Suvodip Chatterjee is the Global Head of AI, Data Science & MLOps at Signify, where he leads global teams across Data Science, ML Engineering, and MLOps to drive enterprise-scale AI transformation. With nearly two decades of experience spanning analytics, artificial intelligence, machine learning, and digital transformation, he has held leadership roles at Signify, Apexon, BRIDGEi2i, [24]7.ai, Dell, Hewlett-Packard, and Genpact. At Signify, Suvodip is responsible for the strategy, solutioning, and productization of advanced AI solutions, with a focus on scaling business impact through responsible and operationalized AI. His work spans areas such as predictive analytics, optimization, Generative AI, Agentic AI, and intelligent automation. A passionate advocate for responsible AI and innovation, Suvodip regularly collaborates with business leaders, technology partners, and AI practitioners to translate emerging technologies into measurable business outcomes. He is particularly interested in the intersection of Agentic AI, enterprise transformation, and the future of human-AI collaboration.

Ravi is an AI engineering leader and entrepreneur with expertise in building enterprise-scale AI, Generative AI, and machine learning platforms. As Deputy Vice President of AI Engineering at IndusInd Bank, he leads AI engineering within the AI Center of Excellence, driving production-grade AI adoption across the organization. Previously, he held AI leadership roles at Piramal Finance, delivering large-scale AI and digital transformation initiatives across financial services. Earlier in his career, Ravi co-founded AI startups, gaining hands-on experience in building AI products, scaling engineering teams, and taking innovation from concept to market. His expertise spans LLMs, AI platforms, MLOps, cloud architecture, and intelligent automation. Ravi is passionate about bridging cutting-edge AI research with enterprise execution, helping organizations transform AI into measurable business outcomes while building the next generation of AI-first platforms.

Utkarsh Sawant is Head of Cyber Strategy at Diageo, where he leads the organization’s cyber strategy & risk, helping ensure that security investments and technology transformation initiatives are aligned to business outcomes.

With over 15 years of experience in cybersecurity, risk management, cloud security, and digital transformation, Utkarsh works closely with technology and business leaders to assess emerging risks associated with AI, cloud platforms, data, and enterprise ecosystems. His focus is on enabling innovation while maintaining appropriate governance, resilience, and trust.

At Diageo, Utkarsh is actively involved in evaluating the security, risk, and governance implications of Generative AI and Agentic AI adoption, helping the organization scale AI capabilities responsibly across enterprise use cases. He brings a practical perspective on balancing innovation with control frameworks, measuring business value, and building stakeholder confidence in autonomous AI systems.

Jayaram K is a senior Digital Transformation and AI leader with over 20 years of experience spanning banking, insurance, reinsurance, consulting, and technology. He currently serves as Vice President – Digital Studios & Innovation at Mashreq, where he leads enterprise-wide AI and GenAI initiatives focused on business value realization, operational resilience, regulatory confidence, and digital modernization.

Throughout his career, Jayaram has successfully delivered large-scale transformation programs, operating model redesigns, intelligent automation initiatives, and strategic growth programs across highly regulated global organizations. His experience includes leadership roles at Mashreq, Swiss Re, Accenture, Cisco, HP, and KPMG, providing him with a unique perspective on the intersection of business, technology, risk, and innovation.

A strong advocate for responsible AI adoption, Jayaram works closely with business, compliance, risk, and technology leaders to translate emerging technologies into scalable enterprise capabilities. His current areas of focus include Generative AI, intelligent advisory platforms, automation, customer experience transformation, AI governance, and value realization frameworks.

Having worked across international markets, including an assignment in Zurich, Switzerland, Jayaram brings a pragmatic and business-focused perspective on how organizations can move beyond experimentation to achieve measurable outcomes from AI and GenAI investments.

Sivalingam Loganathan is a passionate engineering leader dedicated to building innovative software systems and fostering high-performing engineering teams. Based in Bengaluru, India, he currently serves as the Director of Engineering at Uber, where he previously served as a Senior Engineering Manager heading engineering efforts for Taxis, Autos, Motos, Fleets, and 3P Mobility Demand.

