213: How AI Can Bring Advanced Data Outcomes to More Businesses featuring Taylor Murphy of Arch

This week on The Data Stack Show, Eric and John welcome Taylor Murphy, Founder and CEO of Arch, a data analytics platform. Taylor discusses Arch's evolution of its vision and delves into the challenges and innovations in the ETL (Extract, Transform, Load) space. The group also discusses the impact of AI on data analytics, the importance of modern data practices. And how AI can enhance data teams' capabilities, emphasizing the necessity of human expertise alongside AI. The episode also explores the commoditization of data storage and compute costs, the bundling of data services, and so much more.

Highlights from this week’s conversation include:

• Taylor's Background and Journey in Data (0:45)

• Modern Data Practices and AI (1:46)

• Arch's Mission and Collaboration (3:02)

• Data Movement and Business Needs (6:12)

• Bundling and Unbundling of Data Tools (8:26)

• Cost of Computing and Data Storage (13:22)

• AI Agent Models in Data Analytics (16:09)

• AI Analyst and Data Democratization (18:34)

• Decentralizing Data Expertise (20:08)

• Anchoring Questions in Business Metrics (23:32)

• Challenges for Mid-Market Companies (27:55)

• Creating Metrics in Organizations (29:53)

• User Experience in AI Interactions (34:54)

• Human-AI Collaboration (36:49)

• Managing AI Agents (39:39)

• Understanding Customer Data Needs (42:47)

• Automation of Data Parsing (45:05)

• Final Thoughts and Takeaways (46:16)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.