Blogs

Cloud Pak for Data on Red Hat OpenShift: The best of both worlds

Cloud Pak for Data on Red Hat OpenShift: The best of both worlds

August 1, 2019 | by Hemanth Manda, Executive Director, IBM Data and AI, IBM
IBM’s integrated platform for Data & AI, which is 100% complimentary to Red Hat offerings. It runs on OpenShift today and has a hardware version called Cloud Pak for Data System. The beauty of Cloud Pak for Data is that it includes all of IBM’s strategic Data and AI services – including Watson...
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,...
Advancements in streaming data storage, real-time analysis and machine learning

Advancements in streaming data storage, real-time analysis and machine learning

July 25, 2019 | by Sue Green, Product Marketing Manager, IBM Data & AI, IBM
It’s no surprise:  most companies working with stream data today say they are planning to make changes to drive greater value. Advancements in machine learning (ML) and very-high-speed data persistence for real-time analytics are reshaping strategies and architectures. In addition, 88 percent of...

How to deliver a scalable AI pilot in just 8 weeks

July 18, 2019 | by Karan Sachdeva, Director for Watson and AI applications, IBM
In business, aspiring to world-class is not enough when your competitors are already there. About half of the companies listed on the S&P 500 will be replaced over the next 10 years. Compared to the past, what’s unique about the disruption happening today is the rapid pace of change. During...
An easy upgrade from Netezza to the IAS brings major benefits for Capitalogix

An easy upgrade from Netezza to the IAS brings major benefits for Capitalogix

July 17, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Cloudera Partnership, IBM
Capitalogix is a hedge fund, but it’s really a data science firm in disguise. They work to understand and exploit capital markets by building custom data science models that can analyze massive amounts of data from as many sources as possible. Capitalogix’s need for high-performance analytics and...
Behind this AI is the woman shaping its future: Meet Sara Hines, Humana

Behind this AI is the woman shaping its future: Meet Sara Hines, Humana

July 17, 2019 | by Thomas LaMonte, Content Marketing Director, IBM Data and AI, IBM
Learn how Sara Hines, an IBM recognized woman leader in AI, rounds-up an “angsty AI teen” to improve the customer experience at Humana.
Submit your entry for Call for Code 2019

Join the app development competition aiming to save lives worldwide

Submit your entry for Call for Code 2019

July 15, 2019 | by Sue Green, Product Marketing Manager, IBM Data & AI, IBM
Last year, more than 100,000 developers from 156 nations built 2,500+ applications in Call for Code 2018, an IBM initiative to create meaningful change through technology. This year, it's your turn. Join Call for Code 2019 and you’ll have the opportunity to create sustainable software solutions...
What is the impact of data science automation?

What is the impact of data science automation?

July 3, 2019 | by Julianna Delua, Portfolio Lead, Watson Studio Data and AI, Cloud, IBM
On June 12th, IBM debuted AutoAI, a new set of capabilities for Watson Studio designed to automate critical yet time-consuming tasks associated with designing, optimizing and governing AI in the enterprise. As a result, data scientists can be liberated to commit more time to designing, testing and...
Growing data complexity? Meet scalable enterprise performance management

Growing data complexity? Meet scalable enterprise performance management

July 3, 2019 | by Stephanie Freyer, IBM Planning Analytics Marketing, IBM
When businesses evaluate cloud infrastructure, databases or other core business systems, they nearly always consider scale as a decision factor. But scalability – the ability to grow as planning and business grows – is often overlooked for enterprise performance management. So what do companies...
Deliver a customer experience fit for royalty with data science and AI

Deliver a customer experience fit for royalty with data science and AI

July 2, 2019 | by Wennie Allen, Business Director, Data Science and AI Elite, IBM
Delivering a great customer experience is more important than ever. Learn what you can deliver with data science and AI.