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HPE 2Q26 Results: Two Years Ahead of Plan

Matthew Eastwood — Thu, 04 Jun 2026 04:00:00 GMT

Red Hat and IBM Launch Project Lightwell: Redefining Enterprise Open Source Security

Jim Mercer, Katie Norton — Thu, 04 Jun 2026 04:00:00 GMT

On May 28, 2026, IBM and Red Hat announced Project Lightwell, a $5 billion commitment backed by more than 20,000 engineers and agentic AI capabilities to establish a trusted enterprise clearinghouse for open source software security. It is intended to address the accelerating volume of vulnerabilities across the open-source supply chain, as AI-driven threat discovery outpaces enterprise remediation capacity. It combines coordinated upstream vulnerability management with downstream patching, delivered without access to application code or forced dependency upgrades.

Best in Security and Trust: Taiwan Business Bank Leads the Way in Redefining Fraud Defense for the Digital Banking Era

Sakshi Grover, Charles Cedric Joshua Tamayo — Wed, 03 Jun 2026 04:00:00 GMT

This IDC Perspective discusses the Best in Security and Trust Award winner from the IDC Future Enterprise Awards in Asia/Pacific and showcases Taiwan Business Bank's Smart Antifraud Network and its role in advancing identity-centric, AI-driven fraud prevention to strengthen digital trust in banking.

"Taiwan Business Bank believes that digital trust starts with intelligent protection and human-centered design. The Smart Antifraud Network reflects this philosophy, combining AI detection, cross-sector collaboration, and user-centric innovation, such as the App Senior Version and Transfer Limit Lock, to proactively protect every customer. However, technology alone is not enough. That is why the bank also invests in employee education, AI alert systems, and more than 150 fraud education campaigns every year, ensuring that protection extends beyond tools into awareness and resilience. The bank's vision is clear: to build a zero-fraud society in which everyone — from seniors to youth, investors to entrepreneurs — can enjoy a secure and trusted digital banking experience," says Lawrence Tsai, senior VP and general manager, Taiwan Business Bank.

"In an era defined by synthetic identities and AI-powered fraud, digital trust is being redefined at the intersection of identity, intelligence, and real-time decisioning. Taiwan Business Bank's Smart Antifraud Network demonstrates a shift from fragmented, control-based security to an integrated, identity-centric architecture that combines real-time behavioral analytics, AI-driven detection, and cross-ecosystem intelligence. By embedding controls across the log-in, transaction, and device layers and leveraging federated learning to enhance fraud detection without compromising data privacy, the bank establishes a scalable model for addressing synthetic identity and AI-driven fraud. This approach reflects how financial institutions can operationalize trust by aligning security, user experiences, and ecosystem collaboration into a unified, intelligence-driven framework," says Sakshi Grover, senior research manager, cybersecurity products and services, IDC.

Digital Twins 2026: Five Key Trends for Industrial Engineering and Operations

Jeffrey Hojlo, Jonathan Lang — Wed, 03 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines key technology and business trends impacting the evolution and development of digital twin strategies for industrial enterprises in 2026. Digital twin strategies continue to be an evolving architectural and business framework for developing and consuming data models pertaining to physical world products, assets, and processes. As data management, modeling, simulation, and other technology capabilities advance, the viability of true system-level digital twins advances along with them.

"With the big push to leverage AI, every industrial enterprise is looking for the right approach to compile data from multiple systems and improve user interactions and interfaces to drive data-driven decisions," says Jonathan Lang, research director, Worldwide IT/OT Convergence Strategies for IDC. "These principles of an intuitive graphical interface and dynamic data models combining simulation, real time, and other data are exactly what companies have hoped to achieve through digital twins for many years."

IDC PeerScape: Practices for Unified, Omni-Channel, and Personalized Experiences in Retail

Ornella Urso — Wed, 03 Jun 2026 04:00:00 GMT

This IDC PeerScape examines five practices that retailers can deploy today to close the online-offline experience gap, maximize the value of physical stores, and build a truly unified omni-channel customer experience powered by agentic AI.

"Retailers are not a legacy channel; they are becoming the most sophisticated touchpoint in the omni-channel shopping experience ecosystem. The retailers winning today are those investing in technologies that make every associate smarter, every square meter more productive, and every visit more personal than the last," said Ornella Urso, research director, IDC Retail Insights.

