Data Lake stories
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.
It could help enterprises avoid costly replatforming, as the firms link governed data access with AI tools across distributed systems.
Australian firms can avoid costly upgrade pain and AI risks by pairing Clean Core with governed data and trusted partners.
Billing now accounts for most usage of Cloudflare's new internal platform, as staff query live data through Trino-backed Town Lake and Skipper.
Enterprise AI teams could gain easier access to governed data as Informatica plugs its tools into Microsoft Foundry and Fabric.
Security teams can now prioritise incidents involving sensitive data, as Cato's XOps adds Cyera's platform worldwide.
The tie-up could cut data movement and speed up enterprise AI by letting customers use live Amazon S3 data without migration.
The funding will help the cyber security start-up expand in Japan and Europe as it pushes AI tools to cut investigation times and false positives.
The deal could help customers analyse SAP and non-SAP data together, as businesses struggle to make artificial intelligence useful across fragmented systems.
Joint customers can search telemetry in place, cutting duplication and storage costs while improving security visibility across hybrid cloud estates.
Businesses risk buying polished dashboards that still cannot reason across documents, rules and warehouse data when AI is bolted on.
