This talk focuses on how Generative AI is changing digital marketing by speeding up content creation and making it more personal. As the internet gets crowded, creating content quickly and tailored to each person is crucial. We'll show how AI helps marketers make content fast and customize it for each viewer. This session is great for marketers, content creators, and anyone interested in how AI is making digital marketing more efficient and relevant.
Technologist Deep-Dive (Gen AI & Data Science) Track
Marketing
Digital Media
Business Leader
AI Implementation
Mayank Anand
Machine Learning Engineering Manager
Adobe
Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.
Application & Gen AI Integration (Business Leaders) Track
Business Leader
C-Suite
AI Implementation
AI Technologists
Hussain Chinoy
Technical Solutions Manager, Applied AI Engineering
Google
Hussain has a background in linguistics and software applications and has been working on building speech and conversational systems for the last 20 years. As a Technical Solutions Manager for Generative AI on the Applied AI Engineering team he focuses on combining Google Cloud services into solutions that accelerate customers usage of AI, including Generative AI for Marketing, Customer Experience, and Website Modernization. His technical areas of interest are in Conversation, Ethics and Governance, and application architecture. Hussain joined Google in 2020 as an application modernization and AI specialist.
Application & Gen AI Integration (Business Leaders) Track
AI Technologists
Infrastructure Procurement
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.
Parasvil Patel
Partner
Radical Ventures
Parasvil Patel is a Partner with Radical Ventures where he works with entrepreneurs building and deploying AI technologies. Prior to joining Radical, Parasvil was with KKR and started his career with BCG. Parasvil holds an MBA from Harvard Business School and received a B.Tech. in Electrical Engineering from IIT Bombay.
John Wei
Venture Investment Director
Applied Ventures
John Wei is a venture investment director at Applied Ventures. He focuses on a range of deep tech areas and industry verticals, including advanced materials, semiconductor manufacturing and industrial & enterprise software. He also manages Applied Ventures’ investment activities in the Greater China region.
Prior to joining Applied, John was a key member of the SABIC Ventures investment team, where he led multiple investments in advanced materials, energy, sustainability, manufacturing and agriculture space in North America, Europe and Greater China.
Earlier in his career, John held various commercial and technical roles at The Linde Group and General Electric with experiences mostly in the petrochemical, power generation, alternative energy and oil & gas industries.
John has a Bachelor degree from Tsinghua University and a PhD from Rutgers University, both in Chemical Engineering. While at Rutgers, he also earned a Master's degree in Computer Science. In addition, John holds an MBA degree from UCLA with a focus in Finance and Entrepreneurship.
Santosh Raghavan
Sr. Staff Hardware Technologist
Groq
Santosh Raghavan is a seasoned hardware technologist at Groq, where he drives innovation in high-performance and energy-efficient solutions for Generative AI applications. His expertise lies in evaluating and designing cutting-edge technologies that deliver exponential improvements in performance per dollar and performance per watt. Building on his experience in advanced memory development at Intel and high-speed digital and analog circuits at MaxLinear, he leverages his PhD in Semiconductor Materials from UCSB to push the boundaries of what's possible.
Groq
Website: https://groq.com/
We’re passionate about speed and simplicity.
We’re committed to increasing developer velocity in machine learning. We’ve taken a compiler-led design approach, enabling our customers to easily and quickly deploy scalable, deterministic, high performance-per-watt systems. In a world that is increasingly driven by machine learning, our vision is to lead the way with simple, fast, innovative solutions.
Organizations are witnessing the dawn of the data-driven, AI, and regulatory era. The data-driven and digital transformation of organizations is occurring at a rapid pace in order to stay relevant and pave the way to a sustainable future. The consolidation of an organization’s data into a governed, trusted, and well-managed environment that supports both AI development and production workloads is playing a crucial role in this transformation. Organizations want to take advantage of AI, but they need a trusted foundation and access to the data. Our mission is to deliver a trusted, enterprise-wide, data and AI backbone for transforming IBM into an AI Enterprise. This is helping to accelerate the infusion of data and AI in business processes and provide a fertile environment for identifying, building, and deploying responsible generative AI solutions. The resulting benefits to business are reduced time to find and consume data, reduced time to implement initiatives across business units, reduced end-to-end cycle time, and delivering insights that were previously impossible.
C-Suite
AI Technologists
Business Leader
Digital Change
Ranjan Sinha, Ph.D.
IBM Fellow, VP, and CTO
IBM
Ranjan Sinha is an IBM Fellow, VP, and CTO focusing on AI strategy to develop a turnkey approach to enabling AI with enterprise data. He is a digital transformational leader and innovator in data platforms, data engineering, and data science. He is on the front lines of transforming IBM into an AI Enterprise and helping IBM's clients navigate their data and AI journeys in a hybrid cloud environment. He has published over 30 peer-reviewed papers, books, and patents. He has been awarded federal and university research grants, and won the global sort benchmark for JouleSort and PennySort. He holds a PhD in computer science from RMIT University in Australia, has been a research academic at the University of Melbourne, and held data science roles at eBay Inc. He is passionate about promoting wellness, safety and empowerment of vulnerable groups, and an advocate for social and global issues.