• Date & Time:
  Saturday, June 7, 2025 12:45 PM – 6:00 PM


• Event Venue:
  Auditorium, Synopsys Building 1
  800 North Mary Avenue, Sunnyvale, CA


• Session I: Re-Engineering Engineering: Navigating the Future with AI-Driven Intelligent Systems
  Invited Speech
  
  Brandon Wang
  Vice President, Technology Strategy
  Office of the CEO, Synopsys
  
  Abstract: Delivering software-defined intelligent systems and AI silicon across diverse applications—from data centers to Autonomous machines—poses immense challenges due to unprecedented complexity and the accelerating pace of innovation. Traditional engineering approaches are no longer sufficient. To meet this moment, a new engineering paradigm, augmented by AI, is required - we must re-engineer engineering. This keynote will explore the three waves of AI evolution, strategies to optimize AI development by balancing quality, speed, and cost, and the rise of AI agent technologies and their implications for the future of work.
  
  
• Session II: Orchestrating Intelligence: Building Effective AI Agents with AG2
  Invited Speech
  
  Qingyun Wu
  Co-founder of AG2 (formerly AutoGen)
  Assistant Professor, Penn State University
  
  Abstract: This talk explores how AG2's open-source framework enables developers to build and orchestrate sophisticated multi-agent systems that tackle complex problems through collaboration. Dr. Wu will present the architectural principles behind AG2, sharing practical strategies for designing purpose-built agents, optimizing their performance, and implementing successful multi-agent patterns. Through real-world case studies, attendees will discover how organizations leverage AG2 to solve previously intractable challenges. Drawing from insights gathered across a community of 20,000+ developers, this session offers actionable knowledge for engineering leaders and AI practitioners looking to advance their agent-based initiatives and deliver tangible business value.
  
  
• Session III: The Algorithmic Muse: Exploring the Fusion of Music, Math, and Machine Intelligence
  Invited Speech
  
  Alexander H. Wong
  Head of Music Engineering at Wavv
  
  Dean Ludgate
  Head of Operations at Wavv
  
  Abstract: This talk explores the evolving landscape where creativity meets computation, highlighting how artificial intelligence is reshaping music creation through the lenses of mathematics, engineering, and artistic expression. As music becomes increasingly driven by algorithms, we delve into the mechanics behind AI-generated compositions, the mathematical foundations of sound, and the engineering breakthroughs powering this transformation. We'll also consider the implications for composers, engineers, and creatives, as well as how these advancements democratize music production while raising new questions around authorship and authenticity.
  
  Key Discussion Points:
  
  1) The mathematical structure of music and how AI leverages it
  2) Engineering solutions that enable real-time music generation
  3) Creative potential unlocked by AI for artists and non-artists alike
  4) Case studies of AI-music collaborations (e.g., NASA, games, ads)
  5) Ethical and artistic considerations in AI-generated music
  
  Target Audience: Students, educators, musicians, engineers, tech innovators, and anyone curious about the intersection of creativity and computation.
  
  
• Session IV: Enabling The Next Big Thing in AI: Enterprise-Ready Real-Time Agentic Systems
  Invited Speech
  
  Jesse Shiah
  CEO & Co-Founder, AgilePoint
  
  Abstract: AI agents are touted as the next big thing in AI as they expand opportunities for operationalizing AI, a prerequisite to deriving AI ROI. However, many survey results showed as high as 90% of AI POCs never went into production. Furthermore, research from IBM and Forrester analysts indicates that 73% and 93% of respondents reported a delayed timeline to derive AI ROI, ranging from 1 to 5 years, respectively.
  
  One primary cause of the high failure rate of AI POCs is the challenges posed by GenAI's hallucinations, which lead to trust and governance issues.
  
  In this session, we will examine three levels of Agentic AI implementations and their ROI potential:
  1) Standalone AI Agents are used as ‘bolt-ons’ to structured automation activities.
  2) Platform-centric multi-agent implementations enhance the performance of line-of-business (LOB) functions.
  3) Real-time Agentic Systems employ multi-vendor and multi-agent systems for self-optimizing end-to-end business orchestrations.
  
  We will explore why the next-generation composable architecture can enable the crucial holistic abstraction needed to deliver enterprise-ready, agentic systems with cross-platform governance and enhanced trust through mitigated hallucinations. This is when AI agents will truly become the next big thing in AI and accelerate operationalizing AI for business-critical operations.
  
  
• Session V: The Transformative Impact of AI on Business and Industry
  Panel Discussion
  
  Amit Sangani
  Director of Partner Engineering, AI at Meta
  
  Frank Wang
  Principal Research Engineer at Salesforce AI Research
  
  Patrick Lu
  Lead Architect for Data and AI/ML, Trend Micro
  
  Shawn Flynn
  Founder of Silicon Valley Highpoint Capital (SVH Capital)
  
  
• Session VI:
  Panel Discussion
  
  Tim Xiong
  Senior Director
  Plug and Play
  
  Hong (Henry) Xue
  Manager Partner
  VentureX Fund
  
  Bill Sun
  Co-Founder
  PIN AI and Gen Alpha
  
  

Brandon Wang is the Vice President of Technology Strategy at Office of the CEO at Synopsys. Brandon oversees corporate level technology roadmaps and strategies for growth, including global strategic and ecosystem partnerships, and M&A/investments for new horizons. He also heads the Chief Innovation Office, championing organic innovations and worldwide academic and research partnerships. .

