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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>AI & Machine Learning</title><link>https://cloud.google.com/blog/products/a…-
<p><span style="vertical-align: baseline;">Buffmee is an interactive AI service built on the concept of 'AI that helps you grow.' By grounding responses in over 100 sources — including books, magazines, and web media — it helps users search for information, summarize key points, and expl…+
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>AI & Machine Learning</title><link>https://cloud.google.com/blog/products/a…+
<p><span style="vertical-align: baseline;">Gemini Enterprise helps organizations bring helpful, secure AI directly into the daily work of their employees. It moves teams past basic chat interactions to automating multi-step, end-to-end workflows with AI agents. It connects with the tools…+
<p><span style="vertical-align: baseline;">We see this recognition from Gartner as validation of our goal: creating a unified platform where everyone — from business users to developers — can work alongside AI agents to accomplish more together.</span></p></div>+
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<div class="block-paragraph_advanced"><h3><span style="vertical-align: baseline;">Our take on Google as a Leader</span></h3>+
<p><span style="vertical-align: baseline;">Amid a complex landscape of standalone AI tools and emerging platforms, Gemini Enterprise emerges as a unified, open agentic platform backed by Google’s full AI stack, with strengths mentioned in the report such as:</span></p>+
<ul>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Unified “AI front door”</strong><span style="vertical-align: baseline;">: Gemini Enterprise unifies enterprise chat and search, first and third-party agents, a no-code agent designer, Google Workspace integratio…+
</li>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Open connectivity:</strong><span style="vertical-align: baseline;"> Gemini Enterprise offers extensive connectivity beyond Google's ecosystem — extending to Microsoft 365, other third-party software, and interna…+
</li>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Simple economics: </strong><span style="vertical-align: baseline;">Gemini Enterprise offers a straightforward pricing model, with actions like chat and search included in the base SKU. Organizations can select &…+
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<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Built-in governance: </strong><span style="vertical-align: baseline;">Gemini Enterprise provides robust agent governance out-of-the- box at no extra cost, enabling enterprises to seamlessly manage users, agents,…+
</li>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Full-stack depth and scale</strong><span style="vertical-align: baseline;">: Google’s vertically-integrated stack provides </span><span style="vertical-align: baseline;">global infrastructure, custom…+
</li>+
</ul>+
<p><span style="vertical-align: baseline;">To read the full report, download it </span><a href="https://cloud.google.com/resources/content/2026-gartner-magic-quadrant-enterprise-ai-assistants"><span style="text-decoration: underline; vertical-align: baseline;">here</…+
<h3><span style="vertical-align: baseline;">Accelerating our vision with the latest Gemini Enterprise advancements</span></h3>+
<p><span style="vertical-align: baseline;">Over the past months, we have accelerated Gemini Enterprise with significant product advancements:</span></p>+
<ul>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Tailored industry solutions: </strong><span style="vertical-align: baseline;">We introduced specialized solutions for </span><a href="https://cloud.google.com/blog/products/ai-machine-learning/introduci…+
</li>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Google Antigravity in Gemini Enterprise: </strong><span style="vertical-align: baseline;">With the introduction of </span><a href="https://cloud.google.com/blog/products/ai-machine-learning/expanding-go…+
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<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">FinOps and cost controls: </strong><a href="https://cloud.google.com/blog/products/ai-machine-learning/flexible-billing-and-cost-controls-for-agents-on-google-cloud?e=48754805"><span style="text-decoration: u…+
</li>+
</ul>+
<h3><span style="vertical-align: baseline;">Gemini Enterprise customers are also seeing the value</span></h3>+
<p><span style="vertical-align: baseline;">Hearing this recognition from Gartner is great, but it's not just them—our customers are seeing this real-world value too, and it's driving a positive impact across their organizations every day.</span><span style="vertical-align: basel…+
<p><span style="vertical-align: baseline;">Check out what our customers are saying about the recent product advancements.</span></p>+
