Blogs

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 and Editorial Lead, Data and AI, 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...
Digital transformation: An elevator-pitch comic book

Digital transformation: An elevator-pitch comic book

February 4, 2019 | by Karen Madera, Product 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 Pak for Data

January 31, 2019 | by Sampada Bhasarkar, Director, IBM Cloud Private for Data, IBM Analytics
IBM Cloud Pak 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.
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.
Voice of the Client: How Experian is using AI to transform the business

Voice of the Client: How Experian is using AI to transform the business

January 21, 2019 | by Joni Rolenaitis, Vice President of Data Development and Chief Data Officer, Experian
Every company has its own set of problems that it attempts to solve. In our case, we needed a more efficient and accurate way to identify the relationships between businesses on which we maintain data.
A sneak preview of hybrid data management at THINK 2019

A sneak preview of hybrid data management at THINK 2019

January 18, 2019 | by Thomas Chu, Director, Offering Management, Hybrid Data Management, IBM
With THINK 2019 just around the corner, 12 through 15 February, there’s no better time to discover the variety of hybrid data management solutions and strategies, along with how each can help uncover actionable insights.
Is your data ready for AI?  Part 1

Is your data ready for AI? Part 1

January 10, 2019 | by Rafi Ezry, Partner, North American Leader, Cognitive Business Decision Support (CBDS), IBM
Enterprise leaders understand the importance of integrating AI into their business models. However, there's a big difference between experimenting with AI and true enterprise-grade integration of AI.
Data Science: Influencers review 2018 and share their 2019 predictions

Data Science: Influencers review 2018 and share their 2019 predictions

January 8, 2019 | by Holly Nielsen, Social Media Strategist, IBM
Data science was one of the hot topics of 2018, and it’s likely to dominate again in 2019. We've asked five key data science influencers to take a look back at 2018 and look ahead at what's to come in 2019.