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You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role

Harvard Business

It’s no secret that organizations have been increasingly turning to advanced analytics and artificial intelligence (AI) to improve decision making across business processes—from research and design to supply chain and risk management. Why are translators so important? What does a translator do?

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We Need to Approach AI Risks Like We Do Natural Disasters

Harvard Business

The risks posed by intelligent devices will soon surpass the magnitude of those associated with natural disasters. At the same time, the capabilities of artificial intelligence (AI) algorithms are evolving rapidly. Yet few have formally quantified the size of their revenue at risk and potential liability. Insight Center.

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The 5 Things Your AI Unit Needs to Do

Harvard Business

Not a day goes by without the announcement of the appointment of a new VP of Artificial Intelligence (AI), a Chief Data Scientist, or a Director of AI Research. While the enthusiasm is undeniable, the reality is that AI remains an early-stage technology application. Insight Center. The Risks and Rewards of AI.

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What Changes When AI Is So Accessible That Everyone Can Use It?

Harvard Business

As vice president of advanced technologies at AT&T, Gilbert wants to make AI technologies widely available throughout the corporation, especially to those who might not have a computer science background and may not even know how to program. Call it the “democratization of AI.” Insight Center.

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What Will Happen When Your Company’s Algorithms Go Wrong?

Harvard Business

Insight Center. The Age of AI. AI failures, on the other hand, are directly related to the mistakes produced by the intelligence such systems are designed to exhibit. 2015: Medical AI classified patients with asthma as having a lower risk of dying of pneumonia. What is our product or service expected to do?

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Machine Learning Can Help B2B Firms Learn More About Their Customers

Harvard Business

Much of the strategic focus in the digital economy thus far has revolved around getting better insights into consumers. But there is also an emerging capability to gain insights on business customers. And that’s where AI techniques provide can help. vincent tsui for hbr.

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Is Your Company’s Data Actually Valuable in the AI Era?

Harvard Business

AI is coming. In our experience, when business leaders ask this with respect to AI, the answer they are given is “data.” There are hundreds of articles claiming that “ data is the new oil” — by which they mean it is a fuel that will drive the AI economy. AIs are prediction machines driven by data.

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