HomeUpcoming webinars
Free to Join

AI In The Enterprise: From Prototype to Production

Thursday, February 20, 11 AM ET

Key Takeaways

  • Learn how to address the biggest challenges in building and deploying generative AI applications.
  • Understand the people, process, and technology factors critical to productionizing AI.
  • Explore strategies for balancing speed, performance, and cost, and measuring AI product success.

Your Presenter(s)

Aishwarya Naresh Reganti headshot

Aishwarya Naresh Reganti

Applied Science Tech Lead for Generative AI at AWS

Aishwarya works in the AWS Generative AI Innovation Center helping customers pinpoint and evaluate valuable uses for generative AI. She has 8 years of machine learning experience and over 30 publications on AI. Aishwarya also works as a guest lecturer for MIT and the University of Oxford. She is a cofounder of the LevelUp Org tech community. Previously, Aishwarya was an Applied Scientist in Amazon's Aearch team and Alexa Teachable AI team.

Supreet Kaur headshot

Supreet Kaur

Data and AI Solutions Architect at Microsoft

Supreet designs and builds AI solutions for major financial institutions, and serves as a technical advisor and evangelist for cutting-edge generative AI technologies. She has extensive experience of building machine learning and AI products in finance and healthcare. Supreet is also an Ambassador for Google's Women Techmakers Program. Previously, she was a Data and AI Strategist at Morgan Stanley, and a Data and AI Consultant at ZS.

Luke Jinu Kim headshot

Luke Jinu Kim

CEO & Founder at Liner

Luke Kim founded Liner in 2015, to improve how people interact with and manage information online. Since then, it has evolved from a highlighter tool to an AI search tool that helps students discern between sources and conduct efficient, accurate, reliable research, save content, and cite sources. Liner serves 10M monthly users. Luke was named to Forbes' 30 Under 30 Asia list in 2018, and the Forbes Top AI Founders to Watch in 2025.

Why this matters

Taking AI applications from prototype to production is one of the most challenging yet rewarding aspects of enterprise AI. Building generative AI products requires careful coordination of people, processes, and technology, along with a strategic approach to balancing speed, performance, and cost. Without addressing these complexities, organizations risk inefficiencies and missed opportunities to deliver impactful AI solutions.

In the third and final webinar of the “AI in the Enterprise” series, Aishwarya Naresh Reganti, Applied Science Tech Lead for Generative AI at AWS, Supreet Kaur, Data and AI Solutions Architect at Microsoft, and Luke Jinu Kim,  CEO & Founder at Liner, will discuss how to navigate the journey from AI prototypes to production-ready applications. They’ll outline the key challenges enterprises face in building generative AI products and how to overcome them, best practices for scaling AI, navigating tradeoffs, and measuring the success of AI products in production.

Register for the webinar

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Share this webinar

Close your data and AI skills gap

We're the only platform uniquely engineered to advance data and AI skills across your entire organization. Let's explore a tailored program.

Book an Enterprise Demo
Upskilling a small team?Get started today

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.