Data Lake stories
Joint customers can search telemetry in place, cutting duplication and storage costs while improving security visibility across hybrid cloud estates.
Security teams will gain a single workflow for incidents as the new tie-up links network and endpoint telemetry across investigations, hunting and visibility.
The expanded deal aims to help customers ground AI in their own data while easing governance and cost concerns across Microsoft tools.
Engineering teams from Nine, Xero and Canva will show how real-time data tools are being used to support AI and observability in production.
Businesses risk flawed AI decisions unless enterprise software embeds industry context, governance and real-time data at its core.
Enterprises can now run AI agents on live PostgreSQL data with governance controls, as EDB expands its Postgres AI platform.
Enterprises can now query file-based data in Snowflake and Databricks without first moving petabytes into a lakehouse, cutting AI prep delays.
AI pilots are faltering where firms still judge success by hours saved, leaving customer value and workforce design unresolved.
Investment in AI-powered monitoring is rising as firms race to prevent hallucinations, outages and security risks in production systems.
The platform could cut the time and cost of preparing siloed files for AI, with queries fed from metadata rather than full data copies.
Businesses will be able to share AI models and unstructured data across clouds and on-premises systems without custom integrations.
AI agents can now tap enterprise data in Microsoft OneLake with citations, as Pinecone claims lower token use and faster responses.
Joint customers can search distributed telemetry without centralising it, cutting storage and ingestion costs across hybrid cloud and private systems.
It may help regulated customers use archived data for AI without moving sensitive records into separate systems, reducing compliance risk.
Customers will be able to query live data across systems with less duplication, as Snowflake expands governance for AI workloads and Iceberg tables.
Enterprises get a single control layer for AI agents and data as Snowflake adds security and governance tools to curb errors and misuse.
Customers will get tighter controls and new streaming and interoperability features as Snowflake expands its platform around enterprise data.
Finance and analytics teams could cut manual exports as the new service pushes ERP data directly into reporting tools and keeps connections intact.
Enterprises building AI data platforms will soon be able to pair private connectivity with object storage through a single interface.
The new system aims to cut complexity for enterprises as AI agents need live access to structured, unstructured and vector data.