GenAI for Productivity

Interview:

What is the focus of your work?

These days, most of my time goes into driving strategy for our ML Engineering and Data Engineering teams: how do we evolve these platforms to further democratize access to data and abstract the engineering complexities behind productionizing new AI/ML products?

What’s the motivation for your talk?

User behavior is an important aspect that is often overlooked when examining the intersection between GenAI and productivity. Over the past year, we have launched several new tools and learned many important lessons along the way. I would love to share these insights more broadly.

Who is your talk for?

Anyone who supports the rollout / strategy of Gen AI tools (engineering leaders, project managers, etc)

Is there anything specific that you'd like people to walk away with after attending your session?

The main takeaways I want them to walk away from are:

• The role user behavior plays in the change management process (for GenAI specifically)
• Some of the ways we have been effectively leveraging LLMs and multi stage retrieval systems to drive productivity internally

What do you think is the next big disruption in software?

Edge computing will be the key to commodizing Generative AI by unlocking smaller models available on our mobile devices.