Blogs

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.
Why analytics pros should go to Think 2019

Why analytics pros should go to Think 2019

January 7, 2019
Are you working to collect, organize, analyze or modernize your company’s data? Is your business on the ladder to AI? Then you should join us at IBM Think 2019, the event of the year for analytics pros and business leaders.
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.
3 trends leading to multicloud adoption

Top 3 trends leading to multicloud adoption

December 31, 2018 | by Bharath Chari, WW Product Portfolio Marketing Manager, IBM Data Integration & Data Replication
Martec's law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models.
From data collection to data consumption

From data collection to data consumption

A shift in enterprise data strategies

November 12, 2018 | by Jay Limburn, Director and Distinguished Engineer, Offering Management, IBM
Not every startup is going to become a world-changing behemoth, but when a small, agile company hits on a truly disruptive idea, it can transform an entire industry.