How Collaborative, Agentic AI Turns Data Work into Live Decision-Making | Ep 46 скачать в хорошем качестве

How Collaborative, Agentic AI Turns Data Work into Live Decision-Making | Ep 46

Explore Data Neighbor free workshops on AI evaluation and agentic analytics (plus our live, hands on course): https://dataneighbor.com/ Learn more about Count: https://count.co/ In this episode of the Data Neighbor Podcast, we sit down with Ollie Hughes, co founder and CEO of Count, to unpack why traditional BI often fails at the real job teams hire data for: making better decisions, faster. If you care about the future of analytics workflows, this is a must watch. Connect with the team (tell us YouTube sent you!): Shane Butler: https://linkedin.openinapp.co/b02fe Sravya Madipalli: https://linkedin.openinapp.co/9be8c Hai Guan: https://linkedin.openinapp.co/4qi1r Connect with Ollie:   / hughesoliver   In this episode, you’ll learn: Why dashboards are not designed for collaborative decision making What the “service trap” is and how it keeps data teams in reactive work How operational clarity helps companies simplify what matters Why a canvas based interface changes how teams reason with data What collaborative analysis looks like in practice between analysts and stakeholders How agile decision making can reduce time to insight and time to decision How Count thinks about AI agents for analytics without black boxes What skills will matter most for data teams as AI takes on more of the mechanical work Chapters: 00:00 Introduction to Count and Data Challenges 04:06 Ollie's Journey in Data and Analytics 08:05 The Limitations of Traditional BI Tools 11:42 The Service Trap in Data Teams 23:12 Operational Clarity and Simplification in Data 26:07 Count's Unique Approach to Data Visualization 29:31 Collaborative Data Analysis 33:29 Agile Decision-Making in Data Teams 36:35 The Role of Data Teams in Business 40:48 Transforming Data Communication 44:29 Customer Feedback and Impact 47:27 Leveraging AI for Enhanced Data Analysis 55:47 Future Skills for Data Teams #datapodcast #analytics #businessintelligence #datatools #datascience #aiforanalytics #agents #agenticanalytics #aievals #productanalytics #dataleadership #dataneighbor #count