Maintain and support of Oracle/Hyperion's EPM suite for Essbase, Planning, Hyperion Financial Management and FDMEE. Should have experience on EPM suite build from scratch with all Hyperion components on distributed environment. Should have Proficiency in installation and configuration of Hyperion suite. Must have knowledge on end to end SSL/SSO setup with Hyperion suite. Maintain and support of Oracle/Hyperion's EPM suite for Essbase, Planning, Hyperion Financial Management and FDMEE Manage and prioritize tasks such that they are completed on a timely basis and to user's satisfaction We are the multicloud solutions experts.

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Managed cloud services company Rackspace Inc. has revealed how it's using Splunk Inc.'s data analytics software to ensure its well-oiled business processes function smoothly. Rackspace, in fact, said it's also planning to adopt Splunk's machine learning tools in the near future. Rackspace described on Wednesday how its been using Splunk's Enterprise and Enterprise Security tools to power its decision analytics engine across its security, compliance, business intelligence, application management and information technology operations. Rackspace needs Splunk because it digests almost 3 terabytes of data per day. It analyzes that data to spot things like anomalous activity in its data centers and to repair any broken processes.

The financial services industry has always been among the first sectors to embrace leading-edge information technology, so it should not come as a surprise that artificial intelligence (AI) is no exception. After all, trading firms have been taking advantage of various algorithms to programmatically trade stocks in matter of microseconds for years now. But the rise of AI does present the financial services sector with some unique challenges. Financial services firms have made massive investments in data centers to run some of the most latency-sensitive applications in the world. And yet, for AI to be accurate, the models that get constructed need access to massive amounts of data that is costly to store locally.