Big data & analytics

IBM Visual Insights help unlock insights across industries

Modern data platforms, News, Power Systems

More and more enterprises seek new ways to unleash insights that can help enhance customer satisfaction, boost operational efficiency, streamline supply chains and, ultimately, drive growth. For clients in industries from manufacturing to research to biotech, these insights may be hidden in terabytes of data contained in video and images. If they are understood and more

Forrester study shows how on-premises investments support hybrid multicloud strategy

Cloud computing, Insights, Modern data platforms

When hybrid cloud first emerged, it offered a new way for enterprises and organizations to use cloud technology in optimizing workloads and improving customer experience. Now it has matured into a complex ecosystem covering on-premises, private cloud, and public cloud components. IBM and Forrester recently teamed up to investigate the ways organizations develop their hybrid more

Register for the Think Digital Event Experience

AI, Big data & analytics, News

Welcome to the all-new Think Digital Event Experience! Think 2020 — the most comprehensive, can’t-miss IT event of the year — has been reimagined as a next-generation, one-of-a-kind online event delivering the best of IBM to you, wherever you are. True to Think’s mission to help you reimagine the modern world and make a meaningful more

A conversation with Thomas Taroni: data containers and availability

Big data & analytics, Insights, Linux systems

IBM Systems Content Director Jim Braden sat down recently with Thomas Taroni, CEO and Senior Software Architect of Phoenix Systems in Zurich, Switzerland. A visionary in the European tech industry, Thomas has always been a big thinker. This 3-part blog series will feature Thomas’ insights on a wide range of topics, including the future of more

Think 2020: How to update and refocus your skills

Big data & analytics, Modern data platforms, Workload & resource optimization

Disclaimer: In light of global precautions for the COVID-19 Coronavirus, and building upon recommendations from the World Health Organization, IBM is taking a new approach to signature events, including IBM Think 2020. This premier client and developer conference will now be a global, digital-first event, combining live streamed content, interactive sessions and certifications, and locally more

The Hybrid IT independence proclamation

Hybrid cloud, Insights, Modern data platforms

It’s a new year and decade — full of plans for digital business transformation. The progressive leader’s expectation from IT investment has evolved. “Better, faster, cheaper IT” isn’t compelling enough to satisfy the rising demand for new technology deployments. Anticipated business outcomes from IT transformation is the top priority. IT platform comparisons are very relevant more

Accelerate insights with SAS® Analytics on IBM® POWER9™

Big data & analytics, Power servers, Power Systems

IBM and SAS have been collaborating since the founding of SAS. We have helped businesses answer their most challenging analytics questions – quickly. IBM Power Systems™ and IBM Storage have been a critical part of that collaboration since the 90s. In addition to our current SAS on AIX solution, we are excited to expand into more

Game-changing innovation for AI and big data from IBM Storage

AI, Big data & analytics, Storage

Artificial intelligence (AI) is already a world-changing driver of business today and will increasingly be so in the future. IDC predicts that, by 2019, 40 percent of digital transformation (DX) initiatives will use AI services; by 2021, 75 percent of commercial enterprise apps will use AI, over 90 percent of consumers will interact with customer more

Storage made simple for modern data

AI, Big data & analytics, Storage

When we speak with clients, their top storage priorities are very consistent: Storing dramatically more data from novel sources, gaining new business insight and increasing revenue through the use of AI and big data technologies applied to that data. Deploying applications in Red Hat OpenShift and other container environments to help improve application and data more