<p><span style="vertical-align: baseline;">“Deploying Antigravity in Gemini Enterprise allows Accenture to arm our engineers with Google DeepMind’s premier technology on the secure, trusted foundation of Google Cloud. Abstracting away operational complexity ensures our teams don't have t…+
<p><span style="vertical-align: baseline;">“Cleary is committed to embedding AI into our workflows in strategic and competitive ways. Using Google’s Gemini Enterprise, which can slot in seamlessly with other daily work tools, we can unlock greater efficiencies for our teams and help them…+
<p><span style="vertical-align: baseline;">“As a design partner for the Financial Research agent, Deutsche Bank has helped shape this capability in view of the realities of a highly regulated industry – from data protection and governance to the workflows our teams use every day,” – Mari…+
<p><span style="vertical-align: baseline;">“We’re thrilled to partner with Google Cloud in the early adoption of Gemini Enterprise for Legal. We look forward to integrating Google’s technology to streamline workflow and further support our litigators in shaping outcomes critical to our c…+
<h3><span style="vertical-align: baseline;">Get started today</span></h3>+
<ul>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Read the report: </strong><span style="vertical-align: baseline;">Download your complimentary copy of the </span><a href="https://cloud.google.com/resources/content/2026-gartner-magic-quadrant-enterpris…+
</li>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Explore Gemini Enterprise: </strong><span style="vertical-align: baseline;">Discover how your organization can deploy governed, connected agents across every team at</span><a href="https://cloud.google.…+
</li>+
</ul></div></description><pubDate>Wed, 09 Sep 2026 18:00:00 +0000</pubDate><guid>https://cloud.google.com/blog/products/ai-machine-learning/google-is-a-leader-in-2026-gartner-magic-quadrant-for-enterprise-ai-assistants/</guid><category>AI & Machine Learning</category><og xmlns:og="ht…+
<p><span style="vertical-align: baseline;">During the IPL 2026 season, Airtel partnered with Google Cloud to manage this digital delivery. Across 74 matches, the streaming infrastructure delivered several hundred petabytes of egress data. The final match alone processed tens of billions …+
<p><span style="vertical-align: baseline;">Delivering video under these concurrency spikes requires an edge architecture designed strictly around localization, paired with proactive operational monitoring. </span></p>+
<p><span style="vertical-align: baseline;">Our goal for IPL 2026 was to deliver an uninterrupted, stadium-grade viewing experience to cricket fans across India, regardless of concurrency surges or network conditions. Partnering with Google Cloud and using Media CDN gave us deep local edg…+
<h3><strong style="vertical-align: baseline;">Architecting for concurrency and edge efficiency</strong></h3></div>+
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<div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">One of the primary challenges in live sports broadcasting is seamlessly handling large traffic spikes and never degrading stream performance or overwhelming backend origins. That’s especially important…+
<p><span style="vertical-align: baseline;">To accelerate content delivery across India’s diverse ISP landscape, Airtel leveraged Google Cloud’s </span><a href="https://docs.cloud.google.com/media-cdn/docs/overview"><span style="text-decoration: underline; vertical-align: b…+
<p><span style="vertical-align: baseline;">This efficient architecture minimized network hops and reduced transit congestion, translating into remarkable infrastructure and viewer experience metrics throughout the 74 matches:</span></p>+
<ul>+
<li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">+
<p role="presentation"><strong style="vertical-align: baseline;">Superior caching efficiency:</strong><span style="vertical-align: baseline;"> Airtel saw an overall cache hit ratio exceeding 98%. By effectively absorbing massive viewer traffic load at the edge, origin server/…+
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<p role="presentation"><strong style="vertical-align: baseline;">Consistent ultra-low latency:</strong><span style="vertical-align: baseline;"> Airtel maintained a p99 latency of &lt; 300 ms during the tournament, which supported fast stream start times and minimized buff…+
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<h3><span style="vertical-align: baseline;">Proactive strategies for operational readiness</span></h3>+
<p><span style="vertical-align: baseline;">While maintaining an intelligent backend architecture was vital to Airtel’s IPL streaming strategy, it was only half the equation. Executing high-stakes live broadcasts across 74 consecutive matches also demanded meticulous operational preparat…+
