扎实基础的人工智能：结构化、扩展与持续创新.pdf

1、AI on Solid Ground:Structuring and Sustaining InnovationPRIYA SARATHY,PHD,CDMP,AIGPAbout Me230+years designing and scaling data-driven systems across Telecom,Banking,Fintech,Payments industryArchitected data strategy frameworks that operationalize ML responsibly at scaleI most care about:Spreading a

2、wareness and confidence in the use of AIMoving from experimentation to scalable AIEmbedding governance without slowing innovationAbout MeWorkshop FlowWhy the status quo is brokenReframing how we think about GenAI GenAI and Business ValueMeasuring GenAI ValueUse Case lets put our learning to work!How

3、 to operationalize and sustain valueAI on Solid GroundGenerative AI is the house;robust data is the bedrock upon which it stands.Without a strong foundation,even the most impressive structures will crumble.From Pilot to ProductionShift from isolated experiments to integrated,scalable solutions.Real-

4、World ImpactFocus on tangible business outcomes,not just impressive demos.Strategic ImperativeGenAI is no longer an option,but a core component of competitive advantage.The Urgency:Beyond Experimentation5Here is the thing:A staggering 95%of GenAI pilots fail to deliver measurable ROIMIT Project NAND

5、A Think about itOnly about 5%of pilots actually scale to create enterprise value.Consider this breakdown:Roughly 22%move past a Proof of Concept,but only 45%truly drive substantial enterprise valueIndustry AnalysisAnd Another kicker:88%of AI pilots fail to reach productionIDC/Lenovo Report 2025Whats

6、 holding them back?Poor data quality,a lack of clear ownership,and governance costs are consistently the biggest factors that stall most scaling effortsBain Report Facts That Reflect Industry in 20256Resetting How We Think About AIGenAI Ripple Effect:Working With AI8GenAI Ripple EffectAI completed 1