Apache Spark

Watson Machine Learning Accelerates AI on IBM Power Systems

Machine learning, Power servers, Power Systems

New Accelerator drives up to 46x faster[i] machine learning training compared to competitors Enterprise leaders looking to drive business value from artificial intelligence (AI) require an infrastructure composed of AI-optimized hardware and software that breaks performance barriers while also delivering AI insights when, and where, they want them. And while the potential of AI to ...read more


PowerAI Enterprise joins the Watson Family

AI, Cognitive computing, Deep learning...

At IBM Think this year we are excited to announce the next natural step in the evolution of the PowerAI portfolio as PowerAI Enterprise joins the Watson family. Cognitive applications and workloads like AI, machine learning and deep learning are of key strategic importance to our clients and an area of strategic investment within IBM. ...read more


Are you making the best of your Spark environment?

IBM Systems Lab Services, Power servers, Power Systems...

All companies are in the data business now. By empowering your organization to make data-driven decisions at a high speed, with optimal resource utilization, IT will soon become the data hero that helps shape the future of the business. Organizations from varied spheres are thus enthusiastic about 21st-century data science. “Big data” solutions have been ...read more


Looking into the future of IT: Will AI rule the world?

AI, Cognitive computing, Deep learning...

In the first part of this “future of IT” series, I posed the question: What will IT look like a decade from now? To begin the conversation, I outlined the three major segments of IT — procedural IT, statistical IT and machine learning IT — noting that machine learning will see the most growth in ...read more


The fabric of big memory

Big data & analytics, Flash storage, Modern data platforms...

Technologies as diverse as Apache Spark, SAP HANA and NoSQL databases all share a common architectural feature – the use of in-memory data stores. Moving data sets from traditional storage media into memory can dramatically reduce system latency and increase application performance. These data sets are growing ever larger, however, leading to requirements for what ...read more


The future of IT: Keep an eye on machine learning

AI, Big data & analytics, Deep learning...

What will IT look like a decade from now? We’ve seen enormous growth in big data and analytics in the past decade, and this area of technology will continue to transform how business is done. Not just that — but machine learning breakthroughs will bring new ways of analyzing and using that data. To start ...read more


IBM Spectrum Computing at SC17

AI, Deep learning, Government...

Imagine the possibilities… Exponential growth in supercomputing clusters, the scaling of complex applications and the convergence of big data is pushing high-performance computing (HPC) to new limits. Make the most of your HPC environment and the technology that is driving the next generation of AI-focused workloads with IBM Spectrum Computing solutions. IBM Spectrum Computing delivers ...read more


Analyzing data at the source for faster insights

Banking & finance, IBM Systems Lab Services, Industry...

Data is ever increasing, and organizations are looking for ways to harness and glean insight from that data. But to do so, they need fast, powerful analytics tools. If the majority of your data is on the IBM Z mainframe, IBM Open Data Analytics for z/OS can now help you gain analytic insights at the ...read more


NVIDIA GTC deep learning dispatch: Day 2

OpenPOWER, Power servers, Power Systems

Day two of NVIDIA’s GPU Technology Conference has wrapped, and the excitement around deep learning and PowerAI continues to grow. In a lot of ways, the evolution of GTC (focusing on data-intensive computing and HPC to accelerated computing to deep learning) mirrors that of IBM. IBM earned its pedigree in the realm of HPC computing, ...read more