Getting Your Data Infrastructure Ready for Generative AI
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Guest Speaker: Derek Larsen- VP, GTM Strategy- Unified Data Platforms, Impetus
Guest Speaker: Ravishankar Rao Vallabhajosyula, Senior director- Data Science, Impetus
Date: Wednesday, November 15, 2023
Time: 12:00 p.m. PT / 3:00 p.m. ET
Generative AI, driven by the rapid adoption of large language models (LLMs), has become a global phenomenon. TDWI research indicates a growing interest in this technology, particularly among companies aiming to leverage their own data for building solutions and extracting value from generative AI. To realize this aspiration, your organization must strategically architect its on-premises or cloud infrastructure and advance its data estate. This will enable your organization to tap into the vast potential of generative AI while prioritizing data privacy and mitigating risks associated with LLMs.
This foundation is crucial for the development and scalability of contemporary chatbots and summarization applications and supports future applications encompassing video, audio, verbal content, sensor data, and other diverse and complex data formats.
The fundamental question is "How can you position your organization to become generative AI-ready and stay ahead of the curve?" Join this Impetus and TDWI fireside chat to explore the principles for implementing generative AI in industry-specific solutions. Topics covered include:
- Establishing essential generative AI foundations to elevate enterprise readiness
- Design principles for structuring your generative AI infrastructure
- Governance and responsible AI guidelines for mitigating risks
- Enhancing generative AI with domain-specific knowledge
- Scaling generative AI adoption across your organization
- Prominent use cases, such as enterprise search
- Facilitating new customer experiences through application integration
VP GTM Strategy-Unified Data Platform Services
Derek Larsen is a recognized leader in digitizing the customer experience and capitalizing on disruption at the intersection of technology advancements and data science. Working directly with Fortune 500 and governmental entities, he is well-versed in the design and the launch of product offerings that propel growth organically and capitalize on assets from inorganic acquisitions. He has over 15 years of experience enabling commercial companies to redefine their products/services and empowering governmental agencies to define and realize their mission promises.
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.
Fern Halper, Ph.D.