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MCP Dev Summit: Developers Driving the Future of Agentic Systems

Jim Mercer — Tue, 07 Apr 2026 04:00:00 GMT

The MCP Dev Summit North America 2026 marked a pivotal transition in the evolution of agentic AI, moving from experimentation to scaling and making it a production reality. The Model Context Protocol (MCP) has rapidly emerged as a foundational integration layer for connecting AI agents to enterprise systems, data, and workflows. With strong momentum from the Agentic AI Foundation (AAIF), the ecosystem is coalescing around open, interoperable standards. The event highlighted how developers are now central to operationalizing agentic systems, moving beyond isolated tools to composable, governed, and scalable architectures. As MCP matures alongside complementary frameworks such as agent-to-agent (A2A) communication and emerging commerce protocols, the industry is entering a phase where reliability, governance, and developer experience will define success.

Agentic Commerce Reality and the Last Mile of Human Customer Experiences

Mon, 06 Apr 2026 04:00:00 GMT

This IDC Perspective discusses the importance of agentic commerce. Agentic commerce is beginning to reshape the buyer journey, but in uneven and uncomfortable ways: discovery is rapidly shifting to intent-driven, zero‑click, and agent‑curated results; experiences are becoming highly personalized yet less brand led; transactions are faster but leave accountability murky; fulfillment is quietly optimized rather than reinvented; and post‑purchase may end up as the last real arena for human-differentiated customer experience.

"Agentic commerce is often marketed as a simple story of the inevitability of smarter AI. That's far from true. This is a business soap opera about the dynamics of power, profit, and control," says Heather Hershey, research director of AI-Enabled Digital Commerce at IDC. "The progression of agentic commerce will be asymmetrical across various regions and domains. The result: the need for complex, new operational, and narrative strategies that appeal to humans and agentic AI interfaces concurrently."

Accenture 2Q FY26: Record Bookings and Continued Margin Expansion — Accelerating Agentic and Platform-Mediated Execution

Lars Goransson, Douglas Hayward — Thu, 02 Apr 2026 04:00:00 GMT

Aligning Capital Allocation with Strategy: The Role of Functional Business Architecture in CFO-Led Value Creation

Heather Herbst — Thu, 02 Apr 2026 04:00:00 GMT

This IDC Perspective looks into how functional business architecture (FBA) provides CFOs and executive teams with a structured framework to directly align corporate strategy, funding decisions, and measurable value realization. By shifting the focus from project-based funding to capability-driven investment, FBA enables organizations to prioritize resources based on strategic impact, improve capital discipline, and enhance transparency across the funding life cycle. This approach ensures that every investment advances defined business capabilities tied to strategic outcomes, reduces redundant spending, and strengthens execution accountability. As enterprises adopt more dynamic and technology-enabled operating models, FBA becomes essential for translating strategic intent into funded, outcome-driven execution.

“Functional business architecture empowers CFOs to transform strategy from aspiration into measurable enterprise value by ensuring every investment is directly linked to business capability and strategic outcomes. In today’s dynamic environment, this disciplined approach is essential for sustainable growth and competitive differentiation.” — Heather Herbst, research director, Worldwide CFO Buyer insights

IDC MarketScape: Worldwide AI-Enabled Utility Customer Experience Management Solutions 2026 Vendor Assessment

Gaia Gallotti, Jean-François Segalotto — Thu, 02 Apr 2026 04:00:00 GMT

This IDC study evaluates vendors providing AI-enabled customer experience management (CXM) solutions to utilities worldwide. It analyzes vendors' capabilities, strategies, and comparative positioning in a market undergoing structural transformation. The report provides utilities with a structured framework to assess vendor offerings across industry depth, platform architecture, data readiness, AI integration, and ecosystem extensibility. It is intended to support utilities as they modernize customer operations to reduce cost to serve, strengthen customer trust, enable electrification-driven business models, and scale AI adoption responsibly.

"Utilities are operating in an environment defined by increased customer vulnerability, heightened regulatory scrutiny, expanding product portfolios, and rising expectations for seamless digital engagement," said Gaia Gallotti, research director, IDC Energy Insights. "At the same time, generative AI is beginning to deliver measurable productivity gains within customer operations, particularly across contact centers and digital self-service. Utilities that modernize their CXM platforms with strong data foundations, embedded AI capabilities, and flexible, industry-specific architectures will be better positioned to reduce cost to serve, unlock new revenue streams, and build long-term customer trust in an increasingly complex energy landscape."

