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AI-Driven Cloud Cost Governance: Anomaly Detection & Budget Forecasting

Former Sr. Technologist
Intel Corporation
IT Services
North America
USA

$ 645

June 18, 2025

Topics covered in this transcript

  • How do AI models detect abnormal spending patterns across multi-cloud bills?
  • What FinOps workflows automate approval chains for budget overruns?
  • How are predictive models trained on seasonal usage patterns?
  • What role do chatbots play in real-time cost alerting for DevOps teams?
  • How are showback reports influencing product pricing strategies?
  • What benchmarks compare AI cost tools (e.g., CloudHealth vs. Kubecost)?
  • How do cryptocurrency mining attacks manifest in cloud cost anomalies?
  • What role do commitment discounts (e.g., AWS Savings Plans) play in forecasts?
  • How are AI models explaining cost drivers to non-technical stakeholders?
  • What certifications (e.g., FinOps Certified Practitioner) validate expertise?
  • How do multi-currency cloud bills complicate AI predictions?
  • What innovations enable per-feature cost allocation in microservices?

Keywords

  • Cost Leakage Prevention
  • Predictive Budget Allocation
  • Showback Chargeback Automation
  • Resource Tagging Enforcement
  • Commitment Discount Planning
  • Cross-Cloud Cost Benchmarking
  • Cryptocurrency Mining Detection
  • AI Audit Trails
  • Business Unit Budgeting
  • Reserved Instance Management

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Bangalore

Cinnabar Hills, Embassy Golf Links Business Park, Bengaluru, Karnataka 560071
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Get in touch with us to learn more about our services, ask for assistance with a technical difficulty, or if you would like a product demo.
info@nextyn.com
Singapore
68 Circular Road, #02-01
049422, Singapore
Jakarta

Revenue Tower, Scbd, Jakarta 12190, Indonesia
Mumbai
4th Floor, Pinnacle Business Park, Andheri East, Mumbai, 400093
Bangalore

Cinnabar Hills, Embassy Golf Links Business Park, Bengaluru, Karnataka 560071
Instagram Favicon

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