<p><span style="vertical-align: baseline;">Because Airtel and Google Cloud recognized that potential bottlenecks had to be identified long before the first ball, they established a deeply integrated operational support model:</span></p>+
<ol>+
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<p role="presentation"><strong style="vertical-align: baseline;">Pre-tournament support readiness reviews:</strong><span style="vertical-align: baseline;"> Well ahead of the opening match, joint engineering teams conducted comprehensive support readiness reviews. By auditing …+
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<p role="presentation"><a href="https://cloud.google.com/monitoring"><strong style="text-decoration: underline; vertical-align: baseline;">Monitoring as a service</strong></a><strong style="vertical-align: baseline;"> (MaaS):</strong><span style="vertical…+
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<p role="presentation"><strong style="vertical-align: baseline;">Dedicated match-day and weekend support:</strong><span style="vertical-align: baseline;"> Live sports don't play by the rules of standard business hours, so Airtel established comprehensive monitoring protocols…+
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</ol>+
<h3><strong style="vertical-align: baseline;">A blueprint for live broadcast excellence</strong></h3>+
<p><span style="vertical-align: baseline;">Airtel’s successful streaming of IPL 2026 demonstrates that handling extreme concurrency is only possible with an integrated strategy across architecture, edge localization, and operational governance. By combining a 98%+ cache hit ratio with 99…+
<p><span style="vertical-align: baseline;">This deployment provides an overview of the technical architecture and operational strategies involved in scaling live media delivery for high-concurrency events. To learn more about optimizing live broadcasts and edge delivery, review the </…+
<p><span><span style="vertical-align: baseline;">Buffmee is an interactive AI service built on the concept of 'AI that helps you grow.' By grounding responses in over 100 sources — including books, magazines, and web media — it helps users search for information, summarize key poin…<p><span style="vertical-align: baseline;">As part of their app launch, the engineer team needed to ground a massive variety of proprietary content, including books and magazines. However, they struggled with latency issues that prevented them from meeting their target response times, an…<div class="block-image_full_width">@
@@ -208,7 +377,7 @@<p><span style="vertical-align: baseline;">Instead of embedding raw Spanner table names and column assignments directly inside core DAO business logic, we isolate Spanner schema translation into dedicated converter units:</span></p></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;// Example of the standardized pattern generated by our pipeline\r\n\r\ntype BpcTransferAmountsMutationConverter interface {\r\n ToInsertMutation(entity *model.BpcTransferAmount) (*spanner.Mutation, error)\r\n …+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;// Example of the standardized pattern generated by our pipeline\r\n\r\ntype BpcTransferAmountsMutationConverter interface {\r\n ToInsertMutation(entity *model.BpcTransferAmount) (*spanner.Mutation, error)\r\n …</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">By establishing a rigid, deterministic contract between the DAO and the Spanner SDK (</span><span style="vertical-align: baseline;">spanner.Mutation</span><span style="vertical-ali…<h3><span style="vertical-align: baseline;">Why use Antigravity</span><span style="vertical-align: baseline;"> </span><span style="vertical-align: baseline;">CLI in headless mode?</span></h3>@
@@ -273,7 +442,7 @@</ul></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;git clone https://github.com/google/mantis.git&#x27;), (&#x27;language&#x27;, &#x27;&#x27;), (&#x27;caption&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fd81a4573d0&gt;)])]&a…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;git clone https://github.com/google/mantis.git&#x27;), (&#x27;language&#x27;, &#x27;&#x27;), (&#x27;caption&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fb6a4151a00&gt;)])]&a…</dl></div><div class="block-paragraph_advanced"><ul><li aria-level="1" style="list-style-type: disc; vertical-align: baseline;">@
@@ -333,7 +502,7 @@<p><span style="vertical-align: baseline;">Stay tuned for monthly updates on Google Cloud’s AI announcements, news, and best practices. For a deeper dive into the latest from Google Cloud customers, read our monthly recap, </span><a href="https://cloud.google.com/blog/topics/cus…<div class="block-aside"><dl> <dt>aside_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;$300 in free credit to try Google Cloud AI and ML&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fd81a603610&gt;), (&#x27;btn_text&#x27;, &#x27;Start building …+
