Convergence roadmap and model requires both an architecture (outlined above) and a day-to-day component. For converged infrastructure to work in practice, "context-sensitive visualizations" need to be in place for a CIO's team to manage against. Design and white boarding helpful (to get started and to establish framework), but the"right route" happens day-to-day, over time. --Paul Calento
For Big Data to fully take hold, there needs to be a path to creating value, either from what you already have, what you can (easily) collect and where others are already finding beneftis. As for impact, it will be two-fold: 1.) creating differentiated revenue opps in competitive markets; 2.) forcing the already-in-process collaboration between IT and business. That said, learnings from the cloud computing transition can be applied to the Big Data revolution.
I think this prediction is made based on flawed data ... specifically comparing marketing and technology budgets. I do not think that CMOs will be responsible for spending more on tech than CIOs. For instance, consider a leveraging an organization's data already collected (see HP blog) as part of a Big Data strategy. A CMO may not know what's available ... but he CIO knows what's been collected and where. --Paul Calento
CIO.com reports that General Motors is hiring for 500 IT positions for their innovation center in Austin, TX. This is part of an initiative to hire as many 10,000 IT pros over the three to five years. (note: I found this article from a Tweet from Neil Pierce (@neiljpearce), head of IT at Vodafone.)
What do you need to successfully transition from a virtual environment to cloud?
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