Blogs

AI advantage from within the data tornado of financial services

Know it first: The race for AI advantage from within the data tornado of financial services

June 10, 2019 | by Howard Getson, CEO, Capitalogix
Learn why finserv firm Capitalogix is climbing the ladder to AI to transform the financial services industry.
The future of AI looks bright with the IBM and Cloudera Partnership

The future of AI looks bright with the IBM and Cloudera Partnership

June 6, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
Together, IBM and Cloudera offer a modern data platform with the governance and security to drive the future of AI and ML. Our solutions are optimized for the cloud, but we give our customers options to put their data where it works best for them.
IBM Watson Knowledge Catalog

What is a data catalog and why you need one?

A data catalog organizes your information assets and empowers data citizens with business-ready data.

June 5, 2019 | by Emma Tucker, Product manager, Watson Data Catalog, IBM
A data catalog organizes your information assets and empowers data citizens with business-ready data.
10 ways the AI Database, Db2 11.5, will help your business pull ahead

10 ways the AI Database, Db2 11.5, will help your business pull ahead

June 4, 2019 | by Jon Lind, Principal Offering Manager, Db2, IBM
Today’s launch of Db2 11.5, the world’s premier AI database, is great news for any company seeking to build an architecture that supports their AI implementation. Governance, integration, and business intelligence are all important rungs on the ladder for a business to reach AI. But the first step...

Why decision optimization is essential for a data-driven economy

June 3, 2019 | by Lynn Chou
Back when I was in school, one of the most difficult classes for my business degree was quantitative analysis. It wasn’t just hard, it was laborious to translate and solve business conditions and problems into algebraic equations by hand. In the beginning, it was merely optimizing output based on a...
How to build a hybrid cloud by launching a more precise cloud data warehouse

How to build a hybrid cloud by launching a more precise cloud data warehouse

June 3, 2019 | by Lauren Moran, Hybrid Data Management Product Marketing Manager
According to a recent IDC report, 79 percent of enterprises are currently investing in a hybrid cloud environment or have planned to invest in towards one in the next twelve months. More businesses are looking to do this by adopting public cloud deployments for their data management needs. But...
The innovation continues with IBM Cloud Pak for Data v2.1

Happy anniversary: The innovation continues with IBM Cloud Pak for Data v2.1

May 30, 2019 | by Hemanth Manda, Director of offering management at IBM Analytics, IBM
It’s been one year since we launched IBM Cloud Pak for Data (previously IBM Cloud Private for Data), IBM's data and AI platform for today's modern enterprise. Since then, this platform has been embraced by hundreds of customers, and Forrester ranked it No. 1 in their “Enterprise Insights Platform”...
Five best practices for better marketing planning from Ventana Research

Five best practices for better marketing planning from Ventana Research

May 30, 2019 | by Paul Bard, Senior Marketing Writer, IBM
Learn how to upgrade your marketing plans with some insights from Ventana Research.
IBM Planning Analytics receives top ranks in world’s largest planning survey

IBM receives top ranks in world’s largest survey of planning software users

May 28, 2019 | by Paul Bard, Senior Marketing Writer, IBM
Before making any major purchase decision, most of us read reviews to learn about the experiences of other users and get an understanding of a product from the perspective of the marketplace. This is especially important for when evaluating options for a major investment like planning software. Our...
Voice of the Client: Is AI your priority? Start with a data strategy

Voice of the Client: Is AI your priority? Start with a data strategy

May 23, 2019 | by Melvin Greer, Senior Principal Engineer and Chief Data Scientist - Americas, Intel Corporation
Intel's Melvin Greer, Senior Principal Engineer and Chief Data Scientist, Americas writes about the data strategy necessary to execute the promises of AI and touts their collaboration with IBM on Cloud Pak for Data. But before anyone can execute an AI strategy, they’ll need a data strategy.