EMA Blog: Business Intelligence and IT Management

“Machine learning (ML) today is frustrating. There is so much potential and the algorithms are all there, but I just do not know how I can leverage it for my organization,” says the CTO of a major professional services firm. “My CEO wants me to ‘leverage ML to lower OPEX and differentiate our service offerings, but there is nothing out there in the market that would allow me to get this done in a manner that has a high probability of success.” Then of course he asks me what I would do and where I would start, because the guy with “Machine Learning and AI” in his job title must know for sure…

Cloud is still a rapidly evolving discipline, with currently many organizations thinking about how to get started or how to take their limited cloud environment to the next level. These organizations are faced with two general challenges. They have to a) get their own house – data center – in order and b) identify a shortlist of vendors that best fit their individual requirements.

Cloud is still a rapidly evolving discipline, with currently many organizations thinking about how to get started or how to take their limited cloud environment to the next level. These organizations are faced with two general challenges. They have to a) get their own house - data center – in order and b) identify a shortlist of vendors that best fit their individual requirements.