Крипадьюти Саркар, ИТ-директор группы компаний Ambuja Neotia

𝐓𝐇𝐄 𝐕𝐎𝐈𝐂𝐄 𝐎𝐅 𝐀𝐍 𝐄𝐍𝐓𝐄𝐑𝐏𝐑𝐈𝐒𝐄 𝐀𝐈 𝐒𝐓𝐑𝐀𝐓𝐄𝐆𝐈𝐒𝐓 Kripadyuti Sarkar, Group CIO, AmbujaNeotia Group As enterprises scale AI, data security, operational trust and continuous observability are becoming critical to ensuring reliable and responsible AI adoption. In this conversation, Kripadyuti Sarkar highlights how the use of sensitive organisational data in AI training introduces significant security risks, including data misuse, mishandling and AI hallucinations. Establishing strong security measures and guardrails is essential to mitigating these risks. He emphasises that operational trust must be built before deploying AI. Proper training data, clearly defined guardrails and robust security are essential to ensuring that operational teams can confidently rely on AI-generated outcomes. Observability also plays a crucial role in managing complex, data-intensive AI environments. It helps organisations identify breaches, trace issues and take corrective action, making continuous visibility essential for reliable AI operations. When data security, operational trust and observability work together, enterprises can build a stronger foundation for scaling AI with confidence. Watch Kripadyuti Sarkar share his perspective on data security, operational trust and observability in AI, in a conversation by ET Edge - The Times Group | CIOandLeader in association with Dynatrace & Amazon Web Services (AWS). Watch the full conversation: https://www.youtube.com/watch/EcAm5Fb... #EnterpriseAI #AIStrategy #AILeadership #DataSecurity #OperationalTrust #AIGovernance #Observability #AIatScale #DigitalTransformation #CIO #AmbujaNeotia #Dynatrace #AWS