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

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

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).

AI-Powered IT Vendor Rationalization: Why, When, How?

Dr. Ron Babin — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective explains that as IT portfolios grow in complexity — driven by SaaS sprawl, cloud proliferation, and decentralized procurement — vendor rationalization has become a strategic imperative for CIOs. This document addresses three questions: Why to rationalize, when to act, and how to execute? The document presents a phased framework anchored in AI-powered discovery, the 4R decision model, TCO modeling, and continuous governance — transforming rationalization from a periodic exercise into a living capability that reduces costs, mitigates risk, and builds a resilient IT supply chain.

"Managing a bloated IT vendor portfolio is not just a cost problem — it is a risk, governance, and innovation problem. CIOs who pursue AI-powered rationalization as a continuous discipline will build leaner portfolios and redirect savings toward the investments that differentiate their business," says Dr. Ron Babin, adjunct research advisor for IDC's IT Executive Programs (IEP).

Agentic AI Poses New Data Resilience Risks

Johnny Yu — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines how the adoption of agentic AI is redefining data resilience requirements. Organizations are under pressure to deploy AI agents rapidly for productivity gains, yet many lack the guardrails needed to prevent their agents from causing large-scale, unintentional data modification or deletion. This document outlines the nature of the emerging risks, pillars of AI agent-ready data resilience, and steps IT buyers should take to prepare their organizations for an era defined by machine-speed actions.

"Agentic AI introduces new data risk that organizations have not had to contend with before," says Johnny Yu, research manager, IDC. "Unlike with ransomware, AI agents already have access to organizations' environments, and their mistakes can change or delete data at a scale and speed that previous data resilience strategies did not account for," adds Yu.

Compliant by Border, Defended by Design: Reconciling Sovereignty Mandates with AI-Enabled Cyberattackers

Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines how digital sovereignty has rapidly evolved from a narrow focus on data residency to a broader, more strategic approach — shaping cybersecurity architecture, AI and data governance, and operational models. Regulatory and geopolitical pressures are top of mind for organizations as they balance sovereignty mandates with security effectiveness. Adhering to the variety of cybersecurity rules and geopolitical desires will require a more federated, geographically diversified, and compliance-aware set of capabilities as organizations simultaneously navigate the agentic AI era.

“When adversaries ignore borders, does insisting on sovereign-only cybersecurity capabilities protect us — or leave the battlefield to the attacker? A nation or enterprise that is sovereign but underprotected has not achieved security — it has achieved isolation,” says Craig Robinson, research vice president, Security and Trust, IDC.

Elevating Technology Team Performance: Actionable Models for Upskilling and Leadership

Niel Nickolaisen — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective describes specific models and tools that leaders can use for the internal upskilling and talent development of the current members of a technology organization. IDC data indicates that upskilling and developing the technology team are consistent priorities for technology leaders. Team development is built around individual development plans that align the talent and interests of technology team members with the evolving needs of the organization in an intentional and consistent way.

“Developing the skills and capabilities of the technology team is one of the most important roles of technology leaders,” says Niel Nickolaisen, adjunct research advisor for IDC’s IT Executive Programs (IEP). “Team development creates a win-win-win. The members of the team win by improving their skills and careers. The organization wins by having a more skilled and capable technology department. The technology leader wins by shifting focus from operations and tactics to the strategic technology future of the organization.”

Google Introduces Its Vision for the Agentic Era and Beyond at Google Cloud Next and Google I/O

Tue, 16 Jun 2026 04:00:00 GMT

Google's announcements at Cloud Next and I/O '26 mark a strategic shift toward deeply integrated agentic AI, embedding Gemini models and agent capabilities across its portfolio. The unified Gemini Enterprise platform, Agentic Data Cloud, and robust governance tools position Google to address enterprise AI adoption barriers, enabling scalable, secure, and autonomous workflows. This comprehensive approach signals Google's intent to lead the agentic era for both enterprises and consumers, while emphasizing governance, interoperability, and productivity gains.

As competition for agentic workloads intensifies, strategies among technology providers will continue to evolve," says Tim Law, research director, AI and Automation, IDC. "Enterprises need to gain a holistic view of the evolving agent landscape to ensure they deploy optimally performing agentic AI systems in a multiagent, multimodal, multimodel era."

IDC Survey: Retail Technology Buyer Outlook on AI and Agentic, March 2026 — IDC's Future Enterprise Resiliency and Spending Survey Wave 1 and Wave 2, 2026

Ananda Chakravarty, Nigel Wallis — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Survey presents results from IDC's 2026 Future Enterprise Resiliency and Spending Survey (FERS Survey) Wave 1 and Wave 2 with a specific focus on the retail industry. It provides insights into how retail organizations are addressing risks to IT spending, setting AI investment priorities, and adopting agentic technologies for 2026. The survey examines how IT leaders in retail measure the level of success in realizing benefits from AI initiatives, the extent of AI adoption, and their responses to technology providers' AI marketing messages.

"Retail organizations are rapidly deploying AI agents across multiple business areas, outpacing the global average, even amid recession concerns. This resilience signals a strategic shift: AI is now seen as essential infrastructure for navigating uncertainty, not a discretionary project," says Ananda Chakravarty, VP, Retail Insights, IDC. "Retail leaders are betting that AI-driven adaptability and risk management will be decisive in weathering economic shocks and supply chain disruptions. This mindset is redefining technology priorities, with AI and security now at the core of business continuity and future growth strategies, rather than peripheral innovation."

Industrial DataOps: The Foundation for Industrial Transformation

Jonathan Lang — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines the relationship between Industrial DataOps platforms and key industrial transformation initiatives. Industrial enterprises have wrestled with data quality and accessibility challenges for many years. As next-generation automation capabilities, AI in its numerous forms, and increasingly demanding business conditions create pressure to leverage data more effectively, Industrial DataOps platforms are proving themselves as the essential enabling infrastructure to adopt new technologies at scale.

“I think, five years ago, most companies thought of data engineering tools as interesting but unnecessary master data management middleware solutions,” says Jonathan Lang, research director, Worldwide IT/OT Convergence Strategies at IDC. “Now, they’re finally realizing that bespoke data integration will not serve any major technology movement effectively at scale. The criticality and timeliness of Industrial DataOps platforms cannot be overstated for enterprises seeking to capitalize on current and future technology capabilities.”