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
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.
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,
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
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
The All England Lawn Tennis Club (AELTC) loves their data. During The Championships, Wimbledon, last year alone, IBM collected 4.5 million tennis data points covering every point in every match. In fact, the All England Club has data going all the way back to when The Championships started in 1877
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”
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
Martec's law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models.