Why companies need artificial intelligence explainability
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Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.
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Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.
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Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.
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Most companies comprehend the impact data has on business strategy. Fewer understand how to convert data efforts into monetary value.
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Organizations need to create a culture in which all employees see data as their business.
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Decontextualize data and prepare data assets that can be reused for many purposes. A new book from MIT CISR researchers explains how.
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Sharing data within a company is vital to creating value. Curated content, designated channels, and repeatable controls are the ways to achieve "data sharing 2.0."
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Companies like Fidelity Investments are creating data assets that are integrated, easily consumable, and ready to be monetized.
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Five steps toward a critical mass of directors who understand.
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Companies need a plan for when employees use unapproved, publicly accessible generative artificial intelligence tools for work-related tasks.
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Companies whose board members are digitally savvy outperform other companies in areas like revenue growth, return on assets, and market cap growth.