Top Tweets for #DataAIsummit
In this #DataAISummit session, learn how @Superhuman standardized data ingestion, accelerated AI-ready workflows, and contributed to a 10% lift in customer lifetime value with Fivetran and @databricks.
Watch the full session https://t.co/ZloG5oHop5
[DEMO] Shift your organization from the old world of “tokenmaxxing” to the new era of “valuemaxxing” with Unity AI Gateway.
At #DataAISummit, Databricks Software Engineer @ankit_math showed how real-time budget policies can guide developers toward more token-efficient models, Omnigent can route work based on task complexity and quality needs, and centralized agent tracing in Unity Catalog can help teams govern usage and stay in control.
Watch the full demo: https://t.co/1KOXPE0f5j
Omnigent helps teams move beyond one developer, one model, and one laptop by making agent work persistent, collaborative, and portable across harnesses.
In this #DataAISummit 2026 session, see how Omnigent supports shared context, reusable agents, multi-agent collaboration, intelligent routing, and governance through Unity AI Gateway.
Watch the full session: https://t.co/6docQzn6RM
Genie Code goes beyond code generation to support data engineering across authoring and production.
In this #DataAISummit 2026 session, see how builders use Genie Code to create Spark Declarative Pipelines and Lakeflow Jobs, while Genie ZeroOps proactively monitors production workflows, diagnoses issues, and validates proposed fixes in a sandbox before changes reach production.
Watch the full session: https://t.co/RZUl1T42vi
What if teams could generate and validate business data models in days, then iterate on them in minutes?
In this #DataAISummit session, Cary Moore and Roberto Bruno Martins show how Vibe Data Modeling produced a 679-table enterprise model across 21 domains, then paired it with Metric Views to make Genie Spaces cheaper, faster, and more accurate.
Watch this session, explore more technical breakouts, and catch the keynotes on demand →
https://t.co/3JaD5uZMsn
Customer-facing dashboards and embedded analytics often rely on a separate real-time serving layer for low-latency, high-concurrency workloads, adding complexity, governance risk, and infrastructure overhead.
In this #DataAISummit session, Databricks’ Himanshu Raja and Matthew Holzapfel explore how Lakehouse//RT can serve high-concurrency, end-user analytics directly from the lakehouse through customer case studies and benchmarks.
Watch this session, other featured sessions, and the full keynotes on demand 👉
https://t.co/xqco0WxxB5
Missed the #DataAISummit 2026 keynote?
This five-minute recap covers every major product announcement, including:
- Genie One, Ontology, App Builder, and ZeroOps
- Lakehouse//RT powered by Reyden
- LTAP
- Unity AI Gateway
- Omnigent
- CustomerLake
- And more
See what you missed, then explore the full keynotes, demos, and select sessions on demand → https://t.co/1s7f5uxOUx
At #DataAISummit 2026, we introduced Genie Code for machine learning – new, extended support for the entire ML lifecycle.
Genie Code is now natively integrated with the complete Databricks ML stack, including feature engineering, model training, serving, and monitoring.
Learn more: https://t.co/hqaepIuo76
The biggest announcements and technical sessions from #DataAISummit are now available on demand.
Catch keynotes and select sessions featuring the latest innovations, including:
• Omnigent
• Unity AI Gateway
• Genie Ontology
.. & much more
Explore the technologies shaping the next generation of AI apps and agents:
https://t.co/1s7f5uxOUx
The best of #DataAISummit is now available on demand.
Watch keynotes and select sessions featuring the latest product announcements, technical deep dives, and expert conversations.
Start watching:
https://t.co/kCpJIB5CQz
AI ROI vs. AI experimentation — what's the difference? @Nasdaq asked executives across industries at the @Databricks #DataAISummit to find out. Watch: https://t.co/eazYCjMjAF
#DataAISummit 2026 may be over, but the keynotes and select breakout sessions are now available on demand!
Catch up on this year's top product announcements, technical sessions, and customer stories: https://t.co/kCpJIB5CQz
#DataAISummit 2026 was packed with product announcements, hands-on training, and technical insights.
Missed a session?
Catch up on Genie One, LTAP, CustomerLake, and more by watching the keynotes and select breakout sessions on-demand: https://t.co/kCpJIB5CQz
At #DataAISummit, @matei_zaharia, Co-founder and CTO at Databricks, announced Omnigent: an open meta-harness that sits as a layer above your agents and makes them interoperable parts of a powerful system.
Omnigent provides a common interface to compose multiple agents, enforce advanced policies, and collaborate in real-time across your team.
https://t.co/hOpOJTrdZH
More than 110 features has been released since last DAIS for SQL Data Warehousing.
#Databricks #DataAISummit
Still catching up on everything from #DataAISummit 2026?
Last week, leading experts, researchers, and open source contributors from Databricks and across the community shared the latest innovations, product announcements, and technical insights shaping the future of data and AI.
Catch keynotes, breakout sessions, and technical talks from this year's event on-demand: https://t.co/1s7f5uxOUx
Databricks co-founders @matei_zaharia and @rxin joined @latentspacepod following #DataAISummit to discuss the ideas shaping the next generation of data and AI, including Omnigent, LTAP, Lakebase, agent security, open formats, and what it takes to build for the agent era.
Watch the full conversation for a behind-the-scenes look at the thinking behind some of this year's biggest announcements. https://t.co/8cE28sTmAo
Databricks Co-founder and Chief Architect @rxin announces LTAP (Lake Transactional/Analytical Processing) at #DataAISummit 2026.
LTAP is a new data processing architecture that unifies OLAP and OLTP on a single copy of data in the lake, eliminating ETL, replicas, and pipelines by design.
https://t.co/F7mYGvKTqS
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