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Ericsson Private 5G Now Available Through Verizon Business Internationally

Alejandro Cadenas, Paul Hughes, Jason Leigh — Wed, 01 Jul 2026 04:00:00 GMT

A Guide to Transformational Leadership

Alizabeth Calder — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Perspective represents a guide to transformational leadership. Since the 1990s, transformation conversations have focused on keeping up with and capitalizing on rapid, constant technological change. More recent thought leadership emphasizes the importance of being intentional about what drives broad-based, meaningful impact. “We are now much more focused on the value that will be realized through transformation investment,” says Alizabeth Calder, adjunct research advisor at IDC’s IT Executive Programs (IEP). “By looking beyond the digital change plan, transformational leadership can be the connective tissue between digital and true organizational transformation. Bringing a holistic approach to change, by inspiring and empowering collective alignment, will optimize results at all levels of the organization.”

“I recently had the opportunity to lead an entire organization through a significant cultural and operational transformation, working with the team from C-level leaders to frontline client service team members. By intentionally taking a transformational leadership approach, we achieved unheard-of improvements in client satisfaction, employee turnover, and business growth. At the conclusion of the three-year change initiative, engagement surveys asking for the word that best described leadership produced a highly satisfying word cloud for the team, recognizing ‘trust,’ ‘a better place,’ ‘clarity,’ ‘learning,’ ‘impact,’ ‘confidence,’ ‘care,’ and ‘insight.’ I can’t imagine a more personally satisfying outcome after leading a team through a time of intense and complicated change.”

AI Readiness: Reducing App Sprawl, Data Debt, and Integration Risk to Scale Enterprise AI

Dr. Ken Knapton — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Perspective examines why many enterprise AI initiatives stall between experimentation and scaled impact. The document argues that the limiting factor is often not model access but the condition of the digital core: app sprawl, fragmented data, brittle integration, and uneven governance. The document also outlines why technology leaders should treat infrastructure readiness as a business capability and provides guidance for reducing structural complexity so AI can be deployed with greater speed, control, and enterprise value.

“AI readiness depends on infrastructure readiness. Enterprises cannot consistently scale AI on top of fragmented application portfolios, brittle integration layers, and poorly governed data estates,” says Dr. Ken Knapton, adjunct research advisor for IDC’s IT Executive Programs (IEP). “As AI adoption accelerates, buyers should focus less on adding isolated tools and more on simplifying the application estate, governing data, and modernizing the integration patterns that determine whether AI can scale safely and deliver measurable value.”

AWS New York Summit 2026: Implications for IaaS in the Agentic AI Era

Jasdeep Singh — Tue, 30 Jun 2026 04:00:00 GMT

AWS' infrastructure commitment at the Summit reflects a multiyear buildout strategy. The $200 billion AI infrastructure commitment for 2026, spanning 39 global regions, 123 availability zones, and 4 GW of new power capacity added in 2025, provides the physical foundation for what AWS describes as its "silicon to agentic solutions" architecture. AWS has publicly stated a goal to double total compute capacity by the end of 2027, a signal that demand projections are running ahead of existing provisioned capacity. The new agentic services — AgentCore Harness, AWS Context, Amazon Quick, and AWS Continuum — indicate that AI Factories offer more than compute capacity alone, evolving toward an integrated infrastructure foundation designed to support and scale enterprise AI workloads.

Accelerated Compute Adoption Dynamics — IT Buyer Report, 2026

Chris Drake — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation explores insights from IDC’s 2025 Enterprise Infrastructure Pulse Compute Survey, which collects responses from over 880 leaders and decision-makers in IT roles from across diverse industry sectors. IDC’s Enterprise Infrastructure Pulse Compute is one of four quarterly surveys of experts responsible for purchasing IT infrastructure. Taking the pulse of the enterprise IT market, it offers valuable analyst insights into infrastructure adoption and trends.

This IDC Tech Buyer Presentation offers insights into the procurement of accelerated compute infrastructure, including server platforms that incorporate GPUs, FPGAs, ASICs, and DPUs from leading industry providers. It examines the extent to which individual accelerated compute technologies, including those from specific vendors, are perceived to be a purchase inhibitor. It also elaborates on the reasons why those accelerated compute technologies are associated with specific purchase inhibitors and gives advice to IT buyers on what to consider when selecting an accelerated compute platform.

“All leading accelerator technologies are associated with certain purchase inhibitors, including concerns about their contribution to overall cost, as well as skill set requirements and integration challenges. IT buyers may therefore benefit from shopping around,” says Chris Drake, senior research director, Compute and Service Provider Infrastructure at IDC. “Accelerated compute purchase decisions should be guided by a clear understanding of the desired business outcome. A total cost of ownership assessment should also be accompanied by an evaluation of software ecosystem readiness and vendor support offered.”

Architecting a Sustainable Energy Enterprise with a Unified Digital Core: PETRONAS

Xiao Liu — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Perspective examines how PETRONAS, IDC's Future Enterprise of the Year, transformed itself from a traditional energy major into a digitally determined enterprise. At the center of the shift is the Enterprise Optimization Centre (EOC), a digital twin that integrates operational, commercial, and sustainability data across the hydrocarbon value chain and acts as the company's digital control tower. Through EOC Molecular, PETRONAS embeds carbon and financial value into the same decisions, scaling digital while driving sustainability — and reports measurable gains in productivity, cost, agility, revenue, and talent retention. The study offers actionable insights for established enterprises pursuing enterprisewide, platform-based digital transformation in asset-intensive, highly regulated industries.

