MLDS speaker · 2026
Abhishek Singh
VP - Data Science and AnalyticsAditya Birla Group
About Abhishek Singh
Abhishek Singh is a seasoned Data Science and AI/ML Leader with deep expertise in building and scaling advanced analytics, machine learning, and artificial intelligence solutions for enterprise environments. He currently leads data-driven initiatives at Aditya Birla Group, where he drives high-impact projects in predictive modeling, optimization, and strategic insights that unlock business value across functions. With a strong foundation in both applied analytics and organizational leadership, Abhishek has built cross-functional teams and frameworks that bridge research and operations, fostering data-informed decision-making at scale. His work spans machine learning engineering, large-scale data platforms, and business intelligence, with a track record of delivering measurable results in complex industrial and commercial settings. Abhishek holds advanced credentials in data science and analytics and is actively involved in the broader AI/ML community, regularly sharing insights on emerging trends, ethical AI practices, and scalable model deployment. Based in Bengaluru, he engages with technical and business audiences to demystify AI and advocate for responsible, high-impact use of machine intelligence. He is known for his ability to translate complex analytical challenges into strategic solutions and for mentoring the next generation of data practitioners.
1 edition on the MLDS stage · 1 session on record

Talks at MLDS
Sessions from the MLDS agendas, newest first.
MLDS 2026
Bengaluru
26–27 Mar 2026Mar 26, 2026 · 14:55–15:15 · Hall 3 · Bengaluru
Tech TalksBuilding AI-First Operating Models
Building AI-First Operating Models explores how organizations can move beyond isolated AI initiatives to embed intelligence at the core of their operating model. In this session, Abhishek Singh shares a practical and strategic view on designing AI-first enterprises where data, models, and decision intelligence are tightly integrated into everyday workflows. The discussion will cover the shift from traditional automation to AI-led orchestration, key principles such as data readiness, scalable AI infrastructure, human-in-the-loop governance, and cross-functional collaboration, along with real-world examples of how AI-first models are driving measurable impact across operations, customer experience, and decision-making. Attendees will walk away with a clear framework to transition from experimentation to enterprise-scale AI adoption and build resilient, future-ready operating models.
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