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;$300 in free credit to try Google Cloud AI and ML&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fb696843100&gt;), (&#x27;btn_text&#x27;, &#x27;Start building …</dl></div><div class="block-paragraph_advanced"><hr/><h2 style="text-align: center;"><span style="vertical-align: baseline;">July</span></h2>@
@@ -1876,7 +2045,7 @@<p><span style="vertical-align: baseline;"><a href="https://cloud.google.com/ai/financial-services"><span style="text-decoration: underline; vertical-align: baseline;">Gemini Enterprise for Financial Services</span></a><span style="vertical-align: baseline;">…<div class="block-aside"><dl> <dt>aside_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;Get vital board insights with Google Cloud&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fd81a257430&gt;), (&#x27;btn_text&#x27;, &#x27;Visit the hub&#x27…+
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;Get vital board insights with Google Cloud&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fb6977ca190&gt;), (&#x27;btn_text&#x27;, &#x27;Visit the hub&#x27…</dl></div><div class="block-paragraph"><h3 data-block-key="hswvv"><b>How to stay strong with security fundamentals in the AI era</b></h3><p data-block-key="eoh1k"><i>By Chris Betz, CISO, Google Cloud</i></p></div><div class="block-paragraph_with_image"><div class="article-module h-c-page">@
@@ -1957,12 +2126,12 @@<p><span style="vertical-align: baseline;">To learn more about building and maintaining strong security foundations in the AI era, read our newest </span><a href="https://cloud.google.com/security/resources/cyber-snapshot-reports"><span style="text-decoration: underline; v…<div class="block-aside"><dl> <dt>aside_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;Learn something new&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fd81a257250&gt;), (&#x27;btn_text&#x27;, &#x27;Watch now&#x27;), (&#x27;href&#x2…+
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;Learn something new&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fb6977ca310&gt;), (&#x27;btn_text&#x27;, &#x27;Watch now&#x27;), (&#x27;href&#x2…</dl></div><div class="block-paragraph"><h3 data-block-key="4bd61"><b>In case you missed it</b></h3><p data-block-key="5tvtn">Here are the latest updates, products, services, and resources from our security teams so far this month:</p><ul><li data-block-key="4…<div class="block-aside"><dl> <dt>aside_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;Join the Google Cloud CISO Community&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fd81a257400&gt;), (&#x27;btn_text&#x27;, &#x27;Learn more&#x27;), (&…+
<dd>&lt;ListValue: [StructValue([(&#x27;title&#x27;, &#x27;Join the Google Cloud CISO Community&#x27;), (&#x27;body&#x27;, &lt;wagtail.rich_text.RichText object at 0x7fb6977ca9d0&gt;), (&#x27;btn_text&#x27;, &#x27;Learn more&#x27;), (&…</dl></div><div class="block-paragraph"><h3 data-block-key="29tyz"><b>Threat Intelligence news</b></h3><ul><li data-block-key="cm2sc"><b>Staying ahead of adversarial AI through agentic source code review</b>: To help defenders implement agentic approaches s…<div class="block-paragraph"><h3 data-block-key="rcfc5"><b>Now hear this: Podcasts from Google Cloud</b></h3><ul><li data-block-key="drbpp"><b>Cloud Security Podcast: All about Project Atlas, Wiz's AI vulnerability research</b>: Near Orfeld, head…@
@@ -2365,7 +2534,7 @@<p><span style="vertical-align: baseline;">The unified </span><a href="https://github.com/googleapis/python-genai" rel="noopener" target="_blank"><span style="text-decoration: underline; vertical-align: baseline;">google-genai</span></a><span style="verti…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Prototype: Google AI Studio, raw API key\r\nfrom google import genai\r\nclient = genai.Client(api_key=&quot;YOUR_AI_STUDIO_KEY&quot;)\r\n\r\n# Production: GEAP, no key — uses Application Default Credentials…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Prototype: Google AI Studio, raw API key\r\nfrom google import genai\r\nclient = genai.Client(api_key=&quot;YOUR_AI_STUDIO_KEY&quot;)\r\n\r\n# Production: GEAP, no key — uses Application Default Credentials…</dl></div><div class="block-paragraph_advanced"><h3><span style="vertical-align: baseline;">#2 How do I set up a Google Cloud project without becoming an IAM expert?</span></h3><p><span style="vertical-align: baseline;">The biggest reason startups stall on the migration to Agent Platform isn't the code, it's the operational leap from "here's an API key" to a cloud project with folders, service accounts, org policies, logging, and IAM bindings. If your team does…@
