Blogs

AI for AI: IBM debuts AutoAI in Watson Studio

AI for AI: IBM debuts AutoAI in Watson Studio

June 17, 2019 | by Ruchir Puri, Chief architect, IBM Watson and IBM Fellow, IBM
AutoAI in IBM Watson Studio makes it possible for you to automate many of the often complicated and laborious tasks associated with designing, optimizing and governing AI in the enterprise.
Making monitoring AI bias a little easier

Making monitoring AI bias a little easier

June 17, 2019 | by Susannah Shattuck, Product manager, Watson OpenScale, IBM
Starting today, we are making it easier to detect and mitigate bias against protected attributes like sex and ethnicity with Watson OpenScale through recommended bias monitors.
How a data warehouse appliance can help your data scientists deliver insights faster

How a data warehouse appliance can help your data scientists deliver insights faster

June 14, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
Learn why you need a ata-science-focused appliance like the IBM Integrated Analytics System, offering a 45 percent lower 5-year TCO over the competition.
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.
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...
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”...
Introducing IBM Cloud Pak for Data System

Accelerate your Journey to AI with a Hyper Converged Data and Analytics Platform

May 22, 2019 | by Vikram Murali, Director, Integrated Analytics Systems Development, IBM Data and AI
IBM Cloud Pak for Data System is an integrated end-to-end platform that is cloud native by design, architected as microservices and containerized workloads. It offers instant pre-assembled provisioning and has capabilities to collect, organize and analyze data. It takes the IBM Cloud Pak for Data...
How to Scale the AI ladder: Watch these enterprises

How to Scale the AI ladder: Watch these enterprises

May 21, 2019 | by Daniel Hernandez, VP, Offering Management, Analytics, IBM
There is no AI without data. That’s why we’ve put together a prescriptive set of five steps we call the ladder to AI to help our enterprise clients get their data ready. The journey of the AI ladder starts with collecting the data you need to build models, followed by organizing your data so you...

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