KPMG survey: 74% of companies lack full visibility into AI costs. Half have only partial tracking until invoices arrive. As token-based pricing replaces traditional licensing, finance teams scramble to meter usage before annual budgets burn through in months. https://www.implicator.ai/kpmg-survey-shows-only-26-of-companies-can-track-ai-costs-fully/ #AI #FinOps #CostManagement
KPMG Survey Puts AI Cost Visibility at 26%

Only 26% of companies fully track AI costs, according to a KPMG survey reported by WSJ. Token meters are pushing CFOs toward dashboards, routing rules and new standards as Life360, Affirm and Corning try to put budgets around agent usage before invoices outrun forecasts.

Implicator.ai
Cloudflare AI Gateway now caps runaway AI bills with dollar budgets: Cloudflare added spend limits to AI Gateway today, letting firms cap AI costs in dollars by team, user or model, with fallback routing when budgets run out. https://ppc.land/cloudflare-ai-gateway-now-caps-runaway-ai-bills-with-dollar-budgets/ #Cloudflare #AIGateway #ArtificialIntelligence #TechNews #CostManagement
Cloudflare AI Gateway now caps runaway AI bills with dollar budgets

Cloudflare added spend limits to AI Gateway today, letting firms cap AI costs in dollars by team, user or model, with fallback routing when budgets run out.

PPC Land

Reconciling Kubernetes cost estimates with CUR / FOCUS billing data

https://github.com/tanrikuluozlem/burn

#HackerNews #Kubernetes #CostManagement #CloudBilling #DevOps #OpenSource

GitHub - tanrikuluozlem/burn: See what's burning your Kubernetes budget

See what's burning your Kubernetes budget. Contribute to tanrikuluozlem/burn development by creating an account on GitHub.

GitHub

Harnessing Amazon Kinesis in Machine Learning and Artificial Intelligence

Amazon Kinesis, a suite of services offered by AWS, allows the collection, processing, and analysis of real-time streaming data, proving integral to advances in machine learning and artificial intelligence. The services support real-time ingestions, predictions, anomaly detection, personalized user experiences, predictive maintenance, fraud detection, and natural language processing. The tool's scalability, data quality, cost management, and security presents challenges, which can be mitigated with proper configuration, data validation, and robust monitoring.

https://atozofsoftwareengineering.blog/2023/10/30/harnessing-amazon-kinesis-in-machine-learning-and-artificial-intelligence/

LLM Cost Management

Say goodbye to surprise bills: LLMCap helps you stay within budget

https://airanked.dev/posts/llm-cost-management

#LLM #CostManagement #API

I caught up recently with #groundcover CEO Shahar Azulay to discuss the shifting requirements – and growing role -- for #observability tools in #AI development. From his point of view, #o11y has evolved from a post-production downtime prevention system to "the source of truth for everything from code creation to shipping and testing code, remediation and production."

In today’s episode, we’ll cover…

-- Coping with a further influx of observability data from #AIagents

-- Observability for #costmanagement

-- Data collection for AI agent workflows using #eBPF

-- Groundcover's #AIobservability roadmap

And more!

Watch on YouTube: https://youtu.be/wjYj7gskPJA

IT Ops Query: Observability becomes the linchpin of AI development

YouTube

When do you actually bump up your Claude usage tier?

For me: I treat extra credits like a buffer for unexpected scope—not justification to overbuild. But I've seen people front-load heavy usage during dev, then coast on less during maintenance. Feels backwards to me, but maybe I'm missing something.

How do you decide when it's worth the jump?

#Claude #AI #DevTools #CostManagement #BuildInPublic

ICYMI: Labor Cost Optimization Strategies That Build Margin Without Cutting Capacity https://integratedstrategicexecutive.com/4s081oy #LaborCostOptimization #SMBMargins #FractionalCOO #BusinessStrategies #CostManagement