Jess Kyle, Data Architecture Manager, discusses how data leaders can drive real business impact. Learn how to build high-trust, high-performance data teams, transition out of reactive “data service desk” mode, and lead with influence across the organization. Jess shares leadership strategies for managing stakeholder expectations, communicating tough data truths, and fostering a data-driven culture.

Archit Shah, Staff Software Engineer - Data at VTS, shares the company’s journey toward decentralized data management and the lessons learned along the way. He explores the shift from a centralized model, the operational and cultural changes required to empower domain teams, and how tools like Select Star drove adoption.

Snehal Karanjkar, Product Analytics Lead, shares his insights and lessons learned while implementing a data catalog. He explores the challenges faced by data teams in engineering and analytics, and how Select Star has been instrumental in improving data visibility and driving adoption of data tools.

Read the recap at https://www.selectstar.com/resources/data-catalog-implementation

Jeff Rosen, CEO of Qbiz, discusses the evolving landscape of data governance and stewardship, sharing real-world examples that highlight the critical role of data stewards in implementing governance frameworks, integrating AI into data stewardship, and what to look forward to in data governance tools and practices.

Read the recap at https://www.selectstar.com/resources/data-stewardship-data-governance

Ross Helenius, Director of AI Transformation Engineering & Architecture at Mimecast, leverages over a decade of analytics engineering & BI experience to share how to unlock the value of data for AI and AI for data.

Read the recap: https://www.selectstar.com/resources/generative-ai-for-data-management

David Gelman, Director of Data Solutions, and Danny Lee, Director of Growth & Strategy, from Brooklyn Data (Velir's data studio) share how they’ve helped organizations get to reliable, accurate data to leverage AI in daily operations and drive business value.

Read the recap: https://www.selectstar.com/resources/data-preparation-for-ai

Drawing from her extensive experience in financial services, Julia Bardmesser, founder and CEO of Data4Real shares insights on data lineage, its significance in AI and modern data management, and the challenges of implementing it in legacy environments.

Read the recap at https://www.selectstar.com/resources/metadata-for-ai

Tris Burns, data leadership coach and consultant, explores the evolving role of data leaders in organizations. From Tris' journey in finance to becoming a passionate advocate for data-driven decision making, we delve into the challenges and opportunities facing modern data teams.

Read the recap at: https://www.selectstar.com/resources/data-leadership

Lindsay Murphy, Head of Data at Hive, shares valuable insights on building effective data teams and delivering business impact. She discusses key strategies for data professionals to drive value and align with organizational goals.

Read the recap at https://www.selectstar.com/resources/building-a-data-team

Kasia Rachuta, Data Science Tech Lead at Square, offers valuable insights into fostering a data-driven culture within organizations. She explores how data-driven decision-making has transformed Square's approach to product development and customer experience.