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    2. Preparing Data for AI

      Preparing Data for AI

      Case Studies

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      Examining physician notes identified social determinants of health, helping improve both quality of care and costs.

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      A global consumer-goods client now has an automated way to syndicate product data to its 500 ecommerce partners.

      image of a woman typing in a credit card number to make an online purchase

      $5-$7 million improvement in credit card collections shown by identifying causal factors of cardholder payments.

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      Fast-food chain reduces drive-through order time by 10% and improves decision-making, staffing and marketing.

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      A P&C insurer now reviews 8,000 customer service calls per month, slashing supervisor review time by 35%–40%.

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      An electric utility is using AI image analytics to quickly identify maintenance issues, reducing outages and costs.

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      A biotechnology company better understands factors in patients following or abandoning medication regimens.

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      A large healthcare organization alerts for drug-seeking behaviors, combatting prescription drug dependence.

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      Cross-referencing research data speeds drug development and lowers clinical trials cost.?

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      A top global insurance company used data to identify $3.3 billion in insurance opportunities with 83% accuracy.

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      A large health network identified and recommended appropriate solutions to improve interactions and satisfaction.

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      A global professional services company, reducing researcher time 14%, boosted reports output 30%.

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      A global reinsurance company has improved underwriting efficiency, reduced time and increased acceptance rates.

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      A major bank’s check fraud system processes 1,200 checks per second and saves the bank $20 million annually.

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      A major mining company optimized employee housing and transportation management, saving $4 million per year.

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      A leading regional utility is using a virtual assistant to automate customer research to better inform its sales team.

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      A major pharmaceuticals company has reduced clinical oncology trials by 3-4 years and saved 10% in patient costs.

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      A global mining company increased transportation throughput by 8% and reduced annual capital costs by $30 million.

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      A global life sciences company migrated 150TB, reduced data-hosting costs by 95% and saved the company $3.6 million/yr.

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      Learn how these 21 organizations improved their profitability and decision-making with artificial intelligence.

      Preparing Data for AI Videos

      video

      Putting Humans at the Heart of AI

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      The Role of Human Emotion in Decision-Making

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      Conversational AI—New Interfaces & Applications of Voice Interaction

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      How Can Businesses Create Value Using AI

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      Dr. Jerry Smith Speaks About AI Bias and the Nuances of Human Behavior

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      The Importance of Governance in an AI World | Making AI Effective

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      Don't Let Humans Harm AI | Making AI Effective

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      How to Avoid Failures in AI | Making AI Effective

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      Building and Running AI Ethically | Making AI Effective

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      The Road to Responsible and Effective AI | Making AI Effective

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      Uncovering the Hidden Jewels | Making AI Effective

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      Driving Business Results Using AI | Making AI Effective

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      Injecting Data Science Into the Value Chain | Making AI Effective

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      AI Is More Than Picking a Platform | Making AI Effective

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      What Is Data IQ and Why Is It Important? | Making AI Effective

      video

      What Is Surrogate Modeling? An Evolutionary Computation Technique

      video

      What Is Evolutionary Computation

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