CORTEX3. The black box of AI costs
The unpredictable nature of AI consumption and pricing, along with massive investments from vendors, will lead to an ‘infrastructure reckoning’ in the coming years, IDC says.
20 juil.
The unpredictable nature of AI consumption and pricing, along with massive investments from vendors, will lead to an ‘infrastructure reckoning’ in the coming years, IDC says.
Global research report shows that 98% of business and IT leaders surveyed plan to invest more in their AI initiatives in 2025, but 58% claim that making their data AI-ready remains a challenge.
With transformative results hanging in the balance, enterprises must foster a culture of AI that reconciles freedom with governance.
With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations capable of supporting enterprise-wide use cases.
The long-term destination is the autonomous network: A network capable of self-monitoring, self-optimizing, self-healing and self-securing through the use of AI and automation. However, autonomous networking will not emerge overnight. The investments enterprises make today to support agentic AI are the same foundational building blocks required for tomorrow’s autonomous operations. In many ways, agentic AI serves as both the driver and beneficiary of network transformation. AI agents require net
AI agent observability offers insight into the behavior and performance of AI agents, including interactions with LLMs and tools.
With IT/OT convergence, digital technologies, and the growing importance of data, Huber CIO Dwain Wilcox leads the creation of a cross-functional, cross-business innovation engine.
Breaking down silos across the enterprise is the key to getting your business up to speed.
Many companies adopt product ways of working but keep outdated funding. Modernize your approach to empower teams and drive real results.
From capacity management to collaboration, the product model is reshaping how technology is built, funded, and understood across the enterprise.
Explore the Deloitte AI Institute’s State of AI in the Enterprise report tracking AI investments, adoption, impacts on business, and challenges throughout 2025.
Domain intelligence and high-quality agents
The fifth pattern is the one I think we’ll see increasingly more of in the future. While many see “full automation” as the goal, the right target is actually to let the agent handle the 80% of a task that is mechanical, while preserving human judgment at the most critical moments. This is achievable via human-in-the-loop (HITL) agents. According to Moody’s, 42% of compliance professionals believe that human oversight is mandatory, and I agree: AI should run right, by getting approval and review
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