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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

Why not pick up a book that will inspire you to be a more effective leader, help you spot challenges and pitfalls in your IT strategies and processes, or prepare for the future of information technology? In the book, he examines robotics, AI, cybercrime, genomics, big data, and more. “It Looking for your next read?

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Cloud technology and innovation drives data-driven decision making culture in any organization. Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. Cloud washing is storing data on the cloud for use over the internet. The rest is history.

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What is a chief data officer? A leader who creates business value from data

CIO Business Intelligence

The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO.

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A CDO’s Guide to the Data Catalog

Alation

In 2002, Capital One became the first company to appoint a Chief Data Officer (CDO). Early CDOs largely sought to ensure compliance with regulations around financial data, taking a defensive posture to guard company and customer information. Today, the modern CDO drives the data strategy for the entire organization.

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Scaling AI? First—get your data storage right

CIO Business Intelligence

As the general manager of the Oakland Athletics, Beane used data and analytics to find undervalued baseball players on a shoestring budget. In 2002, his data-driven baseball team achieved a 20-game winning streak and the American League West title, competing against franchises spending over twice as much recruiting players.