more Watson to IBM Cloud Private for Data

February 13, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
During the IBM flagship Think conference in San Francisco today, businesses looking to accelerate their transformation with the IBM AI Watson were treated to news that they’ll be able to build, deploy and run AI models and applications across any cloud, giving them the freedom to apply Watson...
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.
Moving toward an open future of data and AI

Moving toward an open future of data and AI

February 7, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
A faster journey to AI for the enterprise? What’s the secret? In this interview with Dinesh Nirmal, IBM vice president of analytics development, he shares the highlights of his upcoming Think session: “Modernizing Your Data Estates for an AI and Multicloud World.” On Wednesday, 13 February, he and...
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 ways to monetize data using IBM Cloud Private for Data

4 ways to monetize data using IBM Cloud Private for Data

January 31, 2019 | by Sampada Bhasarkar, Director, IBM Cloud Private for Data, IBM Analytics
IBM Cloud Private for Data is a data and analytics platform that provides that cohesive ecosystem to accelerate data monetization to impact your bottom line without the data leaving your organization.
Measuring the value of Watson Studio and Watson Knowledge Catalog

Measuring the value of Watson Studio and Watson Knowledge Catalog

January 30, 2019 | by Angshuman Roy, Global Product Marketing Manager, IBM
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value of an investment in IBM Watson Studio and Watson Knowledge Catalog.
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.