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Inside ITOpsAI

ITOpsAI Blog: Applied AI, & Deep Dives

Original blog content covering AI strategy, IT infrastructure, ITSM, enterprise AI adoption, automation, innovation, and more—built to help you move from insight to execution.

AI in Action: Enterprise Case Studies 

From fraud detection to infrastructure orchestration—see how leading enterprises are executing AI to solve real problems, cut costs, and scale smarter.


Curated AI Research & Execution Frameworks

Discover curated third-party research on how AI is being implemented, governed, and scaled—plus the risks, breakthroughs, and strategies shaping what’s next.


Featured Blog


DataOps: The Backbone of Enterprise AI Execution

You can’t operationalize AI without operationalizing your data. Explore the 5 foundational pillars—from ingestion to orchestration—that enable scalable AI and enterprise transformation through true data readiness.

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Looking for more execution ready insights?

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AI in Action: Enterprise Case Studies

Kainos: GenAI + ServiceNow Transform Customer Support

Industry: Services

Technology: ServiceNow + GenAI

Kainos integrated Now Assist to automate support workflows, generate knowledge articles, and summarize service cases—achieving 99% satisfaction and a 71% reduction in resolution time.

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Industry: Higher Education & Research

Technology: GPU Virtualization

EPFL deployed Run:ai to create a self-service GPU allocation system, cutting idle GPUs by 50% and enabling hundreds of researchers to run scalable AI workloads

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Industry: Financial Services

Technology: Snowflake Cortex AI

TS Imagine unified data across 500+ clients and automated email monitoring—saving 4,000+ hours per year and cutting GenAI integration costs by 30% using Snowflake Cortex AI.

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Want to See More AI in Action?

Explore our curated collection of enterprise AI case studies—showcasing how organizations are automating processes, scaling infrastructure, and delivering measurable results.

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AI Reports, Benchmarks & Strategic Frameworks

Source: OpenAI

Category: AI Infrastructure & Economy

OpenAI’s report outlines the economic and geopolitical importance of AI infrastructure — data centers, power grids, and semiconductor manufacturing — as the foundation for global AI leadership. It projects $100B per 5GW data center and calls for public-private investment

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Source: Stanford

Category: AI Trends & Policy

Stanford's AI Index is a data-rich annual report tracking AI’s global progress, model scaling, policy trends, and the economic impact of generative AI. It reveals U.S. leadership in model development and highlights rising concerns around ethics and regulation

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Source: Google Cloud

Category: Generative AI in Enterprise

This report features 321 enterprise use cases across sectors like healthcare, finance, retail, and manufacturing. It highlights how generative AI is moving beyond pilots and into core business operations—powering virtual agents, intelligent automation, and real-time decision-making.

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Looking for Trusted AI Research & Frameworks?

A curated collection of research reports and execution frameworks—covering AI infrastructure, automation, governance, market trends, and the workforce shifts shaping enterprise adoption.

Browse the Full Research Hub >

A practical guide to AIOps implementation—complete with use cases, pitfalls to avoid, a vendor comparison matrix, and a customizable rollout template.

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Discover how orchestration is the backbone of scalable AI—solving compute bottlenecks, automating ML pipelines, and turning chaos into streamlined enterprise execution.

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Explore the 10 critical areas where IT leaders must lead AI adoption—from infrastructure and data pipelines to performance monitoring, security, and workforce transformation.

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Explore Strategic Insights on AI Execution

Actionable insights, proven approaches, and execution-ready content for leaders building AI-driven IT and enterprise operations.

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ITOpsAI Hub

A living library of AI insights, frameworks, and case studies curated to spotlight what’s working, what’s evolving, and how to lead through it.

What you’ll find in AI Blogs & Insights:

  • Practical guides on AIOps, orchestration, and AI implementation
  • Use case breakdowns, frameworks, and tool comparisons
  • Deep dives on how AI impacts IT strategy and operations

Many AI tools symbols in a vertical row. colors purple and blue.

What You'll Find in Resources:

  • Curated reports, research, and strategic frameworks from top AI sources
  • Execution guides on governance, infrastructure, and data strategy
  • Trusted insights to help you scale AI with clarity and confidence

AI Brain on a circuit board. Colors purple, blue

What You'll Find in Case Studies:

  • Vetted examples of how companies are using AI to automate and scale
  • Measurable outcomes from infrastructure, IT, and business transformation
  • Strategic insights on execution, orchestration, and enterprise adoption

Explore Recent Blogs

AI Agent  working with processes to take action. Green background.
By Sherry Bushman May 19, 2025
Discover how ServiceNow’s new Now Assist release brings fully autonomous, guard-railed AI agents to HR, Sales, IT Ops, and more. Learn the architecture, use cases, and transparent token-based pricing you need to launch your first agent in weeks.
By Sherry Bushman May 15, 2025
At Lowe’s, AI has moved beyond experimentation to power daily interactions with shoppers, employees, and the entire supply-chain operation. Here’s a snapshot of where AI is deployed, how the company built the capability, and the tech stack that keeps it humming. Scope of Deployment
A silhouette of a person 's head made of a circuit board. for AI Blog: Agentic AI:
By Sherry Bushman May 7, 2025
What is Agentic AI really—and why are so many products misusing the term? In this blog, we cut through the marketing hype to expose the gap between what’s being promised and what’s actually being built. You'll learn what defines true Agentic AI, why most so-called “agents” are just automation with GenAI wrappers, and how to refocus your AI strategy on outcomes, not buzzwords. Whether you're a decision-maker, builder, or strategist, this is the clarity check you need before committing to the next big AI investment.

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