Preset

The future of AI analytics is open source.

[Preset @preset_data]

Preset Chatbot knows your workspace AND knows its limits.

It's context-aware (your data, your permissions, your semantic layer).

More at https://t.co/tl34YRhl37

#presetai #mcp #aianalytics

[Preset @preset_data]

This morning @ 9am pacific: semantic layers in @apachesuperset™

Pull up a chair! https://t.co/Dn88sm4iSe

[Preset @preset_data]

Tomorrow at 9 am: see Semantic Layer Extensions in action, what's new in @apachesuperset™, and live Q&A.

Can't make it?? Register and we'll send you the replay: https://t.co/Q1wpcPYL6Y

[Preset @preset_data]

"Ask AI about your data" only works if the AI and your team agree on what the data means.

Join our live convo about Semantic Layer Extensions in @apachesuperset™ on July 29 at 9 AM PT: https://t.co/8twGvCZDfX

#semanticlayer #apachesuperset #conversationalanalytics #ai

[Preset @preset_data]

Most AI analytics is disposable: ask, answer, then poof…your work is gone.

Preset's MCP lets an agent save its work as governed, reusable datasets, so your team and other agents can keep building.

https://t.co/8nSklxjZpw

#mcp #ai #preset

[Preset @preset_data]

Your AI is only as reliable as the semantic layer behind it.

Join us for a live talk on July 29 at 9 AM PT discussing Semantic Layer Extensions in @apachesuperset™. Define metrics once, get consistent output across dashboards, SQL, and AI.

Register: https://t.co/dUGJAUnwoB

[Preset @preset_data]

June by the numbers for #ApacheSuperset™: 767 PRs, 132 contributors, 68 first-timers.

Highlights: #AIchatbots now have a sanctioned way to plug into the extensions framework (SIP-214), a broad security-hardening push, and an expanding #MCPtool catalog.

https://t.co/pl5O0KG86C

[Preset @preset_data]

Missed our live demo of Preset Agent Skills? The recording's up.

Watch an #AI agent operate a real Preset workspace with the same safety steps and API know-how a seasoned #Superset engineer would use — install in under 5 minutes.

https://t.co/SQWwRZaOLz

#apachesuperset #mcp

[Preset @preset_data]

Preset Managed Private Cloud is now on #MicrosoftAzure — the only independent #BIplatform with managed private cloud across AWS, GCP, and #Azure.

VPC-level isolation, SOC2 Type 2, HIPAA-eligible — your data stays in your VNet.

https://t.co/q3P4B4SjJ4

#apachesuperset #BI

[Preset @preset_data]

MCP isn’t just about connecting #AI to your app. It’s about exposing the right capabilities.

Preset #MCP includes 25 purpose-built tools for real analytics workflows—from dashboards and charts to SQL, datasets, alerts, and reports.

Learn more 👉 https://t.co/WRTY8K3fS7

[Preset @preset_data]

✨ #AIagents have changed a lot in the past few months. So has Preset! From #opensource Agent Skills to 25 MCP tools and new technical resources, we’ve been focused on making AI agents more capable, reliable, and production-ready.

➡️ https://t.co/SZxEJtsddR

[Preset @preset_data]

Tomorrow, 9am PT join us for a live demo of Preset Agent Skills 🚀

Preset Agent Skills are versioned, installable instruction sets that teach an AI agent how to operate safely in a Preset workspace.

45 min, Zoom, free: https://t.co/ibUgeSFxRf

#presetai #mcp #aianalytics

[Preset @preset_data]

An AI agent sounds confident either way. Confidence ≠ correctness.

31 real Preset tasks. Preset Agent Skills matched or beat a bare agent on 30. Clear wins on 23.

Live demo Wed June 24, 9am PT: https://t.co/loP7rNPmHy

[Preset @preset_data]

Ask an AI agent to update a chart and it might hit the endpoint that overwrites it, not the one that exports it. Preset Agent Skills teach your agent the difference. See them run live on a real workspace, June 24, 9am PT: https://t.co/C2CAk9xgBY

[Preset @preset_data]

This June Fivetran and dbt merged into a $4.4B company owning ingestion and transformation, about 2/3 of a typical data stack. With Tableau, Power BI, and Looker all raising prices too, BI is the layer where you still have room to act.

https://t.co/XVeATXQ1Ad

[Preset @preset_data]

Your AI agent writes great code. But it doesn't know your Preset workspace.

Preset Agent Skills give any MCP-compatible client the judgment of a seasoned Superset expert. Join the Preset team on June 24 to see them in action: https://t.co/hAc87xLukg

[Preset @preset_data]

Max & Evan on the ODSC AI X Podcast talking Gen UI, MCP, agentic analytics, and why dashboards still matter in an agent-driven world. 🎧 https://t.co/GrrGugNmWy

[ODSC (Open Data Science Conference) AI @_odsc]

🎙️In this episode of the ODSC Ai X Podcast, we speak with @mistercrunch and @rusackas79893, @preset_data about Generative UI and the future of agentic analytics.

🎧 Listen here: https://t.co/XOEgmewRDr

[Preset @preset_data]

"Seems better" is not a result. We benchmarked Preset Agent Skills against a regular agent across 31 real tasks. Our skills matched or won on 30. Clear wins on 23. Deep dive by Richard Fogaça Nienkotter: https://t.co/j38BttSf6i

#presetai #agentskills #conversationalanalytics

[Preset @preset_data]

4/ Apache 2.0, on GitHub. The instructions an AI follows in your production environment should be readable, auditable, and forkable https://t.co/8X5qs8nJLl

[Preset @preset_data]

Today we're announcing Preset Agent Skills—an open-source library that gives any AI agent curated knowledge of how to work with Preset, @apachesuperset™, and your data.

https://t.co/E9WmylCP8y

#presetai #agentskills #aianalytics #opensource

[Preset @preset_data]

3/ The same packages install across Claude Desktop, Claude Code, Codex, Cursor, GitHub Copilot, Snowflake Cortex Code CLI, and Gemini CLI. One layer of expertise, every major AI client