Prior to Uber, Sivalingam spent over four years at Amazon as a Software Development Manager and Engineer. There, he successfully led energetic teams to build reliable and scalable systems for the Amazon Fulfillment Technologies, helping the company stay ahead of growing worldwide demand.

His extensive technical background spans more than two decades, featuring impactful roles as a Principal Engineer at NewNet Communication Technologies, a Senior R&D Engineer at Nokia, and a Software Engineer at IBM. He specializes in software design, development, and security, with notable expertise in C++, Unix, and Object-Oriented Analysis and Design (OOAD). A Certified Scrum Master, Sivalingam holds a B.Tech in Chemical Engineering from the National Institute of Technology Tiruchirappalli.

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.

Dr. Anusuya Kirubakaran is a renowned AI leader with over 18 years of experience in analytics and data science. She has pioneered enterprise-scale implementations across the financial sector, driving transformation in risk management, compliance (AML), customer analytics, procurement optimization, and operational efficiency. Her work consistently embeds responsible AI practices such as fairness, transparency, and auditability throughout the lifecycle.

She leads the Data Science and Innovation team at HSBC, spearheading adoption of advanced Machine Learning, Natural Language Processing, Generative AI, and Agentic AI solutions to address high-stakes challenges in global banking and financial markets. Under her leadership, AI models deliver measurable business outcomes while aligning with governance and regulatory frameworks.

Her groundbreaking contributions have earned her multiple accolades, most notably the prestigious 40 Under 40 Data Scientist Award, recognizing her as one of the most influential young leaders shaping the future of AI. She has also been honored as a Visionary AI Leader, AI Change Maker, and among India’s Top 50 Trailblazers in AI.

Beyond implementation, Dr. Kirubakaran actively represents thought leadership at global conferences, mentors emerging talent, and drives innovation programs, positioning her as a transformative force in the AI and finance landscape.

Sreejith K R is a passionate technology leader and the author of the book Super App Part 1 The Fundamentals. With over a decade of experience in software development, he has worked with multiple organizations and industry veterans, gaining deep insights into modern engineering practices.

His experience across diverse projects and organizations has helped shape a strong technical perspective and a thoughtful approach to solving complex problems in today’s evolving technology landscape.

Sreejith believes in continuous learning and strives to achieve intellectual maturity in software engineering. He actively advocates collaborative learning among developers, believing that shared knowledge and collective intelligence are key to building better systems and staying ahead in an era of intelligent machines.

Anurag Chaudhuri is a distinguished AI leader and enterprise technology strategist recognized for building scalable, production-grade artificial intelligence systems that drive measurable business impact. With over a decade of experience across e-commerce, fintech, edtech, and enterprise technology, he has championed the transformation of AI from isolated innovation into a foundational business capability.

Currently leading AI platform initiatives at Flipkart, Anurag focuses on democratizing access to AI across organizations through platform-first architectures that enable scalability, agility, and enterprise-wide adoption. His expertise spans composable Generative AI platforms, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and AI infrastructure designed for continuous evolution and operational excellence.

Dr. Anand Mahalingam is a distinguished AI leader and innovator with over two decades of handson experience in the Information Technology and Data Science (AI/ML) domain. As the Vice President and Head of Data Science at Go Digit General Insurance, he is at the forefront of leveraging cutting-edge digital technologies, including Artificial Intelligence, Machine Learning, Deep Learning, NLP & Gen AI to drive significant business transformation. A recognized expert in the field, Dr. Anand Mahalingam has a proven track record of developing and implementing impactful AI products across a diverse range of industries, including FinTech, Telecom, and Healthcare. His passion lies in using technology to radically improve business processes, enhance operational efficiency, and redefine the customer experience. Dr. Anand Mahalingam is not only a practitioner but also a thought leader. He is a published author of numerous research papers in national and international journals and has been a peer reviewer for prestigious IEEE journals. He is a sought-after keynote speaker and panelist at leading AI industry forums, where he shares his insights on navigating the complexities of digital transformation and building high-performance data science teams. With extensive experience leading multicultural teams and a strong foundation in modern methodologies like Agile, Scrum, and Design Thinking, Dr. Mahalingam is uniquely positioned to provide a global perspective on the future of AI.

