Predictable AI spend in BigQuery: Introducing cost management for generative AI functions
Token-based cost management for BigQuery generative AI functions lets you set daily quotas on AI token consumption so you can keep within your budget.
Cloudera Impala Demo: Delegated Admin for SQL-Based Access Management
See how Cloudera Impala's Delegated Admin for SQL-Based Access Management helps enterprises decentralize access management, reduce IT bottlenecks, and streamline data access administration. This demo shows how delegated administration enables authorized teams to manage access through SQL, reducing reliance on centralized IT administrators and manual UI-based processes.
What Is a Control Plane for Enterprise AI? A Look Inside Klique
A control plane for enterprise AI is the layer between the people and agents using AI and the infrastructure that runs it, meaning your models, GPUs, clusters, and cloud accounts. It decides who can use what, sends each request to the right resource, and records what that request cost. Klique is the control plane for enterprise AI. Teams get self-service access to approved tools, models, and GPUs, and IT sets the policies, quotas, and budgets behind them.
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Even well-designed algorithms can fail and end up hurting the people they're meant to help. In this episode, Dr. Ben Green, Assistant Professor of Information and Public Policy at the University of Michigan, explains what keeps data from being used for good, why AI regulation can't be left to AI companies, and what organizations risk losing when they hand too much of their thinking to AI. In this clip from podcast, he shares why it is the companies that are building AI tools that need to be held responsible vs. putting agency on the tools.
Inside ARIA: How It Really Works
Most people assume the model does everything in an agent. It doesn't. Sudais (Growth Strategist) sits down with Humza Khatri (Software Architect), to go inside the engine room: the custom-built agent harness that runs ARIA and Astera's other agents. CHAPTERS.
Operationalizing Code Optimization
Operationalizing Code Optimization to Improve Cost, Performance, and Reliability of Your Cloud and AI Workloads While infrastructure optimizations like rightsizing and auto-suspending idle resources are standard practice, they cannot solve the cost and performance issues caused by inefficient code. Unoptimized workloads and AI functions waste compute resources, lead to missed SLAs, and significantly inflate cloud spend.
Accounts Payable Metrics: 10 KPIs to Track, with Formulas and Benchmarks
Accounts payable metrics are the numbers a finance team uses to judge how well AP is working. They show what each invoice costs to process, how fast and accurately it moves to payment, and how well payments are timed. The most useful accounts payable performance metrics fall into five families: cost, productivity, speed, quality, and cash. These metrics apply whether invoices are keyed by hand or captured with accounts payable automation. No single number tells you whether AP is healthy.
New: Give Your AI Analyst the Context to Explain Performance and Help You Take Action
You open your performance dashboard and notice that your sales pipeline has dropped 15% since last week. You can see the decline, but the numbers alone don’t explain what caused it. Maybe several deals were pushed into next quarter, your team lost a major opportunity, or a campaign generated fewer qualified leads than expected. The answers are likely somewhere in your CRM, project management tool, or conversations your team has been having.
Why B2B Software Is Being Judged by B2C Standards
The bar for B2B software is being set by B2C experiences. In this clip, Kim Faura, former Managing Director at Gumtree, joins ThoughtSpot's Jane Smith and Mark Hill-Smith to talk about what this expectation shift means for product teams, and what it takes to close the gap between what B2B tools deliver today and what users now expect.
Governed End to End: How Spotter Analysts Control Data Access
Before any data leader deploys an AI analyst, they ask the same question: what can it touch? In this video, see how Spotter Analysts are governed end to end. What you’ll see: → How admins control which certified models a Spotter Analyst can read→ How data access travels with a shared analyst→ How “show work” traces every answer back to its source→ What governed end to end means in a production agentic analytics environment.