GOOGLE RETIRES VERTEX AI, LAUNCHES GEMINI ENTERPRISE AGENT PLATFORM AND AGENTIC DATA CLOUD
Google folded Vertex AI into the new Gemini Enterprise Agent Platform and introduced an Agentic Data Cloud to ship production AI agents on a unified stack. Goo...
Google folded Vertex AI into the new Gemini Enterprise Agent Platform and introduced an Agentic Data Cloud to ship production AI agents on a unified stack.
Google’s move consolidates training, inference, orchestration, memory, observability, and governance under one banner with strong early adoption and growth, per the Business Analytics Review write‑up of Cloud Next 2026 source. WebProNews details the broader full‑stack push, from chips to Workspace, and the consolidation of Agentspace into the same platform source.
For data teams, InfoWorld’s coverage of the Agentic Data Cloud is the signal: a shared intelligence layer with a new Knowledge Catalog that extends Dataplex into a semantic graph across BigQuery and third‑party systems, plus previews for embedding business logic and a LookML‑based agent source.
Ops isn’t left out: Gemini Cloud Assist’s agentic upgrade is now generally available, with proactive cost and reliability workflows and real customer impact, according to WebProNews’ summary of the Google Cloud Blog and event session source. Partners also get a $750M push to accelerate enterprise builds source.
A single, governed stack for agents and data semantics cuts glue code, reduces integration risk, and shortens the path from pilot to production.
BigQuery + Knowledge Catalog promise a practical route to context grounding, lineage, and auditability for agent decisions at enterprise scale.
-
terminal
Stand up a narrow pilot using Knowledge Catalog to map two critical datasets (one structured in BigQuery, one unstructured in Cloud Storage) and measure retrieval/accuracy lift for an agent task.
-
terminal
Enable Gemini Cloud Assist in a non‑prod project to trial FinOps anomaly detection and recommended remediations; track false positive rate and time‑to‑insight.
Legacy codebase integration strategies...
- 01.
Inventory Vertex AI workloads and Agentspace flows; plan a phased migration to the Gemini Enterprise Agent Platform, preserving model endpoints and observability pipelines.
- 02.
Connect third‑party catalogs (e.g., Salesforce, SAP) into Knowledge Catalog to build a minimal semantic layer without moving all data on day one.
Fresh architecture paradigms...
- 01.
Design new services around an agentic architecture from the start: memory, tool use, and governance as first‑class components instead of add‑ons.
- 02.
Model your domain semantics early in Knowledge Catalog so BigQuery, agents, and governance share a single source of business truth.
Get daily GOOGLE-CLOUD + SDLC updates.
- Practical tactics you can ship tomorrow
- Tooling, workflows, and architecture notes
- One short email each weekday