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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Launching artificial intelligence initiatives can be a daunting task. Start with these five data monetization capabilities.
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Should you pay up? Here are five things to consider when you’re hit with ransomware, according to a Secret Service cyber investigator.
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Data breaches are increasingly likely. A look inside one data breach emphasizes the importance of having a plan, being guided by transparency, and using two-factor authentication.
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Employee analytics are being used by organizations in new ways. A focus on dignity improves data management and reinforces leaders’ respect for workers.
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Successful chief data officers shift the narrative away from the risks of data sharing to the risks of not sharing.
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A new report offers solutions to the problems that hound social media, from the spread of misinformation to the lack of competition.
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Subscriptions and identify verification are just two of the ways social media companies could stem the tide of inflammatory and inaccurate content.
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Third-party data is out there to find and use. To make external data work for your firm, vet it carefully and make it part of a centralized data strategy.
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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."