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In a world where data sovereignty, scalability, and AI innovation are at the forefront of enterprise strategy, PostgreSQL is emerging as the key to unlocking transformative business value. This new guide serves as your beacon for navigating the convergence of AI, open source technologies, and intelligent data platforms. Authors Tom Taulli, Benjamin Anderson, and Jozef de Vries offer a strategic and practical approach to building AI and data platforms that balance innovation with governance, empowering organizations to take control of their data future. Whether you're designing frameworks for advanced AI applications, modernizing legacy infrastructures, or solving data challenges at scale, you can use this guide to bridge the gap between technical complexity and actionable strategy. Written for IT executives, data leaders, and practitioners alike, it will equip you with the tools and insights to harness Postgre's unique capabilities—extensibility, unstructured data management, and hybrid workloads—for long-term success in an AI-driven world. Learn how to build an AI and data platform using PostgreSQL Overcome data challenges like modernization, integration, and governance Optimize AI performance with model fine-tuning and retrieval-augmented generation (RAG) best practices Discover use cases that align data strategy with business goals Take charge of your data and AI future with this comprehensive and accessible roadmap

This session explores tools and strategies to protect data, streamline development, and ensure compliance—empowering IT leaders and platform owners to operate confidently in an AI-driven world. Discover how Copilot Studio and Power Platform help enterprises manage agents with robust security, scalable governance, and operational health.

SPECIAL GUEST: Kiran Sreekumar, Databricks Architect

Data without governance is not just unmanageable, it’s a liability. As organisations scale their data platforms across teams, regions, and clouds, the need for consistent governance becomes critical. In this session, we’ll explore how Databricks Unity Catalog provides a unified approach to governance, enabling:

• Fine-grained access controls to secure sensitive data while empowering users.
• Centralised lineage and auditability for complete visibility across your data estate.
• Cross-region and multi-team compliance to meet regulatory requirements without slowing down innovation.

We’ll share real-world examples of how enterprises are leveraging Unity Catalog to:

• Reduce risk and prepare for audits.
• Simplify security management at scale.
• Accelerate data democratization with confidence.

Whether you’re a data engineer, architect, or governance lead, this session will provide practical insights into building a trusted data foundation with Unity Catalog. Why attend? ✅ Understand how to operationalise governance at scale ✅ See how leading organisations manage compliance in real-world scenarios ✅ Learn best practices to unlock secure collaboration and faster delivery Join us to discover how to turn governance from a blocker into an enabler of data and AI success.

Unlock the full financial potential of your Snowflake environment. Learn how to cut costs, boost performance, and take control of your cloud data spend with FinOps for Snowflake—your essential guide to implementing a smart, automated, and Snowflake-optimized FinOps strategy. In today’s data-driven world, financial optimization on platforms like Snowflake is more critical than ever. Whether you're just beginning your FinOps journey or refining mature practices, this book provides a practical roadmap to align Snowflake usage with business goals, reduce costs, and improve performance—without compromising agility. Grounded in real-world case studies and packed with actionable strategies, FinOps for Snowflake shows how leading organizations are transforming their environments through automation, governance, and cost intelligence. You'll learn how to apply proven techniques for architecture tuning, workload and storage efficiency, and performance optimization—empowering you to make smarter, data-driven decisions. What You Will Learn Master FinOps principles tailored for Snowflake’s architecture and pricing model Enable collaboration across finance, engineering, and business teams Deliver real-time cost insights for smarter decision-making Optimize compute, storage, and Snowflake AI and ML services for efficiency Leverage Snowflake Cortex AI and Adoptive Warehouse/Compute for intelligent cost governance Apply proven strategies to achieve operational excellence and measurable savings Who this Book is For Data professionals, cloud engineers, FinOps practitioners, and finance teams seeking to improve cost visibility, operational efficiency, and financial accountability in Snowflake environments.

Discover how customers improved Snowflake consumption efficiency, accelerated time-to-market for new use cases, and enabled their organization with data-driven decision-making. In this session, we will walk through actionable insights on crafting a FinOps strategy to align cost efficiency with business goals, Building capabilities across the Visibility, Control, and Optimize phases of the FinOps framework, empowering people and processes for cost governance and operational excellence and leveraging Snowflake-native tools and third-party solutions for optimization.

This presentation explores the evolution of data platforms—from data warehouses to data lakes—and highlights why the data mesh has emerged as an alternative approach for scalable, flexible architectures. Learn how Amazon DataZone addresses the complexities of data governance in a data mesh, simplifying federated governance, enabling secure access control, and automating metadata management.

