In this episode of the AI Monetisation Podcast, Anita Luthra, Global Technology Director of AI and Cloud Labs at HCLTech, joins Co-founder Binny Mathews to explore one of the most overlooked challenges in enterprise AI: systemic bias and its multi-billion dollar impact.Guest Background: A veteran in AI architecture, Anita has led major transformations at JPMorgan Chase, IBM, and now HCLTech. She pioneered the first Watson solution integration at IBM and is a recognized speaker on hallucination and bias in AI, recently featured at the Worldwide AI Summit.What’s Inside?The trillion-dollar blindspot: How bias infiltrates AI training data and algorithmsReal-world implications: Personalization failures and reduced efficacy for diverse usersPractical strategies: Detecting and mitigating bias through data, model tuning, and governanceGovernance in AI: Why accountability lies with every member of the development lifecycleContrarian AI thinking: Why small models might hold the key to scalable, equitable solutionsKey Takeaways:1. AI models reflect the societal and demographic imbalances present in their training data2. Personalization without representation can lead to massive financial and brand risks3. Bias correction must start early at data selection, architecture, and prompt engineering levels4. Responsibility for bias mitigation cannot lie with a single team or function5. Enterprises must rethink traditional hiring and development mindsets to stay relevant in the AI eraThis episode is essential listening for enterprise leaders, AI engineers, and product owners looking to build fair, inclusive, and commercially successful AI systems in the real world.For full show notes, visit- https://bit.ly/44d07QhProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/44JxR7W
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