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There are so many technologies and trends to track — machine learning, AI, advanced analytics, predictive analytics, real-time analytics, Hadoop, Spark, other Apache Foundation projects, open source, cloud-based-as-a-service offerings, self-service, and more.

This past year was nothing to be surprised about. Many executives talk about the promise and the potential of big data. Yet there’s a sense of disenchantment as CIOs search for use-cases to inspire change inside their own companies. It’s almost as though they are all from Missouri…”show me, don’t tell me.”

2015 was a raucous year, and 2016 seems like it will be equally as loud. It’s not something that CIOs can afford to tune out. With digital transformations and pure-play startups disrupting established industries — Uber is the example everyone mentions first — the pressure is on to leverage data in new ways for competitive advantage. CIOs need to really be in  two different worlds — satisfying their existing customer base while moving fast to deliver instant, data-driven services to customers, or they risk losing ground to market upstarts. How will the modern CIO hands Big Data?

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