@@ -2383,7 +2552,7 @@</ol></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# One-shot: create a Vertex-ready project and turn on the services a\r\n# typical AI startup uses.\r\ngcloud projects create my-startup-prod --name=&quot;My Startup (prod)&quot;\r\ngcloud config set project m…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# One-shot: create a Vertex-ready project and turn on the services a\r\n# typical AI startup uses.\r\ngcloud projects create my-startup-prod --name=&quot;My Startup (prod)&quot;\r\ngcloud config set project m…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Sources: </span><a href="https://cloud.google.com/sdk/gcloud/reference/services/enable"><span style="text-decoration: underline; vertical-align: baseline;">gcloud services enable refe…<p><span style="vertical-align: baseline;">If you're a solo founder, resist the urge to build in your personal GCP account. Create a proper organization or self-owned org first, then create the project </span><span style="font-style: italic; vertical-align: baseline;">inside&…@
@@ -2403,11 +2572,11 @@<p><span style="vertical-align: baseline;">The pattern you're aiming for is one where your </span><span style="font-style: italic; vertical-align: baseline;">code never sees a key at all</span><span style="vertical-align: baseline;">. It just calls the </span&g…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# On a developer laptop\r\ngcloud auth application-default login\r\n\r\n# On a server (Cloud Run, GKE, etc.) — no login, no key file.\r\n# Attach a service account with just the roles the app needs.\r\ngcloud run dep…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# On a developer laptop\r\ngcloud auth application-default login\r\n\r\n# On a server (Cloud Run, GKE, etc.) — no login, no key file.\r\n# Attach a service account with just the roles the app needs.\r\ngcloud run dep…</dl></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Application code — notice: no keys, no secrets.\r\nfrom google import genai\r\n\r\nclient = genai.Client(\r\n vertexai=True,\r\n project=&quot;my-startup-prod&quot;,\r\n location=&quot;us-centr…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Application code — notice: no keys, no secrets.\r\nfrom google import genai\r\n\r\nclient = genai.Client(\r\n vertexai=True,\r\n project=&quot;my-startup-prod&quot;,\r\n location=&quot;us-centr…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Do one last favor to your future self: give that service account the </span><span style="font-style: italic; vertical-align: baseline;">minimum</span><span style="vertical-align: b…<h3><span style="vertical-align: baseline;">#4 When should I actually stop procrastinating and migrate from AI Studio's API key to Agent Platform's IAM model?</span></h3>@
@@ -2431,7 +2600,7 @@<p><span style="vertical-align: baseline;">Practical checklist for cutover day:</span></p></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# 1. Revoke every existing AI Studio key that has ever left a laptop.\r\n# (Go to https://aistudio.google.com/apikey and delete them.)\r\n\r\n# 2. Confirm your production code has no api_key= arguments.\r\ngrep -r…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# 1. Revoke every existing AI Studio key that has ever left a laptop.\r\n# (Go to https://aistudio.google.com/apikey and delete them.)\r\n\r\n# 2. Confirm your production code has no api_key= arguments.\r\ngrep -r…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">If step 3 prints a response, you're on Agent Platform.</span></p><h3><span style="vertical-align: baseline;"><span style="vertical-align: baseline;">Scale: get more capacity without paying a premium.</span></span></h3>@
@@ -2449,19 +2618,19 @@<p><strong style="vertical-align: baseline;">Pin to a regional endpoint.</strong><span style="vertical-align: baseline;"> Over half of startup traffic on Agent Platform defaults to global routing. Pinning to a specific region (say </span><strong style="vertical-align…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;from google import genai\r\n\r\n# Global (default): competes against worldwide demand.\r\n# Regional: routes only to the regional cluster, less contention.\r\nclient = genai.Client(\r\n vertexai=True,\r\n proje…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;from google import genai\r\n\r\n# Global (default): competes against worldwide demand.\r\n# Regional: routes only to the regional cluster, less contention.\r\nclient = genai.Client(\r\n vertexai=True,\r\n proje…</dl></div><div class="block-paragraph_advanced"><p><strong style="vertical-align: baseline;">Add real retry and backoff.