Mastering Large-Scale Generative AI Deployments
At least 30% of Generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs, or unclear business value,” according to Gartner.
Executives are impatient to get Generative AI projects live and organizations are struggling with key challenges around data quality, and integration to back-end systems.
In this webinar, Ranjit Anand, VP of Global Delivery, who has deployed Generative AI projects for the largest companies in the world will discuss real-world challenges and practical insights to deploying Generative AI projects at scale successfully.
In this discussion you will discover:
- Strategies to tackle common hurdles in scaling generative AI
- Insights into the technical infrastructure needed for successful AI deployment
- Essential tools and best practices to streamline your generative AI journey
Speaker
Ranjit Anand
VP Global Delivery
Avaamo
Ranjit Anand, VP-Global Delivery is a highly experienced leader in Generative AI and Conversational AI deployments. With extensive expertise across healthcare, finance, education, telecom, and manufacturing, Ranjit has successfully managed complex projects for clients worldwide.
He specializes in guiding technical roadmaps, solution design, and capacity planning, ensuring efficient project rollouts and long-term success. Ranjit’s leadership has been instrumental in bridging the gap between strategic goals and practical implementation, delivering real-world impact across industries. Join us to gain valuable insights from his vast experience.