Spark

Introducing Spectrum Storage for AI with NVIDIA DGX for deep learning

AI, Cloud object storage, Deep learning...

Artificial intelligence, machine learning and deep learning projects are happening in every industry and research team across the globe. According to IDC[1], by 2019 40 percent of digital transformation 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 support ...read more


Top IBM Power Systems myths: Linux on x/86 is different from Linux on Power

IBM Systems Lab Services, Linux on Power Systems, Linux systems...

There are many misconceptions about IBM Power Systems in the marketplace today, and this blog series is all about dispelling some of the top myths. In the last post, I put aside the myth that IBM Power Systems has no cloud strategy. In this post, we’ll look at a myth that has been propagated by ...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


IBM unveils new software for AI, machine and deep learning

AI, Cloud computing, Data centers...

IBM Spectrum Software helps ease adoption and production of parallel processing and clustered computing IBM is announcing new software to deliver faster time-to insight for high performance data analytics (HPDA) workloads, such as Spark, Tensor Flow and Caffé, for AI, machine learning and deep learning. Based on the same software which will be deployed for ...read more


Artificial intelligence is coming: Are you ready? (Part 2)

AI, Deep learning, IBM Systems Lab Services...

In part 1 of this blog series, I set the stage with how artificial intelligence (AI) has transformed in recent years and outlined an approach to build an AI strategy. Now, let’s look at data transformation, training techniques and subsequent steps in the AI journey. Data transformation and training techniques for your AI strategy Here ...read more


IBM at DataWorks Summit: The future of data science

Cloud computing, Hybrid cloud storage, Power servers...

Marketplace disruptors have one thing in common: data science. Data science is the process of discovering hidden insights from massive amounts of structured and unstructured data, using methods such as machine learning, data mining and predictive analytics. This multi-disciplinary approach is changing the way organizations solve problems and gain competitive advantage. Join IBM at the ...read more


Hands-on experience with the IBM z Systems Trial Program

Hybrid cloud, Mainframes, Software

As I work with clients who are considering purchasing enterprise software, they are often challenged with quickly accessing and testing the software. Multiple steps are required, from download to installation and configuration, and many times multiple people need to be coordinated (like the people in operations, database administrator (DBA), systems programmer, application developer and so ...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


Intelligent infrastructure for the cognitive era at IBM Edge 2016

Organizations spanning industry sectors are rushing to embrace the transformative power of cognitive computing. It enables them to gain valuable insights that can lead to advanced outcomes—everything from outthinking the competition to giving society the ability to solve our most pressing problems. For example, Coca-Cola Bottling Co. Consolidated (CCBCC) uses cognitive technology to improve the ...read more