</strong><span style="vertical-align: baseline;"> A 429 is a retryable signal, not a fatal error. Any production client should have exponential backoff with jit…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;from google import genai\r\nfrom google.genai import types\r\n\r\nclient = genai.Client(\r\n vertexai=True, project=&quot;my-startup-prod&quot;, location=&quot;us-central1&quot;,\r\n http_option…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;from google import genai\r\nfrom google.genai import types\r\n\r\nclient = genai.Client(\r\n vertexai=True, project=&quot;my-startup-prod&quot;, location=&quot;us-central1&quot;,\r\n http_option…</dl></div><div class="block-paragraph_advanced"><p><strong style="vertical-align: baseline;">How do you see this coming? </strong><span style="vertical-align: baseline;">Preferably not from a user telling you. Agent Platform publishes serving metrics to Cloud Monitoring, and the…<p><span style="vertical-align: baseline;">The metric to actually alert on is </span><code style="vertical-align: baseline;">aiplatform.googleapis.com/publisher/online_serving/model_invocation_count</code><span style="vertical-align: baseline;">. It carries an <…<p><span style="vertical-align: baseline;">One thing worth internalizing, because it trips people up: you cannot build a "warn me at 80% of my quota" alert for Standard PayGo. Under Dynamic Shared Quota there is no fixed per-project number to be at 80% of. A 429 means transient contentio…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;gcloud monitoring policies create --policy-from-file=capacity-alert.yaml&#x27;), (&#x27;language&#x27;, &#x27;&#x27;), (&#x27;caption&#x27;, &lt;wagtail.rich_text.RichText object at 0x…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;gcloud monitoring policies create --policy-from-file=capacity-alert.yaml&#x27;), (&#x27;language&#x27;, &#x27;&#x27;), (&#x27;caption&#x27;, &lt;wagtail.rich_text.RichText object at 0x…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Sources: </span><a href="https://cloud.google.com/monitoring/api/metrics_gcp_a_b"><span style="text-decoration: underline; vertical-align: baseline;">Agent Platform metrics list</s…<p><span style="vertical-align: baseline;">Follow the </span><a href="https://cloud.google.com/vertex-ai/generative-ai/docs/quotas"><span style="text-decoration: underline; vertical-align: baseline;">Agent Platform rate limits documentation</span></a><spa…@
@@ -2550,7 +2719,7 @@</ol></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Priority PayGo request: use the global endpoint + two extra headers.\r\nfrom google import genai\r\nfrom google.genai import types\r\n\r\nclient = genai.Client(vertexai=True, project=&quot;my-startup-prod&q…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Priority PayGo request: use the global endpoint + two extra headers.\r\nfrom google import genai\r\nfrom google.genai import types\r\n\r\nclient = genai.Client(vertexai=True, project=&quot;my-startup-prod&q…</dl></div><div class="block-paragraph_advanced"><p role="presentation"><span style="vertical-align: baseline;">3. </span><strong style="vertical-align: baseline;">Once you can predict your baseline TPM,</strong><span style="vertical-align: baseline;"> buy PT to cover …<p><span style="vertical-align: baseline;"> Sources: </span><a href="https://cloud.google.com/vertex-ai/generative-ai/docs/priority-paygo"><span style="text-decoration: underline; vertical-align: baseline;">Priority PayGo docs</span></a><span style="verti…@
@@ -2571,7 +2740,7 @@<p><span style="vertical-align: baseline;">Batch prediction on Agent Platform runs in a completely separate queue, does not consume your interactive DSQ, and is typically about half the price of on-demand inference. That's a rare double win: faster live traffic </span><span styl…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Kick off a batch prediction job from a JSONL file in Cloud Storage.\r\n# Each line is one prompt; results land in another Cloud Storage prefix.\r\nfrom google import genai\r\nfrom google.genai import types\r\n\r\nc…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Kick off a batch prediction job from a JSONL file in Cloud Storage.\r\n# Each line is one prompt; results land in another Cloud Storage prefix.\r\nfrom google import genai\r\nfrom google.genai import types\r\n\r\nc…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Common candidates: nightly document summarization, background classification of new signups, bulk translation, embedding backfills, evaluation runs against your test set. If any of those are on your li…<h3><span style="vertical-align: baseline;">Govern: Keep costs, keys, and agents under control.</span></h3>@
@@ -2601,7 +2770,7 @@<p role="presentation"><span style="vertical-align: baseline;">2. </span><strong style="vertical-align: baseline;">A billing budget with a Pub/Sub trigger that disables billing</strong><span style="vertical-align: baseline;">. Still the right tool when you need bl…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Sketch: create a budget SCOPED TO ONE PROJECT that publishes to Pub/Sub at 50%, 90%, 100%.\r\ngcloud billing budgets create \\\r\n --billing-account=012345-6789AB-CDEF01 \\\r\n --display-name=&quot;my-startup…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Sketch: create a budget SCOPED TO ONE PROJECT that publishes to Pub/Sub at 50%, 90%, 100%.\r\ngcloud billing budgets create \\\r\n --billing-account=012345-6789AB-CDEF01 \\\r\n --display-name=&quot;my-startup…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Sources: </span><span style="vertical-align: baseline;"> </span><a href="https://cloud.google.com/billing/docs/how-to/budgets-spend-caps"><span style="text-decoration: underl…<p><span style="vertical-align: baseline;">Two things to get ahead of for, as the defaults can cause unexpected issues: </span></p>@