Dr. Qingyun is the founder and CEO of AG2AI. AG2 (originated from Qingyun's work on AutoGen) is a leading open-source framework with a monthly downloads of over 700k and a vibrant community of over 20k AI agent developers. Qingyun is also an Assistant Professor at the College of Information Science and Technology at Penn State University. Qingyun got her Ph.D. in Computer Science from the University of Virginia in 2020. Qingyun received the 2019 SIGIR Best Paper Award, and ICLR 2024 LLM agent workshop Best Paper Award.

Co-founder of AG2 (formerly AutoGen)
Assistant Professor, Penn State University

Alexander Wong is the Head of Music Engineering at Wavv, where he plays a pivotal role in leading the development and integration of music-related technologies within the company’s AI-driven platform. An award-winning composer and music producer with a diverse portfolio, Alex has composed for film, television, and multimedia projects across Asia and North America.

Head of Music Engineering
Wavv

Dean Ludgate is the Head of Operations at Wavv, a San Francisco-based company pioneering AI-driven music technology. He comes from a background as a guitarist and has a huge passion for all things music, bringing a creator’s perspective to his work at the intersection of technology and sound.

Head of Operations
Wavv

Mr. Shiah has devoted his career to redefining and democratizing the software development paradigm through innovations that include abstraction and platform-agnostic, no-code model-driven composability. This advancement significantly reduces complexity and bridges the gap between business and IT. It enables the development of a real-time, adaptive, and resilient business system that effectively manages unpredictable exceptions and AI's dynamic, non-deterministic nature without requiring code changes. Since 2003, Mr. Shiah has led the way in low-code/no-code innovation demonstrating how composable architecture can democratize application development, empowering everyone to innovate.

CEO & Co-Founder
AgilePoint

Amit Sangani is the Director of Partner Engineering, AI at Meta. Amit has been with Meta for 10+ years and manages developer-facing engineering teams working on AI platforms such as Llama and PyTorch. Amit and his team’s mission is to democratize AI and increase the adoption of these platforms by making it easier for developers to integrate them into their products and spur innovation and increased productivity.

Director
Partner Engineering, AI
Meta

Frank Wang is a Principal Research Engineer at Salesforce AI Research, where he is responsible for overall design and architecture of incubation products focused on GenAI models, agents, and apps. In his previous role, he led the engineering team for the Atlas project (now known as Agentforce reasoning engine and RAG system), which was well received by customers like Disney, Kaiser Permanente, and RBC and is now in production use by numerous clients.

Principal Research Engineer
Salesforce AI Research

Patrick Lu is the Lead Architect for Data and AI/ML at Trend Micro, where he shapes the strategic direction of enterprise-wide AI and data initiatives. With over two decades of experience in cybersecurity, data mesh, cloud infrastructure, and machine learning, Patrick has led the transformation of emerging technologies into real-world products and solutions that strengthen cyber defense for global customers. Patrick’s current work centers on large language models (LLMs) and agentic AI systems. He spearheaded the creation of Trend Micro’s cybersecurity-specialized LLMs and open-sourced them via HuggingFace to foster innovation within the AI security community.

Lead Architect for Data and AI/ML
Trend Micro

Shawn Flynn is the founder of Silicon Valley Highpoint Capital (SVH Capital), where he and his team uses AI to help in the steps of the transaction process. He began his career in Beijing, China, founding, scaling, and successfully exiting a company before returning to the U.S. to work with fast‑growing Silicon Valley startups to established overseas public companies. He specializes in mergers & acquisitions, raising growth capital, and secondaries.

Founder
Silicon Valley Highpoint Capital (SVH Capital)

Tim Xiong, Senior Director at Plug and Play and the right-hand man of CEO, focuses on early-stage investment focusing on artificial intelligence in Silicon Valley. Tim is a seasoned business leader with a proven track record of success across top global companies, including Amazon AWS, Microsoft, and IBM. He has held executive roles in corporate investment, business innovation, and startup ecosystem development. He serves as a member of the Open Innovation Advisory Board at the Haas School of Business, UC Berkeley, and is a leading advisor at the UC Berkeley Skydeck Accelerator. In addition, Tim is a board member on the Investment Committee of Hong Kong Tong Ze Group, further showcasing his strategic influence in international investment and innovation.

Plug and Play
AI Investment

Hong (Henry) Xue is a Silicon Valley-based Venture Capital investor and executive with a passion for innovation. Henry is the Managing Partner for VentureX Fund, and has led the practice of early-stage investment and mergers and acquisition initiatives in Silicon Valley. His investment focus spans across Artificial Intelligence, CleanTech and Sustainability. Notable companies in his portfolio include CyberFend (acquired by Akamai), CaiCloud (acquired by ByteDance), Oculii (acquired by Ambarella), Namocell (acquired by Bio-techne), LeanFM, Opentron, and ScaleFlux, among others. In total, he has invested in 30 Silicon Valley-based companies with 9 profitable exits.

Managing Partner,
VentureX Fund

Bill Sun is an AI startup entrepreneur as co-founder of PIN AI and Gen Alpha. He was AI research scientist from Stanford, Math PhD, and participated the discovery of transformer as the first researcher who made transformer model work on Question answering in 2016 at Google Brain. He was a successful AI+quant portfolio manager with billion dollar AUM trading global equi- ty at Millennium, also worked at Citadel, Point72 Cubist. He is also founding member of AGI House, a Bay area AI community with support of Google, OpenAI cofounders.

Co-Founder
PIN AI and Gen Alpha