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Available On-Demand - This webinar has been recorded and is now available for download.

Is Your Organization Ready for Generative AI? Overcoming Challenges and Advancing Scalability

Webinar Speaker: James Kobielus, Senior Research Director, Data Management

Date: Wednesday, August 2, 2023

Time: 9:00 a.m. PT / 12:00 p.m. ET

Everyone is talking about the transformational capabilities of generative AI—a subset of artificial intelligence that utilizes machine learning techniques to generate new content in a variety of forms, including but not limited to images, music, speech, and text. There is a great deal of interest in this technology among the data and analytics community. However, not all organizations are ready for it! There are significant challenges to overcome in order to prepare your enterprise’s data to become a launch pad for generative AI.

To make the most out of generative AI requires a robust data platform to fully utilize the capabilities of the models—including large language models (LLMs)—which are at the core of generative AI. This requires deploying scalable data and ML pipelines, creating extensible system architectures, developing modern data acquisition practices, and taking advantage of rapid innovations in AI technologies.

Join this webinar to learn more about what it takes to be ready to leverage generative AI to boost business performance and unlock new sources of growth. Topics include:

  • Generative AI: What it means for organizations and use cases for it
  • The platform approach to make your data ready for generative AI
  • Essential AI/ML capabilities organizations require to leverage generative AI
  • Need for robust data architectures, frameworks, and governance to implement generative AI models
  • Taking into consideration responsible AI to ensure a high level of trust can be maintained

Guest Speakers

Ravishankar Rao Vallabhajosyula
Senior Director- Data Science

Ravi leads the data science practice at Impetus. At Impetus, he has contributed extensively to various AI and ML initiatives. He has been involved in delivering successful data science engagements for several customers. Ravi has over two decades of experience working with data modeling and simulation and machine learning in engineering design, manufacturing, energy, aerospace, life sciences, healthcare, and other areas.

Helen Xing
Head of Data Analytics Partner GTM

Helen Xing leads the Worldwide Data Analytics Partner GTM for the Americas and Global Public Sector at AWS. She started her career at Merck as a program analyst and enjoyed a 15-year career at Oracle and left as the Senior Director of Partner Solutions in NA Sales. She is passionate about education, social impact and data led transformation, and has been at the fore-front of Data for Good effort engaging Public Private partnership supporting veterans, promoting Diversity, Equity and Inclusion and social welfare. She is the Chairwoman of the board of Nelly Berman Classical Musical Institute.

James Kobielus

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