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2020-Q1 2026-Q1

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Explore a case study in building safer, smarter cities

Join Andrew Hester from the City of Raleigh, NC, as he showcases how the City of Raleigh is leveraging real-time geospatial analytics with Vision AI to reduce pedestrian near-misses, protect field crews, and accelerate emergency response at dangerous intersections. Learn how automated alerts and unified data empower city leaders to make faster, smarter decisions for safer, more resilient communities. Powered by Esri, Microsoft, and NVIDIA.

Forging new frontiers: How Forza Steel built an AI-ready foundation

Enterprise leaders are driving continuous transformation to stay at the forefront of real-time intelligent growth. Join us to learn how Forza Steel collaborated with Kyndryl and Microsoft to build a unified AI platform with Microsoft Fabric, Power BI, and Azure IoT to drive real-time insights, automation, and predictive analytics across manufacturing, logistics, and finance, as well as migrate their on-prem SAP to RISE on Azure.

Traditional career ladders break when data roles span engineering, analytics, product, data science and now AI. Your data scientist ships production code, your analytics engineer shapes product strategy and your senior IC has no interest in management. This talk shares how we designed a career framework for Data at Pleo that recognises hybrid roles, using capability mapping data and talent reviews strategically to create compelling growth paths beyond people management.

Is BI Too Big for Small Data?

This is a talk about how we thought we had Big Data, and we built everything planning for Big Data, but then it turns out we didn't have Big Data, and while that's nice and fun and seems more chill, it's actually ruining everything, and I am here asking you to please help us figure out what we are supposed to do now.

📓 Resources Big Data is Dead: https://motherduck.com/blog/big-data-... Small Data Manifesto: https://motherduck.com/blog/small-dat... Is Excel Immortal?: https://benn.substack.com/p/is-excel-immortal Small Data SF: https://www.smalldatasf.com/

➡️ Follow Us LinkedIn: / motherduck
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Blog: https://motherduck.com/blog/


Mode founder David Wheeler challenges the data industry's obsession with "big data," arguing that most companies are actually working with "small data," and our tools are failing us. This talk deconstructs the common sales narrative for BI tools, exposing why the promise of finding game-changing insights through data exploration often falls flat. If you've ever built dashboards nobody uses or wondered why your analytics platform doesn't deliver on its promises, this is a must-watch reality check on the modern data stack.

We explore the standard BI demo, where an analyst uncovers a critical insight by drilling into event data. This story sells tools like Tableau and Power BI, but it rarely reflects reality, leading to a "revolving door of BI" as companies swap tools every few years. Discover why the narrative of the intrepid analyst finding a needle in the haystack only works in movies and how this disconnect creates a cycle of failed data initiatives and unused "trashboards."

The presentation traces our belief that "data is the new oil" back to the early 2010s, with examples from Target's predictive analytics and Facebook's growth hacking. However, these successes were built on truly massive datasets. For most businesses, analyzing small data results in noisy charts that offer vague "directional vibes" rather than clear, actionable insights. We contrast the promise of big data analytics with the practical challenges of small data interpretation.

Finally, learn actionable strategies for extracting real value from the data you actually have. We argue that BI tools should shift focus from data exploration to data interpretation, helping users understand what their charts actually mean. Learn why "doing things that don't scale," like manually analyzing individual customer journeys, can be more effective than complex models for small datasets. This talk offers a new perspective for data scientists, analysts, and developers looking for better data analysis techniques beyond the big data hype.

Level up Microsoft security for insider threats

Maximize the value of Microsoft Defender and Entra ID with OpenText™ Core Threat Detection and Response. Learn how behavior-based analytics complement your existing tools to unmask elusive threats (e.g. insider, novel, advanced persistent), streamline investigations, and reduce noise—no tuning or rule-writing required. See how you can do more with the telemetry you already trust.

Modernizing DNS/DHCP: Micetro across hybrid and cloud environments

Application slowdowns, failed logins, and jitter often trace back to DNS. Yet DNS failures are among the hardest to detect. BlueCat’s Intelligent NetOps combines flow and packet analytics with DNS telemetry, giving NetOps and DDI teams a shared view of root causes. Gain insight into how integrated observability and assurance reduce MTTR, automate detection, and resolve DNS-driven outages before they impact users.

Harness the power of real-time analytics and digital twins to achieve critical operational tasks. In this lab, you'll learn how to transform physical systems into dynamic digital replicas, enhancing simulations and optimizing operations. Discover how to build end-to-end solutions for event-driven scenarios, streaming data, and data logs. These practical steps will empower you to drive smart decision-making and foster innovation within your organization.

Powering Azure Fabric and AI with Eon’s Data Lake

With Eon on Azure, backups don’t just sit idle—they become a first-class data source. Eon transforms cloud backups into Iceberg tables in Blob Storage, instantly queryable through Microsoft Fabric and OneLake. Learn how backup data flows into Fabric engines like SQL, Spark, and KQL, and how it fuels AI innovation with Azure OpenAI. See how organizations can collaborate more effectively by unifying protection, analytics, and AI on Eon’s data lake.

A playful take on retro gaming meets real-time data analytics and AI. Dive into an end-to-end architecture that ingests user interactions in various shapes and forms, and provides a tailor-made game experience to the end user using Gemini.