2020 has been a transformational year with the majority of enterprises either thriving or doing their best to adapt to the new normal. In order to not only endure, but to succeed, organizations must innovate by accelerating transformation and infusing intelligence and automation into their business processes. The latest version of IBM Cloud Pak® for Data, IBM’s end-to-end data and AI platform, is packed with capabilities to drive this essential transformation. Combining a comprehensive set of IBM open source and third-party services within an integrated platform, the enhancements within version 3.5 build upon the existing benefits of the platform in two critical areas: (1) cost optimization and (2) innovation to drive digital transformation. Whether in the form of advanced automation; streamlined management and fully integrated services to optimize costs; or driving innovation with accelerated AI, improved governance and an expanded ecosystem; the platform provides the foundation for successful AI on any cloud. Read more and join the…

Although more organizations are learning about the value of centralizing data management across hybrid multiclouds and infusing data science and AI into the infrastructure, not everyone has been able to do it. Maybe they lack the resources or capital expenditure. Or maybe they just don't feel ready. These are the kinds of organizations we had in mind when we set out to create an as-a-Service version of our integrated data and AI platform, Cloud Pak for Data -- an offering that is currently available as beta. Of the many attributes of the as-a-Service version, "use case" examples will help organizations understand how services can be integrated together to support specific disciplines.

What does a "journey" mean to you? At IBM, our long standing tradition of journey exploration has led humans to the moon and coined the term machine learning 50 years ago. Now we are helping organizations scale the ladder to AI to reap rewards in growth, productivity and efficiency with IBM Watson. This journey to AI mirrors the history of travel. In this article, I'll explain how IBM Cloud Pak for Data accelerates the journey to AI and delve into the ways AutoAI helps boost the speed of business returns.

Today, machine learning (ML), artificial intelligence (AI) and decision optimization are not just buzzwords found all over the news. They are urgent requirements for many companies that fear disruption, want to perform pragmatic analysis and make better decisions with their data. Data has been called the next natural resource, like oil. But just as with oil, it must be refined to be valuable, and its end value must exceed the cost of refining it. With data, the value of AI is the cost of investing in collecting, organizing and analyzing all that data.