How AI Supercharges Your Data Platform

WEBINAR
28/05/2026 | 14h

28/05/2026

14:00 - 14:45

Webinar

Agenda

14:00 - 14:30: Webinar - How AI Supercharges Your Data Platform

14:30 - 14:45: Q&A


Abstract

AI doesn’t replace your data platform; it amplifies its value when the platform is designed for trusted access, governance, and operational scale. In this webinar, we show decision-makers how to turn an existing data platform into an AI enablement layer that delivers measurable outcomes: faster insight, better self-service, reduced manual effort, and new “AI-first” experiences for business teams.

We’ll walk through a practical set of use cases and the platform capabilities they require:

  • Chat With Your Data for decision support: build ChatGPT-like experiences over internal documents and curated datasets. 

  • Embeddings, vectors, and semantic search: why vectors matter, what “embedding pipelines” look like, and how vector databases/indexes enable semantic discovery, recommendations, and better retrieval for RAG. We’ll compare platform-native options (e.g., Fabric vector database concepts) with lakehouse-grade implementations.

  • AI-assisted development for data teams: how copilots accelerate notebooks, transformations, and analytics delivery—while still requiring guardrails (standards, code review, and testing) to stay reliable.

  • Classification & enrichment at scale: using AI to label, route, and enrich records (tickets, emails, customer feedback, contracts), then pushing results back into governed models so BI and operational workflows benefit.

What you’ll leave with: a clear decision framework for where AI fits in your platform, what to prioritize first (governance, lineage, security, evaluation), and a realistic roadmap to move from pilots to production. We’ll also highlight where targeted consultancy typically delivers the fastest ROI; use-case selection, reference architecture, embedding/vector design, RAG quality evaluation, and operating model setup (so your team can scale sustainably).

Who should attend

Data & analytics decision-makers, data platform and engineering leaders working with Microsoft Fabric, Azure, or Databricks, analytics & BI managers driving self-service and operational value, and anyone who wants to scale AI on top of a trusted, governed data platform.

 

Presenter: Sander Allert

Questions? We'll be happy to hear from you at info@Plainsight.pro!


Sander allert

Sander Allert is a senior Data Architect at our data analytics consulting firm. He has hands-on delivery experience across both Databricks and Microsoft Fabric, helping customers design scalable analytics platforms; from cloud-native lakehouse environments to enterprise-grade hybrid architectures integrating on-prem systems. Sander focuses on pragmatic trade-offs: cost, governance, performance, and operational simplicity; always tied back to what the business needs and what teams can sustainably run.

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