@@ -2619,11 +2788,11 @@<p><span style="vertical-align: baseline;">The short answer is: </span><a href="https://cloud.google.com/secret-manager"><span style="text-decoration: underline; vertical-align: baseline;">Secret Manager</span></a><span style="vertical-align: baseline;"&g…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Store a third-party API key (Stripe, OpenAI, whatever).\r\necho -n &quot;sk_live_xxx&quot; | gcloud secrets create stripe-live-key --data-file=-\r\n\r\n# Grant only the runtime service account access to rea…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Store a third-party API key (Stripe, OpenAI, whatever).\r\necho -n &quot;sk_live_xxx&quot; | gcloud secrets create stripe-live-key --data-file=-\r\n\r\n# Grant only the runtime service account access to rea…</dl></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Application code fetches it at startup; nothing lives on disk.\r\nfrom google.cloud import secretmanager\r\nsm = secretmanager.SecretManagerServiceClient()\r\nresp = sm.access_secret_version(\r\n name=&quot;…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Application code fetches it at startup; nothing lives on disk.\r\nfrom google.cloud import secretmanager\r\nsm = secretmanager.SecretManagerServiceClient()\r\nresp = sm.access_secret_version(\r\n name=&quot;…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">Then two little disciplines that pay for themselves the first time you need them:</span></p><ul>@
@@ -2642,7 +2811,7 @@<p><strong style="vertical-align: baseline;">2. Sandboxed code execution.</strong><span style="vertical-align: baseline;"> If your agent runs generated code, a common pattern for data-analysis or "run this Python for me" flows, do not run it in your application process. Use …<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Enable server-side code execution inside a sandbox for a request.\r\nfrom google import genai\r\nfrom google.genai import types\r\n\r\nclient = genai.Client(vertexai=True, project=&quot;my-startup-prod&quot…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;# Enable server-side code execution inside a sandbox for a request.\r\nfrom google import genai\r\nfrom google.genai import types\r\n\r\nclient = genai.Client(vertexai=True, project=&quot;my-startup-prod&quot…</dl></div><div class="block-paragraph_advanced"><p><strong style="vertical-align: baseline;">3. Prompt and response filtering.</strong><span style="vertical-align: baseline;"> </span><a href="https://cloud.google.com/security-command-center/docs/model-armor-overview">…<p><strong style="vertical-align: baseline;">4. Behavioral monitoring.</strong><span style="vertical-align: baseline;"> </span><a href="https://cloud.google.com/security-command-center"><span style="text-decoration: underline; vertical-align: baseline;">Secu…@
@@ -3017,7 +3186,7 @@<p><span style="vertical-align: baseline;">We define the upstream CPU model using </span><code style="vertical-align: baseline;">HuggingFacePipelineModelHandler</code><span style="vertical-align: baseline;">. This model classifies sentiment into </span><c…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;model_handler = HuggingFacePipelineModelHandler(\r\n task=&quot;sentiment-analysis&quot;,\r\n model=&quot;distilbert-base-uncased-finetuned-sst-2-english&quot;\r\n)&#x27;), (&#x27;langua…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;model_handler = HuggingFacePipelineModelHandler(\r\n task=&quot;sentiment-analysis&quot;,\r\n model=&quot;distilbert-base-uncased-finetuned-sst-2-english&quot;\r\n)&#x27;), (&#x27;langua…</dl></div><div class="block-paragraph_advanced"><h3><span style="vertical-align: baseline;">2. Building the heavyweight ADK agent</span></h3><p><span style="vertical-align: baseline;">The ADK agent acts as our remediation assistant. We equip it with three tools:</span></p>@
