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Effective AI implementation requires an enterprise-wide, business-centric approach with proper metrics, governance, and guardrails. Here’s how to ensure you’ve covered the key elements for success.
The CDO role is quickly evolving as companies seek to capitalize on AI and data literacy. Seven data chiefs shed light on their agendas and lend advice on succeeding in this increasingly prominent position.
With the sale of Alfabet and Cumulocity, what was once Germany’s second-largest software provider continues to shrink.
With an eye on the year ahead, CIO Miguel Abril outlines the Spanish tour operator's digital transformation strategy, and delves into key priorities to remain competitive.
Many organizations are struggling to turn the promise of AI into real business results because they lack vital integration into their workflows. Unlocking the full value of AI requires the right combination of domain expertise, accessible data, and s
In addition to broad efforts in data strategy, a large cross section of employees has attended full-time AI training to build a more vigorous workforce.
Data governance defines roles, responsibilities, and processes to ensure accountability for, and ownership of, data assets across the enterprise.
If you want to exploit the potential of your data, you need to develop a data strategy. This includes not only technology: processes, organization and culture should also be examined.
Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.
The European Data Protection Board advised national regulators to allow personal data to be used for AI training, as long as the final product doesn’t reveal personal information.
How does a global business that generates $48 billion annually without manufacturing or owning any products take growth to the next level? By becoming a platform business. Sanjib Sahoo, the technology distributor’s EVP of global technology and
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