AWS for Software Companies Podcast

Ep077: Developing an AI Strategy for Software Companies


Listen Later

In this AWS panel discussion, Naveen Rao, VP of AI of Databricks and Vijay Karunamurthy, Field CTO of Scale AI share practical insights on implementing generative AI in enterprises, leveraging private data effectively, and building reliable production systems.

Topics Include:

  • Sherry Marcus introduces panel discussion on generative AI adoption
  • Scale AI helps make AI models more reliable
  • Databricks focuses on customizing AI with company data
  • Companies often stressed about where to start with AI
  • Board-level pressure driving many enterprise AI initiatives
  • Start by defining specific goals and success metrics
  • Build evaluations first before implementing AI solutions
  • Avoid rushing into demos without proper planning
  • Enterprise data vastly exceeds public training data volume
  • Customer support histories valuable for AI training
  • Models learning to anticipate customer follow-up questions
  • Production concerns: cost, latency, and accuracy trade-offs
  • Good telemetry crucial for diagnosing AI application issues
  • Speed matters more for prose, accuracy for legal documents
  • Cost becomes important once systems begin scaling up
  • Organizations struggle with poor quality existing data
  • Privacy crucial when leveraging internal business data
  • Role-based access control essential for regulated industries
  • AI can help locate relevant data across legacy systems
  • Models need organizational awareness to find data effectively
  • Private data behind firewalls most valuable for AI
  • Customization gives competitive advantage over generic models
  • Current AI models primarily do flexible data recall
  • Next few years: focus on deriving business value
  • Future developments in causal inference expected post-5 years
  • Complex multi-agent systems becoming more important
  • Scale AI developing "humanity's last exam" evaluation metric
  • Discussion of responsibility and liability in AI decisions
  • Companies must stand behind their AI system outputs
  • Existing compliance frameworks can be adapted for AI


Participants:

  • Naveen Rao – VP of AI, Databricks
  • Vijay Karunamurthy – Field CTO, Scale AI
  • Sherry Marcus Ph.D. - Director, Applied Science, AWS


See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

...more
View all episodesView all episodes
Download on the App Store

AWS for Software Companies PodcastBy Amazon Web Services

  • 5
  • 5
  • 5
  • 5
  • 5

5

10 ratings


More shows like AWS for Software Companies Podcast

View all
WSJ Tech News Briefing by The Wall Street Journal

WSJ Tech News Briefing

1,646 Listeners

WSJ What’s News by The Wall Street Journal

WSJ What’s News

4,335 Listeners

The Changelog: Software Development, Open Source by Changelog Media

The Changelog: Software Development, Open Source

283 Listeners

a16z Podcast by Andreessen Horowitz

a16z Podcast

1,030 Listeners

Software Engineering Daily by Software Engineering Daily

Software Engineering Daily

623 Listeners

Pivot by New York Magazine

Pivot

9,109 Listeners

AWS Podcast by Amazon Web Services

AWS Podcast

202 Listeners

Founders by David Senra

Founders

1,870 Listeners

Y Combinator Startup Podcast by Y Combinator

Y Combinator Startup Podcast

216 Listeners

Morning Brew Daily by Morning Brew

Morning Brew Daily

2,957 Listeners

The Stack Overflow Podcast by The Stack Overflow Podcast

The Stack Overflow Podcast

63 Listeners

All-In with Chamath, Jason, Sacks & Friedberg by All-In Podcast, LLC

All-In with Chamath, Jason, Sacks & Friedberg

9,045 Listeners

Big Technology Podcast by Alex Kantrowitz

Big Technology Podcast

421 Listeners

Hard Fork by The New York Times

Hard Fork

5,426 Listeners

Prof G Markets by Vox Media Podcast Network

Prof G Markets

1,041 Listeners