Journey to Generative AI

Wesley Chung is a Partner Business Development leader focused on Data and AI in the Americas. He is an accomplished executive with a passion for building solutions with customers and partners that deliver business impact. He joined AWS from IBM where he most recently focused on driving Watson AI adoption in the enterprise. He has held leadership roles in product management, design, brand strategy, and strategic partnerships. He is dedicated to improving the partner experience and streamlining how partners and AWS can best serve our joint customers.

Chief Sales Officer responsible for Revenue, Sales, Marketing and New Business functions at Tiger.

As a Principal Partner Sales Engineer at Dataiku, Pat has worked with a number of clients across pharmaceuticals, banking, energy, and automotive to scope, plan, and develop data engineering and machine learning applications.

Vishal leads the Data and ML engineering solutions practice at Tiger Analytics. Vishal has a background in building cutting edge ML driven data products, with over 20 yrs of experience delivering large data driven transformations. He specializes in scaled digital data and AI platforms, data foundations using data mesh architectures, real time analytics, semantic knowledge graphs, intelligent data operations and deep learning applications.

Seth Walker is an experienced technology and AI leader with 12 years at the forefront of data science and AI. He has a diverse background spanning healthcare, insurance, political science, economics, and manufacturing. Seth has built and managed large teams of Data Scientists and Causal Researchers, helping large enterprises unlock the power of their data. Specializing in scaling teams and platforms to drive ROI, his expertise covers both classical and generative AI. Seth is passionate about bridging technical and functional domains to ensure that companies realize value from AI projects and mitigate AI risk through proper governance

Alaa Moussawi serves as Chief Data Scientist for the New York City Council, where he oversees the operations of the data and web development units. Under his leadership, the data operations unit promotes the utilization of data to shape legislative initiatives aimed at addressing the diverse needs of NYC's residents. Utilizing advanced statistical and technological tools, they analyze a broad spectrum of issues pertinent to the city, ranging from pay equity to school bus delays. Their objective is to empower policymakers with data-driven insights, ensuring transparency and reproducibility in their models and research. Simultaneously, the web development unit designs and implements technologies aimed at enhancing the efficiency of council staff while reducing cognitive load. By leveraging algorithms and natural language processing (NLP) technologies, they streamline user interfaces and automate complex tasks. Their solutions, developed exclusively using open source technology, are customizable and include CRMs, internal websites for streamlined processes like paperless hearings, dashboards, and machine learning models deployed to facilitate daily council operations.