@@ -3034,18 +3203,18 @@</ul></div><div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;def make_adk_tools(project: str, dataset: str = &quot;sentiment_demo&quot;):\r\n def lookup_user(user_id: int) -&gt; dict:\r\n &quot;&quot;&quot;Look up user information (email addre…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;def make_adk_tools(project: str, dataset: str = &quot;sentiment_demo&quot;):\r\n def lookup_user(user_id: int) -&gt; dict:\r\n &quot;&quot;&quot;Look up user information (email addre…</dl></div><div class="block-paragraph_advanced"><p><span style="vertical-align: baseline;">We configure the </span><code style="vertical-align: baseline;">LlmAgent</code><span style="vertical-align: baseline;"> and package it in the </span><code style="vertic…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;adk_agent = LlmAgent(\r\n name=&quot;remediation_agent&quot;,\r\n model=&quot;gemini-3.5-flash&quot;,\r\n instruction=(\r\n &quot;You are a customer service remediation assistant w…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;adk_agent = LlmAgent(\r\n name=&quot;remediation_agent&quot;,\r\n model=&quot;gemini-3.5-flash&quot;,\r\n instruction=(\r\n &quot;You are a customer service remediation assistant w…</dl></div><div class="block-paragraph_advanced"><h3><span style="vertical-align: baseline;">3. Assembling the Dataflow DAG</span></h3><p><span style="vertical-align: baseline;">The entire pipeline is declared cleanly. The upstream sentiment inference feeds directly into the filtering step (</span><code style="vertical-align: baseline;">FilterNegativeADK</code><span style="vertical-align: baseline;"…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;with beam.Pipeline(options=pipeline_options) as p:\r\n # 1. Read from Pub/Sub and classify sentiment on CPU\r\n sentiment_results = (\r\n p\r\n | &quot;ReadFromPubSub&quot; &gt;&gt…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;with beam.Pipeline(options=pipeline_options) as p:\r\n # 1. Read from Pub/Sub and classify sentiment on CPU\r\n sentiment_results = (\r\n p\r\n | &quot;ReadFromPubSub&quot; &gt;&gt…</dl></div><div class="block-paragraph_advanced"><h2><strong style="vertical-align: baseline;">Cost and performance advantages</strong></h2><p><span style="vertical-align: baseline;">By introducing this filtering step, we gain major engineering and operational advantages:</span></p>@
@@ -3175,7 +3344,7 @@<p><span style="vertical-align: baseline;">Because public projects like </span><code style="vertical-align: baseline;">bigquery-public-data</code><span style="vertical-align: baseline;"> are strictly read-only, you must map the logical property graph inside your o…<div class="block-code"><dl> <dt>code_block</dt>-
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;-- 1. Map the graph inside YOUR project \r\n\r\n\r\nCREATE OR REPLACE PROPERTY GRAPH `YOUR_PROJECT_ID.YOUR_DATASET.thelook_ecommerce_graph`\r\nNODE TABLES(\r\n `bigquery-public-data.thelook_ecommerce.users` AS User\…+
<dd>&lt;ListValue: [StructValue([(&#x27;code&#x27;, &#x27;-- 1. Map the graph inside YOUR project \r\n\r\n\r\nCREATE OR REPLACE PROPERTY GRAPH `YOUR_PROJECT_ID.YOUR_DATASET.thelook_ecommerce_graph`\r\nNODE TABLES(\r\n `bigquery-public-data.thelook_ecommerce.users` AS User\…</dl></div><div class="block-paragraph_advanced"><h3><strong style="vertical-align: baseline;">Democratizing graph intelligence in BigQuery Studio</strong></h3><p><span style="vertical-align: baseline;">To make managing and deploying these relationship networks frictionless for both developers and business users, we have built native, intuitive operational tools directly into BigQuery Studio:</span></p>@
@@ -3279,198 +3448,4 @@<li><strong style="vertical-align: baseline;">Database-managed models (sql_analytic_model_name):</strong><span style="vertical-align: baseline;"> Point Looker directly to your database-defined BigQuery Graph using </span><code style="vertical-align: baseline;">sql…<li><strong style="vertical-align: baseline;">Looker-managed models (derived_analytic_model):</strong><span style="vertical-align: baseline;"> Define your BigQuery Graph schema directly inside your LookML view using </span><code style="vertical-align: baseline;">d…<li><strong style="vertical-align: baseline;">Enterprise DevOps workflows:</strong><span style="vertical-align: baseline;"> Manage your graph's entire lifecycle using the </span><strong style="vertical-align: baseline;">Looker IDE, Git-based version control, and C…-
</ul></div></description><pubDate>Thu, 13 Aug 2026 17:00:00 +0000</pubDate><guid>https://cloud.google.com/blog/products/data-analytics/bigquery-graphs-with-measures-for-trusted-agentic-workloads/</guid><category>AI & Machine Learning</category><category>Databases</category><category>…-
<p><a href="https://cloud.google.com/gemini-enterprise?utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=1713704-Workspace-DR-APAC-IN-en-Google-BKWS-MIX-Hybrid-GeminiEnterprise&amp;utm_content=c-Hybrid+%7C+BKWS+-+EXA+%7C+Txt-Gemini+Enterprise-Generic-435278751514&amp;utm…-
<h3><strong style="vertical-align: baseline;">Bringing a semantic foundation to structured and unstructured data</strong></h3>-
<p><span style="vertical-align: baseline;">By combining Looker’s semantic layer with Gemini Enterprise, you can query both structured databases and unstructured documents in plain English, all in one place. Instead of jumping between dashboards and other tools to understand your numbers,…-
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