DataNeuron: The AI tête-à-tête

Short description A practical, advisor-to-advisor conversation about how organizations move from GenAI pilots to real business impact: Rohit and Tapati cut through the hype to discuss fine-tuning, model-agnostic architectures, secure training and inference, traceability, and the human side of scaling AI, including reskilling, governance, and the real costs of adoption. Quick reminder (listener gift) Friends of the podcast: to claim the extra sandbox credit, email us at suryansh@dataneuron.co with the subject “Podcast listener - [Episode name]”, include your sandbox username or the email used to sign up, and a short takeaway from the podcast. We’ll verify and add the additional credits. One claim per listener; offer ends Dec 2025.

Host Rohit Adlakha - Executive Advisor, DataNeuron (Former CIO and Global Head of AI & Automation portfolio at Wipro) and guest Nitin Aggarwal speak about the latest happenings in the AI-first world, challenges in scaling domain-specific NLP use-cases using Human in the loop, Weak Supervision vs DataNeuron, Data-Centric vs Model Centric AI, Explainability, and how we at DataNeuron are solving major challenges in scaling AI within the organizations.

Host Bharath Rao and guest Rohit Adlakha (Former CIO and Global Head of AI & Automation portfolio at Wipro) speak about the latest happenings in the AI-first world, challenges in scaling AI, explainability, and bias due to the human-in-loop annotation, and how we at DataNeuron are solving major challenges in scaling AI within the organizations.