Pratibha Kumari J.

"Ethical AI isn’t a destination – it’s a discipline." As AI systems become increasingly embedded in more decision-making processes, governance shifts from a compliance requirement to a strategic advantage. In a recent interview with CMR, Ashish Heda (Data Science Technology Partner at Tiger Analytics) shares his perspectives on the evolving practice of Ethical AI, diving into: ⬩ Mitigating bias across the AI lifecycle ⬩ Balancing performance and explainability in regulated industries ⬩ The need for robust data privacy frameworks ⬩ Cultural shifts for responsible AI adoption ⬩ Emerging technologies like LLMOps, AgentOps, and AIOps For leaders at the intersection of AI, governance, and impact, the interview offers practical insights on what’s next for intelligent systems and how to get there responsibly. Read the full article: https://lnkd.in/gcNeP4fc #EthicalAI #AIGovernance #ResponsibleAI #BiasInAI #DataPrivacy #TigerAnalytics #LLMOps #AgentOps #EnterpriseAI

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Enterprises have moved from AI curiosity → AI committees → real AI adoption. Khadim Batti (Co-founder & CEO of Whatfix) explains how CIOs and large companies are: ✔️ Building AI task forces ✔️ Running low-risk AI pilots ✔️ Preparing for wide adoption in the next 12–18 months 🎙 Watch the full episode here: 👉 YouTube: https://lnkd.in/dbGPmvQC  🎧 Listen on Spotify: https://lnkd.in/dyZk4g7g  Apple Podcasts: https://lnkd.in/dJWiUsQt #AI #ArtificialIntelligence #EnterpriseAI #DigitalTransformation #SaaS #EnterpriseSoftware #AIAdoption #PrimeVenturesPartnersPodcast

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The definition of engineering excellence is evolving in the age of AI. Engineers today aren’t just solving problems, they’re building and governing intelligent systems shaping India’s Techade. As enterprises move from experimenting with generative AI to scaling agentic AI, new roles are emerging: AI Trainers integrating AI into systems, and Ethics Officers ensuring fairness and accountability. The future of tech will be driven as much by human oversight as by algorithms. Dr. Pavankumar Gurazada, Ph.D., Associate Director–AI/Data Science at Great Learning, shares his perspective on how AI trainers will be powering India’s next-gen deep tech innovation. Read the whole article: https://lnkd.in/gQi5ZM2c #GreatLearning #PowerAhead

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AI is the edge, but too many pilots stall, models don’t scale, and insights come too late. The issue? Not the model. It’s the data foundation. Join Dan Anamitra, Sr. Director – Data Engineering & Analytics at Innominds, as he shares how enterprises move beyond reactive pipelines to AI-ready, governed platforms. Register Now : https://lnkd.in/gMjkWfDH Date: 3rd September 2025 Time: 9:30 PM – 10:30 PM IST | 12:00 PM – 1:00 PM EST | 9:00 AM – 10:00 AM PST Webinar: From Motley Data to AI Direction: Engineering the Backbone for Enterprise Intelligence Key takeaways: ➡️ Ingest, process, and act on data in real time ➡️ Support copilots, LLMs and autonomous systems at scale ➡️ Modernize legacy systems without starting over ➡️ Enable responsible frameworks with governance and compliance ➡️ Drive outcomes with event-driven, cloud-native platforms ➡️ Explore enterprise success stories in AI adoption #AITransformation #GenAI #DataEngineering #LLM #EnterpriseAI #AIInfrastructure #ModernDataStack #RealTimeData #DataGovernance #DigitalTransformation #CloudData #Innominds #DigitalTransformation #Webinar #DataScience #AI

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