Blogs

Accelerating unstructured data compliance with a new approach: sampling

Accelerating unstructured data compliance with a new approach: sampling

September 6, 2019 | by Amir Jaibaji, WW Program Director, Offering Management, Information Governance and eDiscovery, IBM
The initial goal of sampling is to assess where the highest compliance risk areas are within your enterprise. Read the blog to learn how IBM StoredIQ InstaScan accelerates this.
How AI Picks the most exciting moments at the US Open without bias

How AI picks the most exciting moments at the US Open without bias

September 6, 2019 | by Aaron Baughman, Distinguished Engineer and Master Inventor, IBM GBS Interactive, IBM
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis play at the US Open consists of 254 matches in the men’s and women’s singles events totaling tens of thousands of points. During the tournament’s two weeks, many matches...
3 reasons you can’t miss the Data and AI Forum this October

3 reasons you can’t miss the Data and AI Forum this October

August 22, 2019 | by Paul Ambraz, Director of Marketing, IBM Data and AI, IBM
Is your business ready to harness the power of AI to unlock value from all your data? Are you just getting started on your company’s path to AI – or are you working to scale AI to more areas of your enterprise business? Regardless of where you are on your journey to AI – you should consider...
6 DataOps essentials to deliver business-ready data

6 DataOps essentials to deliver business-ready data

August 15, 2019 | by Aliye Ozcan, Portfolio Marketing Leader, WorldWide, IBM
Nearly every business is under competitive, disruptive, and regulatory pressures. As companies face digital transformation and modernization to meet their customers’  expectations, leveraging data and AI at the speed of business can be the biggest differentiator. However, according to MIT Sloan, 81...
3 Principles to move from AI Pilots to AI @ Scale

3 Principles to move from AI Pilots to AI @ Scale

August 14, 2019 | by Karan Sachdeva, Director for Watson and AI applications, IBM
In my last blog post, I covered how you can deliver an AI pilot in just eight weeks and at the same time design your program in a way to scale the AI across your enterprise.  Culture, architecture and technology is fundamental to move from AI pilot to AI @ Scale. I also discussed how IBM is helping...
How IBM Cloud Pak for Data System delivers rapid value to data-driven businesses

How IBM Cloud Pak for Data System delivers rapid value to data-driven businesses

August 6, 2019 | by Vikram Murali, Director, Integrated Analytics Systems Development, IBM Data and AI
IBM continues to increase support for open source technologies. Today, we are pleased to announce that Cloud Pak for Data System now features a new capability for Postgres workloads—the IBM Performance Server for PostgreSQL.
The cost of data warehouse appliance complexity: Comparing IAS and IntelliFlex

The cost of data warehouse appliance complexity: Comparing IAS and IntelliFlex

August 5, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Cloudera Partnership, IBM
In a previous blog, I explained how data science capabilities, massive parallel processing (MPP) and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. But what does that look like in practice? Research firm Quark +...
3 business realities fueling the need for enterprise data preparation

3 business realities fueling the need for enterprise data preparation

August 2, 2019 | by Karen Madera, Portfolio Product Marketing Manager, DataOps, IBM
The pressure is rising for business users, automation, and governed data lakes to drive business value. Learn how enterprise data preparation fits in.
Cloud Pak for Data System drives positive out-of-the-box AI experience

Cloud Pak for Data System drives positive out-of-the-box AI experience

July 31, 2019 | by Daniel G. Hernandez, VP, Data and AI, IBM
Today, IBM announced bold new moves that transform our software portfolio to be cloud-native and delivered as pre-integrated solutions called IBM Cloud Paks. A key part of this effort is Cloud Pak for Data, a cloud-native, container-based data platform that enables IBM Watson to run Anywhere,...
Voice of the Client: Anyline teaches smartphones to read with Watson AI

Voice of the Client: Anyline teaches smartphones to read with Watson

July 29, 2019 | by Daniel Albertini, CTO and Founder, Anyline
Anyline uses Watson Machine Learning to enable smartphones to read documents like license plates and serial numbers, as well as take meter readings.