The Data Stack Show

In this engaging discussion, a guest from Dagster Labs shares insights on transitioning from data engineering to marketing. Listeners will discover how data influences marketing strategies and the evolving landscape of data infrastructure. The conversation also highlights the importance of data privacy and security in today’s digital world. Expect to hear about creative approaches to leveraging data for better outcomes in businesses, making this a fascinating listen for anyone interested in the intersection of data and marketing.

Recording from a Waymo, the hosts explore the future of data technologies and the evolving role of AI in enhancing data practices. They discuss the unique perspectives on PostgreSQL and the significance of open-source projects in driving innovation. Insights from founders provide a rich context on product development, while a lighthearted chat about database mascots adds a fun twist. The conversation emphasizes the need for more tailored AI solutions rather than default chat interfaces, encouraging creativity in user experience.

The hosts dive into the fascinating insights gleaned from the Data Council conference in Oakland. They discuss the evolving landscape of the data stack and its implications for artificial intelligence. Additionally, they highlight exciting developments in data infrastructure. The conversation sets an intriguing stage for future explorations in how businesses can leverage data more effectively.

Highlights from this week’s conversation include:Introduction of Panelists (2:15)Understanding Product Development (4:42)Three Stages of Product Development (7:53)Collaboration Across Teams (11:20)Understanding Customer Pain Points (12:31)Designers, Explainers, and Sustainers Framework (15:17)AI in Product Development (18:09)Using AI Responsibly (22:53)AI in Sustaining Product Development (24:57)Brand Storytelling with AI (27:40)Tooling and AI Implementation (29:29)Pressure for AI Integration (34:05)The Importance of AI in Product Development (38:28)Contextual Advantage of AI (42:52)Evolution of Prototyping (46:11)The Balance of Speed and Critical Thinking (48:16)Understanding AI in Product Development (51:08)Navigating the Messy Process of Product Development (53:14)Final thoughts and Advice (56:32)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.

Highlights from this week’s conversation include:Mark’s Background and Journey in Data (1:08)Mark’s Time at Microsoft (5:33)Internal Adoption of Azure (9:20)Understanding Pain Points (11:06)Complexity in Software Development (13:15)Microservices Architecture Overview (17:15)Microservices vs. Monolith (22:08)Modernizing Legacy Applications (24:39)Dependency Management with Dapr (29:43)Infrastructure as Code (33:04)AI's Rapid Evolution and Vendor Changes (37:27)Language Models in Application Development (39:05)AI in Creative Applications (42:59)The Future of Backend Development (47:22)Streamlining Development Processes (49:29)Dapr as an Open Source Solution (51:11)Getting Started with Dapr and Parting Thoughts (51:39)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.

Discover the fascinating shift from monolithic architectures to microservices in the tech landscape. Insights on how AI innovations are transforming data handling are shared by an industry expert. The conversation also highlights the challenges developers face when navigating modern application architecture. Excitement builds for an upcoming data conference that promises to unveil cutting-edge discussions in the field.

Wills Tolbert, entrepreneur and founder of Ready.ai, shares his journey from real estate developer to AI innovator. He discusses the challenges of managing property data and transitioning from spreadsheets to advanced platforms. Wills delves into the intersection of sales dynamics and AI, emphasizing how Account Executives and Sales Development Representatives can enhance customer interactions. The conversation also highlights the importance of genuine communication and effective follow-up in sales, along with insights on data accessibility for informed decision-making.

Explore the intriguing crossroads of real estate and technology as a former broker shares insights on transitioning to software entrepreneurship. Delve into the evolving role of AI and data in the commercial real estate landscape. The discussion teases the complexities of integrating innovative solutions into traditional industries. Expect engaging anecdotes and expert opinions that illuminate the future of both real estate and AI.

Dive into the fascinating impact of AI on data teams and business models. Explore how AI is reshaping traditional roles and creating new structures within organizations. The discussion covers the significance of clean data, the evolving landscape of data tools, and the recent industry acquisition by Snowflake. Speculations on a dystopian future for data management are intriguing, while the importance of user-friendly interfaces and creative solutions in software development takes center stage. Get ready for a thought-provoking conversation!

The conversation kicks off with a fun look at the whirlwind evolution of data and AI technologies. The hosts highlight the booming investments from top tech companies, signaling a major shift in how we view data management. They delve into the contrast between the stability of traditional databases and the dynamic nature of front-end technologies. Expect insights on how these changes might redefine job titles in the tech industry, sparking a lively debate about the future of roles in the data landscape.