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1、State of the Art Session Oct 2024From POCs to Enterprise Adoption of Gen AI-Evolution to the Intelligent EnterpriseThis is the Next Wave of Gen AI Gartner Predictions2023 was about experimenting2024 is about trust,scale and cost2025,Gen AI will be a workforce partner for 90%of companies globally2027
2、 will see 50%of enterprises using Gen AI models specific to industry or business functionBy 2028,30%of Gen AI implementations will be optimized for sustainabilityhttps:/ AccuracyConfidence/TrustIn anAI SolutionSensibility(Makes decisions in line withHow the world/nature/Physics/culture works)Humilit
3、y(Refusing to answer,or at least reporting when itDoesnt know something)Stability(Performance will not unknowingly drift over time)Dependability(Will always produceAn output,in theRequired time frame)Robustness(Will handleUnusual or malicious Inputs well)Proven ability/accuracy(Is it good at solving
4、 the problem,As measured by tests?)Sustainability(Impact of trainingAnd ongoing use isNot harmful)Fairness(Output is not biasedAgainst any subgroup)Privacy(Will not leakSensitive data it wasTrained on)Explainability(Can it explain/justifyHow it solved the problem?)Fails gracefully(If it fails,will i
5、t fail in a Safe&sensible way?)Extrapolates sensibly(Will do something sensibleWhen confronted with unseenData beyond the bounds ofWhat it was trained on)AI that works reliablyAI that works in peoplesBest interestAI thats aligned withHuman expectationAI that worksTo Trust AI is to Scale AI Embedding
6、 quality and trust in AI systems will lead to large scale deployment and adoption.ExplorationFirst use cases identification and data experimentationDevelopmentUse cases explosion&first successesLarge Scale DeploymentContinuous improvementAI Death valley TrustFairness TransparencySustainability Quali