NVIDIA and Storage Partners Back New STX Reference Architecture to Accelerate Agentic AI

Carol Sliwa, Henry Arzumanian — Thu, 02 Apr 2026 04:00:00 GMT

At GTC 2026 in San Jose, NVIDIA spotlighted storage as a critical component of the infrastructure necessary to keep AI factories running at optimum performance with the launch of its BlueField-4 STX reference architecture. Major AI storage players confirmed their intention to codesign and support STX — which includes the previously announced Inference Context Memory Storage (CMX) platform to accelerate and scale agentic AI — starting in the second half of 2026. Many storage vendors also took the occasion to provide updates on their support for the NVIDIA AI Data Platform, a customizable reference design introduced at last year's GTC event, as well as the latest developments on their AI infrastructure.

Charting a Path to Agentic Value: Agentic Ways of Working Series

Ananda Chakravarty, Ruthbea Yesner — Wed, 01 Apr 2026 04:00:00 GMT

This IDC Tech Buyer Presentation outlines practical approaches to realizing the agentic AI value that leaders must consider to operate effectively in emerging human-AI work environments. Agentic AI shifts the enterprise from one-off chatbot interactions to goal-driven digital workers that execute and optimize entire workflows across functions like finance, supply chain, and customer experience. This evolution unlocks new value by combining intelligent automation, continuous decisioning, and deep use of proprietary data. At the same time, the shift in agentic AI is reshaping roles, skills, and accountability for human teams.

IDC TechBrief: Synthetic Data

Kathy Lange — Wed, 01 Apr 2026 04:00:00 GMT

This IDC TechBrief examines the needs, use cases, adoption, risks, and success factors associated with synthetic data as a critical enabler for AI innovation, addressing data scarcity, privacy, and compliance challenges. Adoption is accelerating, especially in regulated sectors, driven by advances in generative AI and tightening regulations. Key success factors include robust process management, advanced technology, and skilled personnel. Synthetic data delivers faster time to market, cost savings, and improved model accuracy, but organizations must prioritize validation, privacy safeguards, and cross-functional collaboration to mitigate risks and maximize business value.

"Synthetic data isn't just a workaround," says Kathy Lange, research director, AI, Data, and Automation Software at IDC. "It's the new foundation for responsible, scalable AI. Will your organization lead the next AI wave, or risk falling behind?"

2026 Strategy for Software Delivery: Mandates, Tactical Priorities, and Tech Investment Areas

George Mironescu — Tue, 31 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Presentation discusses the key software engineering mandates and technology investment areas for 2026. The presentation draws on insights from over 1,000 decision-makers surveyed from November 2025 to January 2026 for IDC's AI and Cloud-Native Software Delivery Survey.

The presentation provides insights into the thinking of various roles involved in shipping software, including application development, solution architecture, infrastructure and platform engineering, security, and IT leadership.

Drawing from 2025 initiatives and areas where delivery gaps persist, the presentation informs senior IT leaders about the most important tactical and strategic priorities shaping the agenda in 2026 and beyond.

A Unified Approach to AI Governance in K-12 Education

Matthew Leger — Tue, 31 Mar 2026 04:00:00 GMT

This IDC Perspective examines how unified AI governance can help K-12 districts harness AI to improve student outcomes, educator effectiveness, and operational efficiency while managing escalating legal, ethical, and security risks. It adapts IDC's unified AI governance model to K-12, outlining how strategy and oversight, organization and culture, core governance processes, and AI technology architecture work together to align AI use with student protections, community expectations, and global regulatory requirements. Drawing on case studies from leading districts worldwide, the report highlights practical steps for building cross-functional governance structures, establishing robust data and infrastructure foundations, balancing risk management with space for innovation, and embedding sustainability and responsible AI outcomes into everyday decision-making. It concludes with concrete recommendations for technology buyers on using procurement, support structures, and professional learning as levers to move from fragmented, reactive AI responses toward a coherent, districtwide governance framework.

"AI will not wait for schools to be ready, which is why K-12 leaders must treat governance as infrastructure, not insurance," says Matthew Leger, senior research manager, Worldwide Education and EdTech Digital Strategies, IDC. He also adds, "Districts that invest now in unified AI governance turn uncertainty into a strategic asset, building the trust, capacity, and technical foundations they need to scale AI in ways that are safe for students and sustainable for their communities."