2024 Speakers Include
Daniel Wu
Daniel Wu is a technical leader who brings more than 20 years of expertise in software engineering, AI/ML, and high-impact team development. He is the Head of Commercial Banking AI and Machine Learning at JPMorgan Chase where he drives financial service transformation through AI innovation. His diverse professional background also includes building point of care expert systems for physicians to improve quality of care, co-founding an online personal finance marketplace, and building an online real estate brokerage platform.
Daniel is passionate about the democratization of technology and the ethical use of AI - a philosophy he shares in the computer science and AI/ML education programs he has contributed to over the years.
Sol Rashidi
Donald Thompson
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.
Donna Schut
Gautam Hotti
Highly experienced and visionary Director and Head of Enterprise Architecture with over 20 years of experience in leading cross-functional teams to design, build and implement complex software systems and platforms. Proven track record of developing architecture services and processes, rolling out governance best practices, leading distributed systems architecture and development. Currently driving adoption of Generative AI in Novartis.
Saeed Contractor
Saeed Contractor is the Global Head of the Intelligent Automation COE, Tech at Uber. He leads the Intelligent Automation COE at Uber for Technology / Architecture, Strategy and Implementation. Recognized as a hands-on leader of software Architecture and Development, Saeed brings together new Technologies, Engineering, Business Processes and Mathematics to provide innovative and effective solutions to difficult problems. He has a strong customer focus and drives the Agile development of secure, scalable, reliable and highly available products with due consideration of negative paths and incorporating feedback from all stages of the product life cycle. Saeed has a Master of Engineering Degree from Princeton University and an MBA from UCF.
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Are you interested in joining us this January at the Enterprise Generative AI Summit? Register your place today! -
Download the community brochure a breakdown of the Enterprise Generative AI Community by technical focus and company category! -
Download the sponsorship brochure to see how you can benefit from partnering with the Enterprise Generative AI Summit 2024.
WHY ATTEND
The Enterprise Generative AI Summit is the premier conference for enterprise AI pioneers who are actively integrating generative AI models into their businesses.
With an industry leading speaking faculty and audience consisting of enterprise technologists from a diverse cross-section of industries, attendees will have the chance to learn from, meet, and network with generative AI experts from across the finance, pharmaceutical, tech, consumer, transport, manufacturing, communications, and other industries.
Key highlights for 2024:
- For Data Scientists: Explore our data science track for topics such as open vs close source systems, finetuning and pre-training models efficiently, cost effective model serving and inference, data protection and data optimisation, infrastructure and risk management frameworks and more. All sessions are designed to promote the development and deployment of safe, efficient, and affordable generative AI within enterprises.
- For Business Leaders: Get up to speed with the fundamentals and most recent developments of generative AI for safe and affordable enterprise use. Explore our business leaders track to learn about generative AI related enterprise workforce optimisation, investment in infrastructure, and risk management frameworks. Other topics include upskilling your teams, risk averse use case selection, cost effective scaling techniques, legal requirements, ethical implications and more.
- For Technology Vendors, Consultancies, VCs and Start Ups: Learn the pain points and priorities of leading enterprises tackling the development and deployment of generative AI. Meet, network, and engage with a cross-section of leading enterprise technologists looking to invest in generative AI solutions at all levels!
Industry Verticals Represented Include...
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FinanceJP Morgan Chase, Mutual Financial, FactSet, Morgan Stanley, Bank of America, Northwell
