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Business, social network apps belong together
Social and business apps need to merge. But does anyone know how that's going to happen?
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MORE HIGHLIGHTS
IT's role in need of a spoonful of courage
If CIOs are to remain relevant and strategic, they need to teach their IT teams the lingua franca of business.
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It's time to rebrand the IT job description
As businesses go digital, technology expertise is needed more than ever. The question is how to do that in a way that doesn't alienate the business.
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How much is data privacy worth? Depends who's asking
This week, Searchlight focuses on data privacy issues including privacy expectations, Google's ironic stance on 'big data' and more.
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Data discovery lessons from Facebook
Data discovery lessons from Facebook
Email Alerts
CIO Innovators: A 2012 Azbee Award-Winning Series!
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Rainmakers: Three CIOs who made revenue generation t...
CIOs know alignment with the business is vital, but as IT emerges as a center of innovation, smart CIOs are taking charge of revenue generation.
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Ezine
Are Multi-Hypervisor Environments Worth It?
Are multi-hypervisor environments the right solution to virtualization oligarchy? Find out in the latest issue of CIO Decisions ezine.
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Slideshow
Sports analytics and the CIO: 5 ways to win at data
Sports analytics hit the court at the MIT Sloan Sports Analytics Conference. So, what lessons does this influx of sports data hold for CIOs?
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How much is your data privacy worth?
If the government sent us discount coupons would we feel differently about their data collecting “habits”? This week the Searchlight looks at a few of the many, many opinions and players currently sharing the data privacy stage. Now that the cat we all knew existed is out of the bag, what do we...
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More blog posts
CIO Videos
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Featured Topic
According to a recent survey, CIOs are warming up to PaaS solutions.
In this featured piece, former CIO and current CTO Mario Cruz explains why he is a convert.
It's time for CIOs to abandon fear and embrace PaaS solutions -
Big Data News
The mathematical formula, Bayes' Theorem, can be employed to tackle big data through:
- -Acknowledging bias
- -Probability
- -Trial and error