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The Data Stack Show

Latest episodes

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7 snips
Nov 27, 2024 • 55min

217: Bridging Data Models with Business Intuition with Zenlytic’s Founders Ryan Janssen and Paul Blankley

In this engaging conversation, Ryan Janssen and Paul Blankley, co-founders of Zenlytic, share their journey from academia to building AI-powered business intelligence tools. They discuss the intersection of AI and data, the evolution of language models, and the challenges in model training. The duo emphasizes the importance of balancing data with intuition in decision-making and highlights the significance of multimodal data insights. They also touch on the fun behind naming their AI agent and the future of AI in analytics.
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Nov 25, 2024 • 4min

The PRQL: Large Language Models Haven’t Always Been Large with Ryan Janssen and Paul Blankley from Zenlytic

Discover insights from experts in data analytics as they delve into the evolution of language models. They share fascinating experiences that connect AI with business intelligence. The conversation highlights how these tools are reshaping data infrastructure and driving better outcomes. Enjoy a deep dive into the significance of data privacy and security in the realm of analytics. Tune in for an engaging discussion that blends technical expertise with real-world applications!
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16 snips
Nov 20, 2024 • 55min

216: From Raw Data to Business Results: Building High-Impact Data Teams with Ethan Aaron and John Steinmetz

Ethan Aaron, Founder and CEO of Portable, and John Steinmetz, Head of Data at Gallo Mechanical, share their insights on building impactful data teams. They discuss the differences between data and engineering teams, highlighting how structure varies across industries. The importance of aligning data initiatives with business goals and navigating the unique challenges of various sectors, like finance and construction, is emphasized. Additionally, they tackle the role of data in driving daily business value and the critical nature of establishing trust in data practices.
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Nov 18, 2024 • 4min

The PRQL: Understanding Business Needs Before Building Data Solutions with Ethan Aaron and John Steinmetz

Explore the significance of understanding business needs before developing data solutions. Two experts dive into the dynamics between data teams and traditional engineering groups, shedding light on how alignment can enhance efficiency. They share insights on navigating team interactions and ensuring data initiatives resonate with overarching business goals. The conversation is packed with tips for improving resource management and minimizing inefficiencies in data-driven environments.
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5 snips
Nov 13, 2024 • 53min

215: Data Sharing and the Truth About Data Clean Rooms with Patrik Devlin of Wilde AI

Patrik Devlin, founder of Wilde AI, dives into the world of data sharing and clean rooms, drawing on his rich background in software and data products. He discusses the evolution of QR codes, highlighting their marketing potential and rapid adoption during the pandemic. The conversation also explores the complexities of data clean rooms, the technical challenges they present, and innovative solutions like Snowflake. Patrik shares insights on data orchestration tools and emphasizes the importance of modern data infrastructures for efficient processing.
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Nov 11, 2024 • 3min

The PRQL: Data Sharing Deep Dive and Building Secure, Scalable, Flexible Data Solutions with Patrik Devlin of Wilde AI

Dive into the fascinating world of data engineering with insights on innovative predictive models. Explore the nitty-gritty of data clean rooms and their relevance in today's analytics landscape. The conversation unveils the potential of building secure and scalable data solutions for impactful business outcomes. Expect engaging anecdotes and expert opinions from a seasoned professional in the field. It's a captivating journey through the challenges and triumphs of modern data practices!
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9 snips
Nov 6, 2024 • 34min

214: Will Salesforce Be the Most Successful AI Company? And Do You Need That in Real-Time? Featuring the Cynical Data Guy

Matt Kelleher Gibson, known as The Cynical Data Guy, brings a sharp eye to the current landscape of data and AI. He dives into Salesforce's recent AI ambitions, critically analyzing the hype around Agent Force while discussing the brand's impact on sales. The conversation also navigates the challenges of real-time data processing versus historical data value, and the psychology behind data usage decisions. Listeners will enjoy insights on balancing immediate data needs with effective models and the evolving practices in managing data in sales.
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Nov 4, 2024 • 2min

The PRQL: A Take on Salesforce Agentforce and More with the Cynical Data Guy

Dive into a lively discussion on the latest trends in data, featuring witty commentary on influential LinkedIn posts. Expect a unique lightning round that keeps the pace fast and engaging. Discover fresh insights from prominent tech figures on the evolving landscape of AI and its impact on data strategies. The conversation promises to blend humor with deep dives into the practical applications of data tools.
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9 snips
Oct 30, 2024 • 47min

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

Taylor Murphy, CEO of Arch and a visionary in AI data analysis, takes listeners on a journey through the fusion of human expertise and AI in advanced data outcomes. He discusses the mission of Arch to democratize data expertise and improve analytics for businesses. The conversation dives into the cost efficiency of data management, challenges faced by mid-market companies, and the transformative role of AI in enhancing user experiences. Also touched upon are innovative collaboration strategies between humans and AI for improved productivity.
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4 snips
Oct 28, 2024 • 3min

The PRQL: From ETL to AI: Taylor Murphy’s Journey to Transform Data Analytics

Explore the transformation of data analytics through AI-driven practices. Discover how a rebranded company, Arch, is leading the charge in this field. The discussion highlights innovative approaches to integrating advanced data techniques with artificial intelligence, revealing the future landscape of data analytics.

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