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Aligning Innovation with Enterprise Architecture

Robert Samuel — Wed, 17 Jun 2026 04:00:00 GMT

This IDC Perspective emphasizes the advantages of both tactical and strategic opportunities arising from the alignment of business innovation programs and enterprise architecture (EA). Business innovation programs are positioned to explore emerging opportunities. EA establishes the guardrails for data, system, process, cybersecurity, and system delivery. Aligning the two programs creates strong synergy to interrogate opportunities for breadth and depth of capabilities. EA gains deeper insight into key business drivers and constraints through collaboration on innovation scenarios. The scenarios, drivers, and constraints provide a unique perspective for enterprise architects to compare the current architecture with future opportunities. Meanwhile, business innovation leaders gain systems knowledge of process, data, and system strengths and weaknesses. This collaboration provides a robust library of examples for leaders to use in developing business cases. When the time comes for project execution, the collaboration pays dividends by enabling early assessment of time to deliver, risks, and deployment dependencies.

“The senior leadership advocacy of partnering enterprise architecture with innovation originators elevates ideas from isolated concepts into scalable, repeatable solutions that deliver enterprisewide value,” says Robert Samuel, adjunct research advisor, IT Executive Programs (IEP) at IDC.

Beyond Checkbox Compliance: A Targeted Value Approach to COBIT and Other Self-Assessments

Daniel Saroff, Niel Nickolaisen — Wed, 17 Jun 2026 04:00:00 GMT

This IDC Perspective argues that CIOs and compliance leaders must redesign governance self-assessments around focus and intent rather than breadth, treating them as a managed assurance discipline rather than an annual checkbox exercise. Boards, auditors, and business stakeholders increasingly expect self-assessments under COBIT, SOX 404, ISO 27001, and NIST CSF to produce decision-useful insight into control health and governance maturity. Yet in many large organizations, these assessments still center on full-coverage scoring, RAG heatmaps, and narrative evidence, leaving meaningful improvement to ad hoc remediation or isolated process owners. The result is defensible-looking scores but limited ability to surface the control gaps that matter, drive prioritized action, or sustain participant engagement. Drawing on IDC's work with organizations across industries, the document describes seven recurring failure modes that undermine repeatable assurance. It provides strategic guidance for CIOs on shifting self-assessment from a compliance artifact to an assurance program by anchoring scope to business risk, defining target maturity before scoring, designing top down and assessing bottom up, and enforcing a failure-cascade rule that prevents averaging from masking critical gaps. It then outlines a tactical playbook for operationalizing the model.

"Organizations that manage risk most effectively are not those that measure everything equally. They are those that know what matters most and measure it rigorously. The shift from checkbox compliance to targeted assurance is not about doing less; it is about doing the right things with discipline, evidence, and accountability," says Daniel Saroff, group vice president, Research and Consulting, IDC.

Broadcom Mainframe AR Forum 2026: AI on Mainframe's Terms

Adam Resnick — Wed, 17 Jun 2026 04:00:00 GMT

At its Mainframe Analyst Relations Forum, held June 8–10 in Boston, Broadcom presented an AI strategy centered on embedding AI capabilities directly into its existing mainframe application development and DevOps portfolio rather than building standalone AI products. New capabilities arrive inside the tools customers already use, under existing entitlements, through MCP-based connectivity across DevOps, Data Management, and AIOps value streams. This approach reflects the nature of the platform: A mainframe is built for deterministic, high-volume, and mission-critical execution at a quality and reliability bar that a more disruptive AI product strategy would put at risk. Broadcom is working to build a unified developer experience where mainframe development uses tools and workflows already familiar to developers coming from conventional enterprise environments. The company is making solid progress, though attracting developers to a platform underrepresented in developer culture is a challenge specific to the mainframe, and the broader pressure of measuring AI investment returns is one the whole industry is still working through.

