Designed for enterprise technologists across all industries, the brand new Enterprise AI track is the perfect combination of technical analysis from those building the leading AI infrastructure products and real-world insights from enterprise peers.
The designated track for end-users provides a unique opportunity to engage with and learn from your enterprise peers from a cross section of industries including finance, pharma, retail, manufacturing, entertainment, automotive & more.
How Will You Benefit?
1. Stay ahead of the underlying tech that’s truly changing the game. Pre-empt the next DeepSeek moment and do your due diligence in the most comprehensive community of AI infrastructure experts on the planet.
2. Avoid the same expensive mistakes your peers made. Skip them in the line entirely - put your team and your organization ahead with masterclasses on AI infrastructure design and deployment from your peers in other enterprises.
3. Supercharge the performance and efficiency of your AI stack. Learn about optimization techniques from hardware to software, and upskill your engineers, architects, and developers in hands-on workshops.
Agenda Highlights:
- Agentic & Generative AI: Infrastructure requirements for the new waves of AI vs traditional AI.
- Data Privacy & Security: Guardrails for responsible data management, advancements in confidential computing, quantum encryption, and privacy vs performance trade-offs.
- Cross Industry AI Use Cases: Evaluating efficiency, affordability, energy consumption, governance, security considerations and more across real world use cases.
- Software Infrastructure: MLOps developments for ML lifecycle management, optimizing MLOps for LLMs, effectively managing data platforms & vector databases.
Confirmed Enterprise Speakers Include:
Arun Nandi
Senior Director and Head of Data & Analytics
Unilever
Arun is a visionary AI and Analytics expert recognized as one of the Top 100 Influential AI & Analytics leaders. He is the Head of Data & Analytics at Unilever today. With over 15 years of experience driving analytics-driven value in organizations, he has built AI practices from the ground up on several occasions. Arun advocates the adoption of AI to overcome enterprise-wide challenges and create growth. Beyond his professional achievements, Arun loves to travel, having explored over 40 countries and is passionate about adventure motorbiking.
Chandra Kapireddy
Head of Analytics, AI ML, & Gen AI
Truist
Chandra Kapireddy is joining our leadership team as the Head of Analytics, AI/ML, and Gen AI. Chandra brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams. Recognized for his expertise in change leadership, strategy and execution, team building, and delivering results, Chandra has an impressive track record of innovative solutions and driving substantial business growth within the financial services sector.
Chandra has held key leadership positions at some of the industry’s leading companies, including JP Morgan Chase, Capital One, Wells Fargo, Bank of America, Oracle, and AWS. Most recently, he served as Managing Director and Head of AI/ML Products for JPMorgan Chase. Chandra was also a member of JP Morgan Chase’s AI executive council, where he played a pivotal role in shaping the strategy, products, controls, and governance across the company. His visionary leadership has driven innovations in cloud computing, data analytics, and AI/ML earning him numerous awards.
Chandra’s extensive experience and enthusiasm for cutting-edge technologies will provide powerful leadership in a critical area of our technology future. Please join us in welcoming Chandra to the Enterprise Data & Analytics leadership team.
Sean Ma
Head of Applied AI, Amazon Dash Cart
AWS
As Head of Applied AI Research at Amazon Dash Cart, Sean Ma leads the AIML science organization (multiple science and software teams) advancing computer vision, artificial intelligence, and machine learning. Sean has a PhD in Electrical and Computer Engineering focusing on image and video understanding using AI from the University of Illinois, and also holds an innovation leadership certification from MIT, plus a certification of software program/project management and certification for Scrum Product Owner.
Sean has built, led, and managed globally distributed teams of researchers and engineers, delivered proof-of-concepts and production solutions, and won multiple awards and patents.
Donald Thompson
Distinguished Engineer
LinkedIn
Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.
Aswini Atibudhi
Distinguished Architect
Walmart
Aswini is a Distinguished Architect at Walmart Global Tech, with over 22 years of IT experience in designing scalable AI/ML, micro frontend, microservices, and cloud applications. His professional expertise encompasses diverse domains including e-commerce, finance, telecom and healthcare meticulously developed through his tenure at Walmart, Cisco, Equinix, Finastra, and TCS. Over seven years at Walmart, he has been a founding member of critical platforms like Last Mile Delivery, Fleet Management, MerchOne, Supplier Portal and several others. As a recognized expert in generative AI, Aswini specializes in leveraging machine learning and large language models to create transformative digital experiences, including personalized content generation and AI-driven customer engagement.
He has received numerous awards including Walmart’s Innovation Award, Equinix’s Top Performer Award, and Cisco’s Group Race Award. With many certifications in AI, machine learning, and cloud technologies, he stays at the forefront of innovation. Known for his strategic insights, Aswini has a proven ability to deliver transformative AI solutions across industries.
Gayathri Radhakrishnan
Partner
Hitachi Ventures
Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.
Daniel Wu
Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University
Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.
Abhijeet Gulati
Head of AI, Senior Director of AI & ML Engineering
Mitchell International
Abhijeet Gulati is the Head of AI & Senior Director of Engineering at Mitchell’s Auto Physical Damage (APD) business unit. Abhijeet is an accomplished technologist with over two decades of experience in the semiconductor, wireless, software & technology industry, focusing on AI, Machine Learning, NLP, Generative AI and SaaS solutions. He is a driven Artificial Intelligence, Advanced Analytics and business intelligence leader.
As the Head of AI at Mitchell International, Abhijeet has spent the past 5 years improving InsureTech inefficiencies, minimize decision biases, developed proprietary, differentiated enterprise scale AI products and an intelligent open platform that democratizes adoption of AI in enterprise business workflows. Abhijeet has extensive experience directing large-scale initiatives involving R&D, business & product strategy, operations, and advanced video, image and data analytics. Abhijeet has authored several patents on the application of AI in InsureTech industry. Abhijeet sits on the board of several AI standards, Ethical & Responsible AI committees.
Rashmi Gopinath
General Partner
BAM Corner Point
Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.
Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.
Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.
Ahmed Menshawy
Vice President of AI Engineering
Mastercard
Ahmed Menshawy is the Vice President of AI Engineering at Mastercard. In this role, he leads the AI Engineering team, driving the development and commercialization of AI products that deliver business value across the organization. His work focuses on enabling Mastercard to harness the power of AI to solve complex problems, optimize operations, and enhance customer experiences. Ahmed collaborates with cross-functional teams to bring innovative AI solutions from concept to market, ensuring they align with Mastercard’s strategic objectives
An accomplished author and recognized contributor to the AI community, Ahmed has co-authored Deep Learning with TensorFlow and written Deep Learning by Example. His most recent book, Graph Learning for the Enterprise, published by O’Reilly, provides practical insights into efficiently training and deploying graph learning pipelines at scale
Michael McLaughlin
Head of AI ML and Advanced Analytics
Children's National Hospital
Mike is the Head of AI/ML & Advanced Analytics at the Children’s National Hospital in Washington DC. At Children’s he leads the team responsible for developing, monitoring, and maintaining custom AI/ML applications in addition to driving AI governance and upskilling initiatives. He’s spent his entire career in the healthcare industry emphasizing AI and advanced analytics. His prior roles include leadership roles at Monogram Health, Exact Sciences, and Elevance.
Rohith Vangalla
Lead Software Engineer
Optum
Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.
Who Will You Meet?
2025 Confirmed Enterprise Includes...
Industries Include:
