Daniel Wu

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.

Girish Venkataramani

Prasun Raha

David Tai

Dr. Caiming Xiong

Dr. Caiming Xiong is VP of AI Research and Applied AI at Salesforce. Dr. Xiong holds a Ph.D. from the department of Computer Science and Engineering, University at Buffalo, SUNY and worked as a Postdoctoral Researcher Scholar at the University of California, Los Angeles (UCLA).

Ritu Goel

Ritu Goel is Director of Product Management at Adobe, where she has been driving strategy for AI/ML platform since its early days with the vision of democratizing AI/ML development at Adobe. Prior to this, Ritu has spent more than a decade leading product strategy and execution of various enterprise to consumer products and platforms at eBay, Macys.com and Infosys. Ritu has a bachelor of engineering from Indian Institute of Technology, Roorkee. 

Sree Ganesan

Sree Ganesan, VP of Product, d-Matrix: Sree is responsible for product management functions and business development efforts across the company. She manages the product lifecycle, definition and translation of customer needs to the product development function, acting as the voice of the customer. Prior, Sree led the Software Product Management effort at Habana Labs/Intel, delivering state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Sree earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a PhD in computer engineering from the University of Cincinnati, Ohio.

Victor Peng

Victor Peng is President of the Adaptive and Embedded Computing group at AMD. He is responsible for AMD’s Adaptive SmartNIC, FPGA, Adaptive SoC, embedded CPU, and embedded APU business that serve multiple market segments including the data center, communications, automotive, industrial, A&D, healthcare, test/measure/emulation, and other embedded markets. Peng also serves on the board of KLA Corporation.

Peng rejoined AMD in 2022 after 14 years at Xilinx, most recently serving as president and CEO. Prior to joining Xilinx, Peng worked at AMD as corporate vice president of silicon engineering for the graphics products group (GPG) and was the co-leader of the central silicon engineering team supporting graphics, game console products, and CPU chipsets. Prior to that, Peng held executive and engineering leadership roles at ATI, TZero Technologies, MIPS Technologies, SGI, and Digital Equipment Corp. 

Mark Russinovich

Mark Russinovich is Chief Technology Officer and Technical Fellow for Microsoft Azure, Microsoft’s global enterprise-grade cloud platform. A widely recognized expert in distributed systems, operating systems and cybersecurity, Mark earned a Ph.D. in computer engineering from Carnegie Mellon University. He later co-founded Winternals Software, joining Microsoft in 2006 when the company was acquired. Mark is a popular speaker at industry conferences such as Microsoft Ignite, Microsoft Build, and RSA Conference. He has authored several nonfiction and fiction books, including the Microsoft Press Windows Internals book series, Troubleshooting with the Sysinternals Tools, as well as fictional cyber security thrillers Zero Day, Trojan Horse and Rogue Code.

Rashid Attar

Rashid Attar joined Qualcomm, San Deigo, CA, USA, and has involved in various aspects CDMA wireless data (EV-DO) and voice systems (IS-95, 1x-Advanced) in 1996, where he was the Project Engineer of CDMA2000-advanced from 2009 to 2013 and CDMA Modem Systems Lead at QCT from 20 through 2013. From 2014 to mid-2016, he led the ultra-low-power ASIC platform project. He is currently a Vice President Engineering with Corporate Research and Development, Qualcomm. He leads the ASIC and Hardware Department in Qualcomm Research. The Qualcomm Research portfolio consists of Communications (5G, Cellular V2X, Satellite Communications, Wi-Fi, and Industrial Internet of Things), ASIC and HW Research and Development, and Embedded IoE systems (Always on computer vision, Autonomous Driving, Robotics, and AR/VR). The ASIC and Hardware Group Research and Development portfolio consists of 5G (RFICs, PAs, Interfaces, Packaging), processors (CPUs, Programmable deep learning accelerators), ultra-low-power platform (processor, communications, memory, machine learning accelerators, power management, wireless charging), core CMOS Research and Development (3-DIC and Thermal-aware designs), and Antenna Design. He holds approximately 160 granted U.S. patents

Phil Brown

Phil leads Graphcore’s efforts to build large scale AI/ML processing capability using Graphcore unique Intelligence Processing Units (IPUs) and IPU-Fabric and Streaming Memory technology. Previously he has held a number of different roles at Graphcore including Director of Applications, leading development of Graphcore’s flagship AL/ML models, and Director of Field Engineering, which acts as the focal point for technical engagements with our customers. Prior to joining Graphcore, Phil worked for Cray Inc. in a number of roles, including leading their engagement with the weather forecasting and climate research customers worldwide and as a technical architect. Phil holds a PhD in Computational Chemistry from the University of Bristol.

Jeff Boudier

Jeff Boudier is a product director at Hugging Face, creator of Transformers, the leading open-source NLP library. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development and Corporate Development.