IDC MaturityScape: Sustainable Transformation 1.0

Bjoern Stengel — Wed, 17 Jun 2026 04:00:00 GMT

"Sustainability maturity is now inseparable from business performance maturity. The organizations closing the performance gap are not doing so through reporting excellence or carbon offset programs alone — they are embedding AI across operations, supply chains, and product portfolios to make sustainability a continuous, self-optimizing capability. This IDC study gives buyers and vendors alike a shared language and a clear progression map for that journey." — Bjoern Stengel, Global Sustainability Research and Practice lead, IDC

Microsoft Build 2026: The Agentic Platform Play That Puts the OS Back at the Center of the Stack

Jim Mercer — Wed, 17 Jun 2026 04:00:00 GMT

Microsoft Build 2026 demonstrated the company's intention to embed agentic AI directly into the operating system, development toolchain, and enterprise security fabric as an interconnected whole. Announcements spanning Windows-native agent containment, on-device small language models, expanded Linux tooling, a new GitHub Copilot App, frontier model tuning, and purpose-built AI hardware collectively signal that Microsoft is no longer positioning Windows as a passive foundation for AI workloads but as an active participant in their governance, execution, and economics. For enterprise organizations navigating the transition from AI experimentation to production-scale agentic deployment, the Build 2026 announcements deserve evaluation. Whether it translates into preference shifts among developer segments that have long favored macOS and Linux will depend on the company's execution of these announcements over the next several cycles.

Orange Takes Full Ownership of MasOrange: Spain Cements Position as Orange Group's Strategic Second Pillar

Alejandro Cadenas — Wed, 17 Jun 2026 04:00:00 GMT

On June 8, 2026, Orange announced the completion of its acquisition of the remaining 50% stake in MasOrange held by Lorca, taking full ownership of Spain's leading telecommunications operator for €4.25 billion in cash. The transaction concludes a process initiated in December 2025 and elevates Spain to a fully consolidated, strategic position within Orange Group.

Physical AI Deployment in Defense and National Security

Alan Webber — Wed, 17 Jun 2026 04:00:00 GMT

This IDC Perspective provides a comprehensive assessment of Physical AI for U.S. and NATO defense and intelligence agencies, the Defense Industrial Base (DIB), and the technology vendors supplying this market. The document examines technology domains, operational applications, adversarial risks, AI factory infrastructure requirements, policy and governance challenges, and acquisition barriers. Recommendations are structured for both national security mission owners and the technology industry that serves them.

“Physical AI is no longer a technology defense leaders can afford to study at arm’s length,” said Alan Webber, program vice president for National Security, Defense, and Intelligence (D&I) at IDC. “The commercial ecosystem is mature, near-peer adversaries are deploying at scale, and the decisions made in the next 18–24 months will shape what the United States and allied commanders can actually field when it counts.”

U.S. Regional and Local Government Agencies Have Aggressive Value Realization Goals for AI

Alison Brooks, Ph.D., Ruthbea Yesner — Wed, 17 Jun 2026 04:00:00 GMT

This IDC presentation examines how U.S. regional and local governments are setting and pursuing value realization targets for AI. The analysis draws on an IDC survey of 383 senior IT and non-IT leaders across state agencies, counties, and municipalities.

The findings show that AI has become a material budget priority: Half of regional and local agencies plan to direct more than 11% of their IT budget to AI in FY26. The use cases anchoring these investments span IT operations, cybersecurity, and citizen-facing service delivery. Value expectations are compressed and concrete — 73% of agencies expect measurable returns within 12 months of deployment, and the majority are targeting a 2–3x ROI within 24 months. Success metrics reflect operational realities: faster decision-making, improved user experience, cost efficiency, workforce productivity, and mission outcomes.

AI Inferencing at the Edge — Start-Ups and Vendors to Watch for 2026

Nina Turner — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective profiles start-ups and established semiconductor vendors competing for AI inferencing workloads at the edge in 2026. The document covers 10 global start-ups spanning the United States, Israel, the Netherlands, South Korea, Canada, Taiwan, Japan, and Slovakia that have received funding or achieved meaningful commercial traction in the past 12 months, alongside 12 major established vendors.

“Edge AI inference has crossed the threshold from proof of concept to production. The companies that navigate 2026 well will be those that match silicon architecture to workload reality, prioritize software portability, and consider supply chain geography,” says Nina Turner, research director, Enabling Technologies: AI Edge Processor Architectures, IDC.

AI-Driven Demand Forecasting: What to Expect in the Near Future

John Bermudez — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines how AI is transforming demand forecasting from model-driven processes to platforms that incorporate planner input, behavioral data, and agent-based execution. Many organizations continue to rely on manual intervention due to limitations in traditional planning systems and data models. This document outlines how CIOs can address these challenges by focusing on data readiness, selecting platforms with embedded AI capabilities, and adopting phased, outcome-driven implementation approaches.

“AI-driven demand forecasting is not just about improving models; it is about enabling organizations to translate insights into action through integrated planning and execution,” says John Bermudez, adjunct research advisor for IDC’s IT Executive Programs (IEP).