Nimble Learn

Experts in delivering analytics and AI solutions built with Microsoft Power BI, Fabric, and Azure. Posts about analytics and AI. Creators of @opendatablend.

[Nimble Learn @nimblelearn]

AI experimentation is getting easier. Production is where the hard work begins.

Microsoft, Databricks and Snowflake are focusing on deployment, observability, evaluation and controlled autonomy.

Our September roundup: https://t.co/YFH7cp0bdm

#EnterpriseAI #AgenticAI

[Nimble Learn @nimblelearn]

#MicrosoftFabric is unifying #SQL pools across UI and APIs.

Simpler experience, but automation and integrations may need attention.

Platform change still creates engineering work.

Read more: https://t.co/HcyWlmMF6F

[Nimble Learn @nimblelearn]

#EmbeddingGemma2 brings open, multimodal embeddings to on-device #AI.

Developers can explore private semantic search, RAG, & cross-media retrieval.

Find out more: https://t.co/nJj7lgL94D

[Nimble Learn @nimblelearn]

#Microsoft’s Copilot harness makes multi-model #AI easier.

Right model, right task, less orchestration. But flexibility isn’t independence. Are we reducing lock-in, or just moving it?

Read more: https://t.co/k1Y40fj8xp

[Nimble Learn @nimblelearn]

#Google’s #AI updates spotlight open-source opportunities in data analytics, from MedGemma to methane detection.

Find out more: https://t.co/T5iWJHllyB

[Nimble Learn @nimblelearn]

#Eventhouse now supports #OneLake security in Microsoft Fabric.

A welcome step towards consistent governance, but centralised security still depends on getting your access model right.
https://t.co/G8mHYwaWfS

[Nimble Learn @nimblelearn]

#MicrosoftFabric's OneLake catalog Govern experience is now GA! Combined with #OpenSource Govern Skills, AI agents can help audit governance gaps, prioritise fixes, and improve data estate health. A step toward scalable, AI-powered data governance: https://t.co/HxcHKrePfy

[Nimble Learn @nimblelearn]

The #PowerBI October update tackles some familiar reporting headaches.

Native Gantt, smarter slicers, AI-assisted visuals and better capacity handling.

Some are still Preview, so test first.

https://t.co/yz0ohaCEdl

[Nimble Learn @nimblelearn]

With a modern #Data & #AIPlatform, manufacturers can:

- Connect disparate systems or query data where it already lives

- Create trusted, governed data products that connect information across plants and functions.

Read on for more: https://t.co/8PNbWbewYX

[Nimble Learn @nimblelearn]

Another #dashboard isn’t always the answer.

#FabricApps bring insight and action closer together.

The catch? One destination doesn’t guarantee simplicity. Good design and clear ownership still matter.

Find out more: https://t.co/GqX1Vxcuti

[Nimble Learn @nimblelearn]

Semantic layers are becoming increasingly important as #AIAgents move from simply querying #Data to understanding business context and taking action.

Read on for more:
https://t.co/NnsxeJ0XCw

[Nimble Learn @nimblelearn]

#AI can get us from prompt to dashboard faster.

But faster doesn’t mean better. Data quality, #Governance and human judgement still matter. Reduce the friction, not the scrutiny.

See the example: https://t.co/m9HqFBXJS2

[Nimble Learn @nimblelearn]

With #Databricks Unity Catalog managed tables, the data can stay in a cloud storage account you own, whether that’s S3, ADLS, or GCS, while Unity Catalog handles table management, governance, optimisation, and cleanup.

Read on for more:
https://t.co/drZnGR60q9

#UnityCatalog

[Nimble Learn @nimblelearn]

Monitoring several warehouses gets messy fast.

#MicrosoftFabric now brings query activity into one workspace view. Useful for spotting slow queries and failures, but it’s still Preview.

Read more: https://t.co/UGQHyIOH6r

[Nimble Learn @nimblelearn]

As #AI and agents accelerate how quickly teams build #Data solutions, the challenge isn’t simply getting a project to work; it’s making sure it can be deployed consistently, monitored effectively, and governed at scale.

Find out more:
https://t.co/BBof6qj3cw

[Nimble Learn @nimblelearn]

#DataGovernance gets harder as your estate grows.

#OneLake catalog brings a more central view, but tooling won’t fix poor metadata or unclear ownership. Governance still needs discipline.

Read more: https://t.co/HxcHKrePfy

[Nimble Learn @nimblelearn]

Scalar UDFs in #MicrosoftFabric could mean cleaner, reusable #SQL.

But they’re still in Preview.

Test with real workloads before betting on them. Reusable is useful. Predictable is better.

Read more: https://t.co/V404g74Yh1

[Nimble Learn @nimblelearn]

Instead of relying on manual downloads, spreadsheet manipulation and bespoke ETL, organisations can now programmatically move survey response #Data into analytics environments using #MicrosoftGraph.

Find out more:
https://t.co/B6ajgSbn2l

[Nimble Learn @nimblelearn]

What if asking a #GlobalData question was as easy as asking a colleague?

A huge amount of the world’s most important statistics already exists, but much of it is disconnected #DataSilos.

Read more: https://t.co/XSSSafnI9S

[Nimble Learn @nimblelearn]

For an agentic #SupplyChain, the foundation needs to bring together:

🔹 Harmonised master #Data: consistent identities for products, suppliers, customers, locations and resources.

Read on for more: https://t.co/G8xeN9UHf3

[Nimble Learn @nimblelearn]

The companies racing to build frontier #AI are now racing to govern it.

They are reportedly exploring a new industry body focused on frontier AI safety, covering areas such as #RiskAssessment, testing and pre-release reviews.

Read on for more:
https://t.co/Gw8p0J8eML