"PETRONAS shows that even a large, asset-intensive energy company can become a Future Enterprise by treating digital as a single, enterprisewide platform rather than a portfolio of projects. By embedding sustainability into the same system that optimizes commercial performance, PETRONAS turns a difficult trade-off into a source of resilience and long-term value," says Xiao Liu, research manager, AI-Fueled Business Strategies, IDC Asia/Pacific.

Evolving Agentic Testing — Leveraging Tricentis with User Reference Summary Context

Melinda-Carol Ballou — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Perspective is one in a series of IDC documents that examine agentic testing and leveraging both AI and ML for automated software quality (ASQ) solutions, providing vendor analysis and customer reference context for technology adoption and end-user buyer decision-making. We discuss Tricentis' Agentic Quality Engineering platform and AI Workspace, including capabilities launched or updated in 1H26. Tricentis' portfolio breadth across test management, model-based automation, performance testing, and quality intelligence — combined with its focus on ERP and packaged application coverage — positions the company to address pressing demand for coordinated, governed AI agents for software quality. We discuss Tricentis relative to trends in user adoption demand for combined agentic testing, risk-based quality intelligence, and scaled enterprise execution. We do so in the context of a volatile economy with tariffs, ongoing flexible work, geopolitical upheaval, and unpredictability evolving into 2H26 and 2027. We also include summaries of customer references from a global information services and technology company and the healthcare information services arm of a global data and technology company.

"IDC sees adoption of AI and ML for testing, including agentic testing for AI assurance, enabling dynamic execution for high-quality software, innovation, and adaptive responsiveness to dynamically changing environments. Our research shows that around 91% of organizations are piloting, using, or expanding the use of AI for software testing. Key areas of focus include test process improvement insights, visual testing, test case creation, root cause analysis, test prioritization, and synthetic test data. As code creation increases rapidly with the use of code assistants, the role played by agentic testing increases dramatically. Organizations prioritize code quality and consistency over development speed as the primary goal for agentic AI tools, and trust in agentic AI is highest for code testing, where outcomes are observable and verifiable. It is in part due to these trends that IDC has chosen to prioritize this area as one of several areas of focus for a series of end-user–oriented updated vendor analyses that include customer summaries." — Melinda Ballou, research director, AI Assurance, ALM, Quality, and Portfolio Strategies, IDC

IDC Innovators: Vertical AI, SaaS, and Industry Clouds, 2026

Nadia Ballard — Tue, 30 Jun 2026 04:00:00 GMT

This IDC Innovators presentation identifies three companies developing industry-specific solutions in a growing market driven by demand for verticalized AI, data integration, and governance across complex, highly regulated industries.

“These emerging vertical software leaders highlight the importance of meaningful differentiation, which today increasingly lies in domain-specific AI, proprietary data access, workflow design, and integration depth,” said Nadia Ballard, research director, AI Verticalization and Industry Cloud Strategies at IDC.

IDC MarketScape: Worldwide Digital Employee Experience 2026 Vendor Assessment

Phil Hochmuth, Snow Tempest, Shannon Kalvar — Tue, 30 Jun 2026 04:00:00 GMT

This IDC study evaluates vendors in the worldwide digital employee experience (DEX) market, highlighting how DEX platforms are evolving to proactively optimize employee productivity, satisfaction, and operational efficiency. The assessment details vendor strengths, challenges, and market positioning, emphasizing the convergence of DEX with IT operations, automation, analytics, and employee sentiment measurement. As enterprises prioritize hybrid work and digital transformation, DEX is becoming foundational to workplace strategy and business outcomes.

"Modern enterprises thrive or die based on how well their workforce can adapt to, and take advantage of, new digital tools and platforms. Improving employee experiences with these tools should be a critical priority across all levels of enterprise leadership, from IT to line-of-business and C-level executives," says Phil Hochmuth, research vice president, Endpoint Management and Enterprise Mobility. "Enterprises must be thoughtful of use cases and industry-specific requirements when picking a digital employee experience vendor to monitor, analyze, and remediate end-user challenges with devices, applications, and enterprise systems and platforms."

IDC MarketScape: Worldwide Software Platforms for National Civilian Government AI-Enabled Case Management 2026 Vendor Assessment

Massimiliano Claps — Tue, 30 Jun 2026 04:00:00 GMT

This IDC study analyzes the worldwide software platforms for national civilian government AI-enabled case management market. Government case management systems are mission-critical platforms used to track and resolve cases ranging from benefit applications to criminal investigations. They enable public agencies to intake requests, investigate issues, collaborate across teams, and ultimately adjudicate outcomes.

“Governments worldwide apply case management across a wide spectrum of program areas, such as social services and benefits, public health, immigration and citizenship processing, law enforcement and public safety, justice and legal proceedings, licensing, permitting and regulatory compliance, grants and loans, administrative procedures, freedom of information (FOI) requests, employee misconduct investigations, workers’ compensation claims, and fraud investigations. Case management software platforms are being reshaped by AI with pretrained agents being embedded in applications to increase caseworker productivity and with agentic AI development, orchestration, and governance capabilities being expanded to enable governments to deploy AI in mission-specific environments to support critical case decisions.” — Massimiliano Claps, research director, IDC Government Insights