AI That Sells: How Dataiku Turns Raw Financial Data into Revenue

In financial services, the biggest barrier to impactful AI isn’t strategy—it’s data readiness. In this 30-minute executive session, Celestial Systems reveals how Dataiku helps organizations go from siloed, messy datasets to fully operational AI use cases that actually drive revenue.

This isn’t another theoretical AI webinar. We’ll walk you through a live use case: a cross-sell marketing app built on labeled customer data, AI-generated sales arguments, and human-in-the-loop workflows. You'll see how tools like Dataiku simplify the hard stuff—joining and cleaning data, labeling and segmenting customers, and embedding AI safely into production.

Register Here!

What you’ll learn:

• How Dataiku streamlines the path from raw data to AI-ready pipelines—no heavy coding required.
• Real-world techniques for preparing, enriching, and labeling customer data for LLM-powered personalization.
• How financial institutions are using AI to boost marketing performance while maintaining governance and auditability.
• Why a centralized, explainable data pipeline is key to cross-functional success with AI.

Why attend? If you’re a CIO, data leader, or digital transformation owner looking to deliver fast, measurable AI outcomes—without overhauling your entire tech stack—this session shows you what’s possible with the right tools and team.

Register Now!

Celestial: Empowering Enterprises Since 2001 Based in Vancouver, Canada with worldwide offices and a fully in-house engineering team, we combine a heritage of industry leadership in application engineering with deep expertise in data and AI solutions. At Celestial, we're passionate about empowering enterprises to leverage the power of AI to unlock new opportunities, minimize risk, and sharpen their competitive edge.

Hi Everyone,

We’re thrilled to announce that Meet-Up #7 is now confirmed for Tuesday 1st July 2025! 🎉

Join us at our London HQ, 100 Liverpool Street, for an evening packed full of insightful talks, great conversations and plenty of opportunities to connect with like-minded individuals.

Of course, it wouldn’t be a proper meet-up without pizza and refreshments to keep the energy high all night! 🍕🥤

🕕 Doors open for networking at 18:00 🎤 The first talk kicks off at 18:30 🚪 Wrapping up at 20:30

We can’t wait to see you there!

#1 Kat Holmes \| Data Director @ Siemens Energy Data Readiness - The Elephant in the AI Room Kat has been transforming organisations through data and technology leadership for the past 20 years – most recently as a data director specialising in strategy and governance. Currently holding a senior leadership role at Siemens Energy, the world's most influential energy technology company, Kat's key responsibilities include driving data readiness for AI throughout the organisation.

She has also recently been able to integrate her lifelong commitment to ESG into her data career, through her public talks on diversity, inclusion and belonging in data teams. In 2021, Kat founded MenopauseX, on behalf of Women in Data®. MenopauseX is an initiative whose mission is to help organisations better support their staff through leveraging data and analytics.

#2 Muna Tutton, Muna Tutton, Strategic Initiatives Lead, FTSE Russell Engineering, LSEG Lighting the Fire: How Hackathons Ignite Change in Financial Services

Muna will be be sharing how a journey from physics to the fast-paced world of financial services taught me that the toughest challenges aren’t just technical — they’re human. From architecture roles to hackathons, I’ll share how embracing ambiguity and empowering people to act can turn ideas into impact.

#3 Barbara Correia, Lead Data Scientist @ Mesh-AI & Alejandra Gutierrez, Software Engineer @ Schroders Scaling Equity Research: A Multi-Agent Approach to Analytical Workflows

Alejandra is a graduate software engineer at Schroders, where she works in the AI research team. She has a degree in Biomedical engineering from Imperial College. Barbara is a Lead Data Scientist at Mesh-AI and has been working on the Agentic Scope, focusing on the FS industry.

As AI agents become more powerful and widely adopted, enterprises face a new challenge: how to build them on a foundation of trustworthy, AI-ready data that includes both structured and unstructured data. Unstructured data introduces new complexity for organizations already contending with large and growing volumes of data that is often distributed and disconnected, and from more information sources. In this episode, Stephanie Valarezo, Program Director, Product, from IBM Data Integration, shares how organizations can simplify and scale the integration, access and governance of unstructured and structured data. Explore how IBM is simplifying the enterprise data stack by empowering teams to integrate structured and unstructured data, using batch, real-time streaming, or replication techniques, while extending governance beyond the data layer to the AI agents themselves. Whether you're modernizing legacy infrastructure, accelerating agent development, or building robust governance strategies, this session will give you a blueprint to: Unlock the value of unstructured data for enterprise-grade AI Accelerate data intelligence through built-in observability and governance Simplify your tech stack while improving trust and traceability in AI outputs Learn more about watsonx #sponsored   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter