Rick Janowski

Meeting the data needs of artificial intelligence

AI, Deep learning, Disk storage...

Artificial intelligence (AI) is playing an increasingly critical role in business. By 2020, 30 percent of organizations that fail to apply AI will not be operationally and economically viable, according to one report[1].  And in a survey, 91 percent of infrastructure and operations leaders cite “data” as a main inhibitor of AI initiatives[2]. What does ...read more

An optimized platform for big data and machine learning

Big data & analytics, Deep learning, Power servers...

For organization leaders seeking to deploy the most efficient platform for big data analytics, machine learning, deep learning and cognitive applications, IBM and Hortonworks have partnered to certify IBM Spectrum Scale with Hortonworks Data Platform (HDP) on x86 servers. This adds to previous certifications for IBM Spectrum Scale and HDP on IBM Power servers. IBM ...read more

Goldilocks finds that secure cloud bursting is just right

Software-defined computing, Storage, System software...

In the world of IT, it is difficult to accomplish the Goldilocks balance of getting things “just right,” rather than having too few computing resources or too many. It’s easy to say you can never have too much compute power, but the reality is that there is always a tradeoff and any money saved on ...read more

Amp up your Spark: three keys to successful deployment

Integrated infrastructure, Storage, Workload & resource optimization

Today, the advantages of an integrated nationwide electricity infrastructure are obvious.  But in the early days of electrical power in the late 1800s, electricity was available only through small, isolated networks.  AC and DC grids competed with one another. This mishmash of isolated systems was costly, inefficient and inflexible. Now IT directors are often faced ...read more

6 must-haves for making Apache Spark live up to the hype

Software-defined computing, Storage, System software...

What’s driving the viral growth of the cluster-computing framework Fortune calls the “Taylor Swift” of big data software? Performance. Enterprises able to harness Apache Spark can run critical analytic applications up to 100 times faster than before. Once deployed, the framework helps organizations make crucial decisions rapidly as they process ever-growing volumes of data needed ...read more

Don’t Be a Big Data Dinosaur

Software-defined computing, System software

Putting big data analytics to work is not an event, it is a process. And it is a process that is constantly changing. It’s important to be aware of the ways in which that change could leave your organization behind if, like a dinosaur, it does not evolve to keep up. There are very few ...read more

Spark Summit 2015: Is Spark the real deal for enterprise environments?

Software-defined computing, System software

If you are wondering whether Spark is “for real” as an enterprise solution, the Spark Summit 2015, held recently in San Francisco, strongly suggested that we will be seeing a lot more of it in enterprise environments in the coming months. ...read more

Struggling with costly grid infrastructure silos? Here’s a solution.

Software-defined computing, System software

IBM® Platform™ Symphony V7.1 is helping address challenges with several new capabilities, including its latest add-on product—IBM Platform Application Service Controller for Platform Symphony. ...read more