Jenzabar Annual Meeting 2026: Charting the Path to Jenzabar One Web with Confidence

Matthew Leger — Wed, 03 Jun 2026 04:00:00 GMT

Jenzabar held its 25th annual customer meeting (JAM 2026) at the Gaylord Texan in Dallas from May 27 to 30, drawing more than 1,200 higher education customers. Throughout the event, the company put customer confidence, collaboration, and trust at the center of its message, depicting the move to Jenzabar One Web — the company's cloud-based, modular enterprise resource planning (ERP) and student information system — as a journey focused on addressing each institution's unique needs, challenges, and opportunities. What stood out to IDC was how closely the agenda tracked the challenges documented in the IDC MarketScape: North America Higher Education SaaS and Cloud-Enabled Student Information Systems 2024 Vendor Assessment (IDC #, September 2024). Jenzabar provided concrete updates and strategic priorities to address each of the following key challenges: buggy releases, performance issues, limited change management support, and difficulty with migrating large on-premises systems to the cloud.

Retail Innovation in the Age of Agentic AI: Key Takeaways from the AWS Retail and Consumer Goods Analyst Day

Roberta Bigliani, Filippo Battaini, Dorothy Creamer, Cristiano Quattrini — Wed, 03 Jun 2026 04:00:00 GMT

This IDC Market Note examines the key themes and customer evidence presented at the AWS Retail and Consumer Goods Analyst Day, held on April 23, 2026, in London. The event confirmed that agentic AI is moving from experimentation to production across retail and consumer goods, with deployments at The Very Group, Migros, and Ocado Group demonstrating measurable returns in content supply chain management, back-office ERP automation, and fulfillment technology.

"Organizations achieving the strongest results combine composable architecture with domain-level AI deployment and active change management," says Roberta Bigliani, group vice president, IDC. "Retail and consumer goods executives should treat architectural readiness, semantic content strategy, fulfillment portfolio design, and workforce transition as immediate investment priorities."

AVEVA World 2026: Building a Data Ecosystem of Innovation

Jonathan Lang — Tue, 02 Jun 2026 04:00:00 GMT

AVEVA World 2026 highlighted the company’s continued ambitions to simultaneously build an agnostic data platform for ecosystem collaboration while competing in the coveted analytics and decision-support domain. This vision is grounded in the radical assumption that if a company solves customer problems, financial success is a natural byproduct.

IDC Future Enterprise Awards: Special Award for AI Innovation — Best in AI Everywhere Winner Profile 2025

Deepika Giri, Shashank Nigam, Daeil Chun — Tue, 02 Jun 2026 04:00:00 GMT

This IDC study discusses DANA Indonesia's AI-ready platform, which unifies enterprise data and scalable infrastructure to embed AI across business functions, supported by robust governance and security. Through model as a service (MaaS) and internal education, DANA achieves agile model management, broad AI literacy, and measurable improvements in productivity, costs, and customer service.

"In the race to harness AI, it's not the algorithms alone that set leaders apart; it's the disciplined mastery of enterprise data, talent, and culture that transforms technology into lasting competitive advantage," says Deepika Giri, associate VP, IDC Asia/Pacific.

IDC PeerScape: Practices for Navigating the Early Stages of Enterprise Adoption in Quantum Computing

Heather West, PhD — Tue, 02 Jun 2026 04:00:00 GMT

This IDC PeerScape draws on interviews conducted during the Going Mainstream: Enterprise Pathways to Quantum Adoption session at IDC Directions 2026 with Marna Kagele, technical fellow at Boeing, and Lucus Haugen, director of data science at AT&T. Their experiences surface three practices essential to building a sustainable quantum initiative:

The following are the three best practices uncovered through this document:

Quantum's developmental maturity challenges early investment decisions. Organizations must find ways to justify quantum investment before the technology can deliver production-scale results. Boeing and AT&T both found that anchoring early investment to specific, well-understood operational problems and creating organizational structures that allow quantum to be evaluated on longer timelines than traditional technologies were critical to building sustained momentum.
Classical infrastructure creates unexpected bottlenecks in quantum workflows. As quantum workflows scale in complexity, the classical infrastructure surrounding them often becomes the primary constraint rather than the quantum hardware itself. Data preparation, computational overhead, and competition for classical resources with AI and other initiatives all emerge as significant challenges that organizations must plan for proactively.
Quantum success requires expertise that is difficult to assemble. Building a capable quantum team is one of the most frequently cited barriers to quantum adoption. Boeing and AT&T both found that the most effective teams are not those built around quantum specialists alone but those that balance deep domain expertise with quantum knowledge and treat quantum software tools as an extension of existing engineering and data science capabilities.

"What Boeing and AT&T demonstrate is that you do not need to wait for fault-tolerant quantum systems to begin making meaningful progress. The work starts now, with the problems you already have and the teams you already have in place," said Heather West, PhD, senior research manager, Quantum Computing, IDC.