Past Webinar

Generative AI: Opportunities and Pitfalls for Enterprise Implementation

Date and Time

Thu, Jun 27, 2024
Read the 3-minute summary


Generative AI is rapidly transforming businesses. This powerful technology is enhancing various aspects of enterprises, from product development and marketing to customer service and internal operations. This interactive session will discuss the opportunities and challenges of Generative AI for your organization. The esteemed panelists will provide insights and guidance to help industry professionals navigate the complexities of this transformative technology. They’ll explore:

  • Emerging use cases: How Generative AI can be utilized across various industries to enhance processes and unlock new opportunities.
  • Gain a competitive advantage: Learn how AI can boost efficiency, personalize experiences, and drive growth.
  • Mitigating risks: Strategies for navigating data bias, safety considerations, and responsible implementation strategies to ensure you leverage AI with confidence.


Asit Sangode
Head of Machine Learning, Morgan Stanley
Eduardo Kassner
Chief AI & Data Officer- High Tech Industry, Microsoft
Rahul Singhal
Chief Product Officer, Innodata
Moderator: Jim Halcomb
Head of Product Management, EDM Council

Post-event summary

The webinar titled “Generative AI: Opportunities and Pitfalls for Enterprise Implementation,” hosted by EDM Council and Innodata, focused on the current state, challenges, and future trends of generative AI in enterprises.

  • Asit Sangode, Head of Machine Learning, Morgan Stanley
  • Eduardo Kassner, Chief AI & Data Officer- High Tech Industry, Microsoft
  • Rahul Singhal, Chief Product Officer, Innodata
  • Moderator: Jim Halcomb, Head of Product Management, EDM Council

Jim began by framing the conversation around the significant potential and risks associated with generative AI. Eduardo emphasized the importance of selecting impactful and feasible use cases for initial implementation, highlighting the necessity of addressing compliance, security, and accuracy concerns. He noted, “AI drives trust before it dies on anything else,” stressing the critical role of reliable and accurate AI outputs.

Asit shared his experience in the financial sector, discussing practical applications like conversational AI assistants and summarization tools to enhance efficiency. He underscored the need for education and deliberate selection of use cases, noting that successful implementations often balance high value with manageable compliance overhead.

Rahul offered a dual perspective, discussing both the builders and adopters of generative AI. He highlighted the growing trend of smaller companies developing domain-specific language models and the widespread interest in efficiency-boosting applications, such as automated summarization and marketing tools. Rahul also emphasized the importance of continuous monitoring for vulnerabilities, proposing a future where AI solutions are constantly scanned for potential issues, akin to antivirus software.

The panel agreed that while generative AI holds transformative potential, achieving substantial business benefits requires careful planning, robust governance, and addressing data quality and bias concerns. They also acknowledged the inevitable disillusionment phase before stabilization and widespread adoption. In sum, the webinar provided a comprehensive overview of generative AI’s potential, emphasizing the need for strategic implementation and ongoing vigilance to ensure safe and effective use.