Mr Das currently serves as the Senior Executive Vice President and Head of Digital Transaction Excellence Unit. He brings over brings over 30 years of extensive expertise in IT and banking, having held strategic leadership roles at Axis Bank, Tata Consultancy Services, Siemens Nixdorf Information Systems Ltd and Tata Elxsi.He has a proven track record in business acquisition, P&L management, driving digital convergence and leading digital transformation initiatives. At Bandhan Bank, He oversees Corporate Transactions and Solutions, Government Solutions, Payment Products and Platforms, Retail Digital Banking and Fintech Partnerships.

Poorna currently Leads of AI at Jio, he has experience of leading AI strategy and drives intelligent systems at massive scale. He has architected and developed cutting-edge AI frameworks, built hyper-personalized recommendation engines processing petabytes of data, and designed autonomous forecasting and multi-agent optimization systems powering large-scale digital operations.

Before this, he held the role of Director at PwC, delivering high-stakes digital transformation in audit – including computer-vision based fraud detection grids and GenAI-powered auditor intelligence systems.

Across his career at VMware, EY, and SAP Labs, he has engineered foundational enterprise AI platforms, real-time personalization engines, financial forecasting systems, conversational AI stacks, and next-generation Industry 4.0 solutions. He is also a former SAP TechEd speaker, a strong innovation evangelist.

An alumnus of BITS Pilani, he has earned the prestigious EY Artificial Intelligence Gold Award and is recognized for shaping modern AI strategy, scalable architectures, and responsible AI adoption across enterprises.

A seasoned Technology and Data Product Leader with over 20 years of experience, focused on driving enterprise transformation through innovation, AI-led product strategy, and scalable technology execution. With deep expertise across Payments, FinTech, and Supply Chain ecosystems, they specialize in building high-impact data products spanning Risk, Identity Solutions, Fraud Prevention, Enterprise Analytics, and AI alignment.

Known for translating vision into measurable outcomes, they have led complex digital transformation programs, delivered revenue-generating MVPs, infused Agentic AI into workflow design, and executed large-scale product initiatives that elevate customer experience and accelerate business growth. Their approach combines rapid technology adoption with strong business alignment to create sustainable competitive advantage.

An AI leader with 20+ years of experience driving AI transformation across manufacturing, banking, and retail. Proven track record of building AI portfolios from scratch and delivering measurable business impact through end-to-end automation. Currently at CBA, enabling enterprise-wide adoption with significant improvements in speed, efficiency, and risk reduction through advanced AI systems including GenAI and Agentic AI.

Sheela received Engineering (2000) from RVCE, Bengaluru, MS (2002) and PhD (2006) from University of Texas at Arlington, USA, with major in Machine Learning and Optimization.

Dr. Sheela is recognized as one of the

• Top 10 Data Scientist in India, 2020 by the AIM
• Top 10 Women Technology Leaders, 2021, Reva University along with Terralogic
• Top 100 AI Makers, 2022, 3AI
• Data Science Professional of the year, 2023, Data Summit, UBS forums
• Global Women Leader 2024, World women leadership congress
• Indira Women Achiever Award, 2024, Indira Group of Institutes
• Most Influential Data Analyst, 2024, Data Analytics Congress
• Best CX Leader of the year, 2025, DCX Confex
• Dr.Tarita Shankar Awards for Excellence, 2025, World HRCongress

Also, receiver of Tool Method Invention Award, Best Research Paper Award- IEEE, Best Poster Award, International Best Speaker Award, and many more for her innovative and novel work.

She has filed six patents and has more than 25 International journal and conferences publications to her credit. She is the Associate Editor for Inderscience – International Journal of Big Data Management Journal.

Served as the Advisory Board member for Data Science program at multiple Institutes like, IIT Roorkee, Times Group India, PSG Institute of Technology- Coimbatore, SSN Institute- Chennai, Jain University- Bengaluru, etc., Dr. Sheela is a member of various societies like, Alpha Pi Mu, Institute of Industrial Engineers, NASSCOM, INFORMS etc.