Blogs

Databases that learn

Databases that learn

Applying the power of Neural Networks to SQL processing in Db2

February 22, 2018 | by Sam Lightstone, IBM Fellow, Analytics, IBM
Machine learning is being used at the heart of next- generation methods for self-driving cars, facial recognition, fraud detection and much more. At IBM, we’re applying machine learning methods to SQL processing so databases can literally learn from experience.
What's in store for a FOPM pro at Think 2018

What's in store for a FOPM pro at Think 2018

FOPM professionals looking toward a packed agenda at Think 2018

February 22, 2018 | by Paul Bard, Senior Marketing Writer, IBM
Almost any kind of finance and operational performance management (FOPM) professional, from VPs of finance to analysts and others, can learn a lot at Think 2018.
Does your data deserve a private cloud?

Does your data deserve a private cloud?

February 19, 2018 | by Mukta Singh, Program Director, Hybrid Data Management Offering Management, IBM
Your business and your data are both unique. For that reason, your enterprise architecture must also be tailored to fit the exact needs of your business. When data is involved, you want choices, not trade offs. And, more importantly, you want your solutions to build upon and complement one another.
What's in store for a CDO at Think 2018

What's in store for a CDO at Think 2018

February 16, 2018 | by Katie Kupec, Product Marketer, IBM
When you wake up, the last thing you want to ask yourself is, “What did my data do last night?” CDOs who find themselves asking that question can put a stop to it on March 19. IBM is bringing experts and leaders across data governance and integration to the annual Think conference.
3 principles for climbing the AI ladder with IBM Governed Data Lake

3 principles for climbing the AI ladder with IBM Governed Data Lake

February 12, 2018 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Recently, we capped off the first leg of the “Enabling digital business with an IBM governed data lake” road shows in the Asia Pacific region with our customers and partners.
5 ways to turn data into insights and revenue with cognitive content analytics

5 ways to turn data into insights and revenue with cognitive content analytics

February 9, 2018 | by Trips Reddy, Senior Content Manager, IBM Watson
Many companies are expected to pursue data management, advanced analytics and cognitive computing to stay competitive and drive revenue. Except for a handful of leaders such as LinkedIn, Netflix, Nordstrom, Target and Verizon, most companies are still struggling to close the gap between data...
Are critical business insights hiding inside your unstructured data?

Are critical business insights hiding inside your unstructured data?

IBM Content Analytics can help

February 5, 2018 | by Akiko Murakami, Software Engineer, Architect and Lab Advocate of Watson Explorer, IBM Japan
The search function is a very powerful tool, assuming you have concrete keywords or concepts to find in your data. And that does not even take into account the size of the information you might be searching.
How content analytics helps manufacturers improve product safety and save lives

How content analytics helps manufacturers improve product safety and save lives

February 2, 2018
Manufacturing problems can have a serious impact on businesses. This is especially true when these problems manifest themselves as product safety issues causing injury or even death.
Learn how to build your ladder to AI with "Machine Learning Everywhere"

Learn how to build your ladder to AI with "Machine Learning Everywhere"

January 31, 2018 | by Rosie Pongracz, Worldwide Marketing Director, Data Science & Business Analytics, IBM
Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere
The keys to becoming a data warehouse grandmaster

The keys to becoming a data warehouse grandmaster

January 30, 2018 | by Noah Kuttler, Marketing, IBM Data Warehouse Offerings, IBM
The greatest grandmasters in chess think five moves ahead. In IT, even thinking five moves ahead isn’t enough. A lot of things can happen, planned and unplanned, within the first five moves of an IT strategy deployment that cause a significant amount of disruption both concurrently and long...

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