Blogs

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.
Data science transformations: Learn from these clients at Think 2019

Data science transformations: Learn from these clients at Think 2019

January 23, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
If you’re a data scientist or leading a team, Think 2019 is where you’ll want to be in February to hear success stories from clients using IBM’s data science portfolio of solutions.
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.
Top five questions for Chief Data Officers in 2019

Top five questions for Chief Data Officers in 2019

January 18, 2019 | by Aliye Ozcan, Portfolio Marketing Leader, WorldWide, IBM
It’s that time of the year to step back, evaluate what worked, what did not, and what to do differently to make things better personally and professionally. The same applies to businesses.
Is your data ready for AI?  Part 2

Is your data ready for AI? Part 2

January 16, 2019 | by Rafi Ezry, Partner, North American Leader, Cognitive Business Decision Support (CBDS), IBM
Enterprise leaders understand the importance of integrating AI. However, there's a big difference between experimenting with AI & true enterprise-grade integration.

Q&A with Intel: What data virtualization means for the insight-driven enterprise

January 14, 2019 | by Lauren Frazier, Content Marketing Manager, IBM Cloud Private for Data
Join the on-demand webinar, Accelerating AI Innovation with Data Virtualization to hear directly from IBM and Intel on how you can benefit from IBM Cloud Private for Data.
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 that Rocks: Get behind Denmark’s premier music festival

Data that rocks: Get behind Denmark’s premier music festival

January 3, 2019 | by Jennifer Clemente, Creative & Editorial Lead, Data & AI, Cloud, IBM
Learn how Skanderborg Music Festival found success through IBM Analytics at Think 2018.
How AMC uses machine learning to find out more about TV viewers

How AMC uses machine learning to find out more about TV viewers

January 3, 2019 | by Hemant Suri, Senior Offering Manager, IBM
Machine learning is a hot topic no matter the industry, and rightfully so. Many see it as a path to greater efficiency and deeper insights.

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