ibm spectrum conductor

Taking the AI training wheels off: moving from PoC to production

AI, Deep learning, Power servers...

In helping dozens of organizations build on-premises AI initiatives, we have seen three fundamental stages organizations go through on their journey to enterprise-scale AI. First, individual data scientists experiment on proof of concept projects which may be promising. These PoCs then often hit knowledge, data management and infrastructure performance obstacles that keep them from proceeding ...read more


Cost-efficient high-performance new-generation IT

Data centers, Real-time analytics, Software-defined computing...

New-generation IT management systems help to increase the usable capacity of your existing data centers, without the need to add more servers. It’s not uncommon to double or triple your computing capacity delivering faster answers and greater insights at lower cost. The key is a software capability called cluster virtualization. It is common in high-performance ...read more


Simplify container management with integrated controls

Software-defined computing, Software-defined storage, Storage...

Organizations are witnessing a rapid evolution in frameworks for big data analytics such as Apache Spark and Hadoop. They are also handling ever-growing volumes of data. To help improve computing reliability and efficiency, many of these next-generation applications are being composed of microservices that run in lightweight container environments. While containers allow developers to move ...read more


IBM Spectrum Conductor: Access, analyze and protect big data

Software-defined computing, Software-defined storage, Storage...

If your organization uses data to gain competitive advantage, you’re looking to accelerate performance-intensive applications and extract full value from that data. As data volumes continue to explode in size, you’re probably asking: How do we accelerate results by rapidly and efficiently adopting next-generation analytics applications and open source frameworks such as Apache Spark? Are ...read more


Powering up Apache Spark for the enterprise

Power servers, Power Systems, Software-defined computing...

The Apache Spark community and enterprise Spark adoption have both been growing rapidly. Many enterprises are now experimenting with Spark as an in-memory engine to accelerate many common analytics workloads. However early adoption often results in individual, isolated Spark clusters as different lines of business or functional groups set up their own infrastructure to learn ...read more


Defining a new generation of software-defined infrastructure

Integrated infrastructure, Software-defined computing, Storage...

IBM has announced the next evolution of its software-defined infrastructure, designed to speed analysis of data and simplify management of distributed environments. The new IBM Spectrum Computing portfolio of intelligent resource and workload management software is built for organizations that use data for competitive advantage and need to extract full value from that data—fast. Accelerating ...read more