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Transforming Data Analytics with AI-Powered Solutions | Sarah Nagy, Seek AI

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Manage episode 467437016 series 3647567
Content provided by Darius Gant. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Darius Gant or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode of the Tesoro AI podcast, host Darius Gant interviews Sarah Nagy, founder of Seek. They discuss Sarah's journey from astrophysics and finance to founding an AI-driven data analytics startup. Sarah explains Seek's mission to simplify data accessibility and analysis using large language models (LLMs). With her extensive background in quantitative finance and data science, Sarah sheds light on the nuances of alternative data, the challenges of dealing with unstructured data, and the importance of a robust data engineering team. The conversation also covers the evolution of AI agents, the critical role of data documentation, and Seek's flat fee business model. Sarah shares insights on effective data management practices and the significance of UI/UX in developing AI products. The episode concludes with Sarah's thoughts on the future of AI and an announcement about Seek's participation in the NRF conference.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

Founder Bio:

Sarah Nagy is a former quant who currently serves as Founder & CEO of Seek AI, a leading startup that provides organizations with a natural language interface for data, empowering anyone in a business to ask questions and receive data-driven insights fast. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA.

Time Stamps:

00:34 Sarah's Background in Finance and Astrophysics

03:12 Identifying Pain Points in Data Science

05:11 Founding Seq and Leveraging AI

08:45 Current State of Seq's Product

09:45 Data Governance and Access Control

13:16 Use Cases in Consumer Packaged Goods

15:43 Best Practices for Data Readiness

20:59 Importance of Prompt Engineering

24:31 Choosing the Best Business Model for Seek

27:43 Identifying Typical Users of Seek

29:08 Differentiating Seek from ChatGPT

31:58 Building vs. Buying AI Solutions

38:53 Conversations with Investors

41:37 Future of AI and Generative AI

44:21 Upcoming Events and Final Thoughts

Resources

Company website: https://www.seek.ai/

LinkedIn: https://www.linkedin.com/company/seekai/

https://www.linkedin.com/in/sarah-nagy/

Twitter: https://x.com/ai_seek

https://x.com/sarahrnagy

  continue reading

99 episodes

Artwork
iconShare
 
Manage episode 467437016 series 3647567
Content provided by Darius Gant. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Darius Gant or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode of the Tesoro AI podcast, host Darius Gant interviews Sarah Nagy, founder of Seek. They discuss Sarah's journey from astrophysics and finance to founding an AI-driven data analytics startup. Sarah explains Seek's mission to simplify data accessibility and analysis using large language models (LLMs). With her extensive background in quantitative finance and data science, Sarah sheds light on the nuances of alternative data, the challenges of dealing with unstructured data, and the importance of a robust data engineering team. The conversation also covers the evolution of AI agents, the critical role of data documentation, and Seek's flat fee business model. Sarah shares insights on effective data management practices and the significance of UI/UX in developing AI products. The episode concludes with Sarah's thoughts on the future of AI and an announcement about Seek's participation in the NRF conference.

If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.

Founder Bio:

Sarah Nagy is a former quant who currently serves as Founder & CEO of Seek AI, a leading startup that provides organizations with a natural language interface for data, empowering anyone in a business to ask questions and receive data-driven insights fast. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA.

Time Stamps:

00:34 Sarah's Background in Finance and Astrophysics

03:12 Identifying Pain Points in Data Science

05:11 Founding Seq and Leveraging AI

08:45 Current State of Seq's Product

09:45 Data Governance and Access Control

13:16 Use Cases in Consumer Packaged Goods

15:43 Best Practices for Data Readiness

20:59 Importance of Prompt Engineering

24:31 Choosing the Best Business Model for Seek

27:43 Identifying Typical Users of Seek

29:08 Differentiating Seek from ChatGPT

31:58 Building vs. Buying AI Solutions

38:53 Conversations with Investors

41:37 Future of AI and Generative AI

44:21 Upcoming Events and Final Thoughts

Resources

Company website: https://www.seek.ai/

LinkedIn: https://www.linkedin.com/company/seekai/

https://www.linkedin.com/in/sarah-nagy/

Twitter: https://x.com/ai_seek

https://x.com/sarahrnagy

  continue reading

99 episodes

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