赞助商：Qlik 将数据转化为业务影响：如何在 Databricks 上构建支持 AI 的可信数据产品.pdf

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1、Turning data into business impactHow to Build AI-Ready Trusted Data Products on DatabricksSharad Kumar2025Increasing momentum around AIFrom Predictive AI to Agentic AI4Market EvolutionDescriptiveUnderstanding historical and present data to drive business decisionsPredictive AIMakes decisions,plans a

2、ctions,and learns from its experiencesGenerative AIProduces newly synthesized content,based on training from existing dataAgentic AIMakes decisions,plans actions,and learns from its experiences90%of businesses utilize thisMost business analytics falls in this categoryThis“analytical”form of AI remai

3、ns a huge value creator!50%of use cases in 2025175%plan to use or invest in next 2 years2GenAI is powerful but not the answer to every use case!This emerging tech will augment humans,not replace!In33%of enterprise applications by 202831”Predictions 2025:Artificial Intelligence”,Forrester(Sept 2024),

4、2IDC FutureScape Worldwide AI and Automation 2025 Predictions(Dec 2024),3”Intelligent Agents in AI Really Can Work Alone.Heres How.”,Gartner(Oct 2024)Few AI solutions have made it into production5Why do 80%of AI projects fail?Bad dataWrong AINo valueComplexityGarbage in,garbage outScience project vs

5、.business projectLong and complicated buildsA lack of trusted data foundation will lead every project down the path of failure,even when you get everything else rightThrowing GenAI at every use caseOnly26%realized value in 2024Source:“Wheres the Value in AI?”,BCG(October 2024)No ROIBad modelsInvest

6、in getting your data foundation right6Majority of organizations anticipate increasing their spending on data readiness for AI over the next year30%64%5%1%0%Increase significantlyIncrease somewhatNo changeDecrease somewhatDecrease significantly 90%Source:Informa TechTargets Enterprise Strategy Group