Gesamtlänge aller Episoden: 3 days 11 hours 35 minutes
Our guest is, Asa Whillock, Vice President and General Manager of Machine Learning and Artificial Intelligence at Alteryx.
Together we explore the art of building an analytics-driven culture with a deep dive into AI, uncovering the transformative power of responsible AI adoption. With a treasure trove of insights and expertise, Asa shares the secrets to integrating AI seamlessly, responsibly, and ethically into your organization's DNA...
In this episode, I am joined by Eric Dodds, Head of Product Marketing at RudderStack, the warehouse native CDP.
Dive into the world of data as we uncover the biggest mistakes companies make and, more importantly, how to set things right. Eric brings a decade of experience, having advised giants like BMW and WeWork and innovative startups on data strategy...
Get ready to embark on an empowering journey into the world of data-driven leadership! In this episode, we're joined by Ben Jones, the CEO of Data Literacy and the brilliant author behind 'Leading in the Age of Data.' With decades of experience leading data teams and assessing organizations worldwide, Ben unveils the seven critical factors that empower teams to make data-informed decisions...
In this episode, I am interviewing Bill Schmarzo, the brilliant author behind 'AI & Data Literacy: Empowering Citizens of Data Science.' Join us as we delve into the fascinating world of data, AI, and the power of becoming a 'Citizen of Data Science.'
Bill unlocks the secrets to navigating data privacy, ethics, and the inner workings of AI, all while empowering individuals and organizations to make informed, impactful decisions...
In this episode, we're stirring up a robust concoction of data wisdom and craft beer appreciation! Join us as we sit down with the CMO of IBM Databand, Ryan Yackel, to delve deep into the fascinating world of data observability. Ryan will share his exclusive insights on achieving proactive data observability through 5 key steps that are vital in steering your data pipelines to success...
Unlock the keys to becoming a true data virtuoso in this compelling episode! Join us as we dive into the dynamic world of data analytics with the brilliant mind behind the book, 'Be Data Analytical,' Jordan Morrow.
Whether you're a curious learner or a business leader seeking to harness the power of data, this conversation is your guide to cultivating a data-driven mindset...
Companies know how important it is to inherently understand their customers, yet they rely on surveys, testimonials, or customer service calls to gather intel. In reality, language is not the most authentic way to understand humans. Play is.
With one of the largest psych databases in the world, Joe Schaeppi, CEO of Solsten, can dive into what it truly means to understand your customer and how Solsten is bridging the audience intelligence gap through the power of gaming...
Get ready to unlock the secrets to a more transparent data future! Join us in this captivating episode as we sit down with Lauren Maffeo, Senior Service Designer at Steampunk and Author of "Designing Data Governance from the Ground Up".
Delve into the world of data transparency and its profound impact on organizations, as we explore practical strategies to enhance data practices and build trust...
Prepare to embark on a journey into the fascinating world of LLMs (Large Language Models) and their transformative influence on data utilization. In this episode, we sit down with Ryan Janssen, CEO of Zenlytic, and Paul Blankley, Founder/CTO at Zenlytic who shed light on how LLMs are revolutionizing how companies interact with and extract insights from data.
Discover how LLMs pave the way for new interfaces that lower barriers to gaining valuable insights...
Unlock the secrets to maximizing the value of your data with an exhilarating episode on data observability vs. data quality! Join us as we sit down with Ryan Yackel, CMO of Databand.ai, and Stephanie Valarezo, Senior Product Manager, IBM Data & AI Data Integration (DataStage), to unravel the crucial distinctions between data observability and data quality.
Discover how these twin pillars empower organizations to ensure reliable, accurate, and trustworthy data...