rsscloudcomputing

F5 GTC 2026 and AppWorld 2026 Announcements – F5 Delivers Solutions for Improved “Tokenomics”, AI Infrastructure, and Application Delivery

Paul Nicholson — Thu, 26 Mar 2026 04:00:00 GMT

F5’s recent announcements at NVIDIA GTC 2026 and F5 AppWorld 2026 advances its capabilities across networking for AI and AI for networking, delivering both platform and advanced modular features. The integration of BIG-IP Next for Kubernetes with NVIDIA BlueField-3 DPUs enables enterprises and cloud providers to optimize token economics, maximize GPU utilization, and scale AI workloads efficiently— enhancing token throughput and time to first token. F5’s new AI-driven and orientated solutions, including F5 Insight for ADSP and certified Red Hat OpenShift Operators, empower organizations with deep observability, actionable intelligence, and streamlined security controls. This approach can reduce AI infrastructure costs, accelerate productivity, and support rapid innovation, positioning F5 to offer secure, scalable, and responsive AI-powered digital experiences across distributed environments.

Facility Management Applications Are Increasingly IT-Driven as Technology Use Increases

Brian O'Rourke — Wed, 25 Mar 2026 04:00:00 GMT

The worlds of IT and facilities are increasingly intertwined. As facilities management (FM) becomes increasingly reliant on software, and especially as it moves toward automation with the growth of AI, sensors, and IoT, IT professionals must become a greater part of the process.

"The convergence of IT and FM is an operational reality. Facility managers must get used to an era of IT/OT convergence in which IT has an increasing say not just in implementing FM applications but having a key role in recommendations and decision-making," says Brian O'Rourke, research manager, Enterprise Asset Management and Smart Facilities at IDC.

IDC Market Glance: Unified Communications and Collaboration, 1Q26

Jitesh Gera, Denise Lund — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Market Glance depicts how IDC defines the market segments of the worldwide unified communications and collaboration (UC&C) market and indicates some of the players in each of these segments. It also defines and identifies the key players in the market segments adjacent to the UC&C market, which are closely related to business communications.

IDC MarketScape: Worldwide API Management 2026 Vendor Assessment

Shari Lava — Wed, 25 Mar 2026 04:00:00 GMT

This IDC study on worldwide API management for 2026 highlights a rapidly evolving market driven by multiple factors of AI business transformation in a hybrid and multicloud world. API management solutions are increasingly central to AI enablement, software development, and enterprise integration, powering modern applications and serving as the backbone for agentic orchestration. Vendors are expanding capabilities to address API sprawl, unify governance, and support event-driven architectures, with public cloud services outpacing on-premises adoption. The market is projected to grow at a 14.1% CAGR, reaching $42 billion by 2029. Buyers face persistent challenges with fragmented integration, security, and legacy system modernization, while observability, reliability, and AI-powered automation are the most sought-after features. As regulatory and sovereign AI requirements emerge, flexible deployment and robust governance will be critical for future API strategies.

According to Shari Lava, group vice president, AI, Data, and Automation, "API management is no longer just about securing and publishing APIs — it is the foundation for AI enablement, software development, and connectivity. As enterprises shift toward hybrid and multicloud architectures, the ability to unify governance, automate life-cycle management, and expose APIs as agent-ready tools will define market leaders. The winners in this space will be those that deliver robust, federated platforms that support both legacy modernization and rapid AI innovation, enabling organizations to maximize API reuse, security, and operational excellence."

IDC Survey Spotlight: Do AI Returns Mask SaaS-Driven Cost Overruns?

Jevin Jensen — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight, based on IDC's 2025 Intelligent Cloud and Edge Operations with FinOps Survey, explores that while AI projects are yielding rapid returns, cost control remains a challenge for enterprises. Nearly half of enterprises report seeing a return on their investment within a year (45%), yet only 37% feel their costs align with expectations.

SaaS-led "AI abstraction" is accelerating the adoption of AI, with 88% of businesses already using or planning to use AI-based SaaS. However, this shift results in unpredictable spending, including costs associated with tokens, API calls, and variable computing resources. IDC suggests that leading companies will respond by establishing AI-FinOps, which will involve shared responsibility between CIOs and CFOs.

IDC Survey Spotlight: Innovation Budgets and Spend on AI

Rob Tiffany — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight looks at ICT innovation budgets and the types of AI projects they are being spent on. The budget tug-of-war between innovation projects and maintaining existing systems is highlighted. Within the innovation budget, generative, agentic, and predictive AI projects are evaluated and compared. This document draws upon data collected from IDC's 4Q25 Cloud Pulse Survey.

IDC Survey Spotlight: What Comes After Adoption to Drive FinOps at Scale?

Jevin Jensen — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight examines the evolving role of FinOps in large enterprises and how expectations for AI capabilities within FinOps tools are changing. As FinOps adoption reaches new levels, shifts in how organizations evaluate supporting technologies signal a broader transition in market priorities. These developments highlight a move toward greater operational discipline and raise important questions about how vendors should position and evolve their FinOps strategies.

IDC Survey Spotlight: Which Public, Private, and Specialized Cloud Service Providers (Neoclouds) Do Organizations Consider Important to Their Cloud Strategy?

Rob Tiffany — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight examines the public, private, and specialized cloud service providers that organizations consider important to their cloud strategy in the coming two years. It shows who the leaders and up-and-comers are in the public cloud space while illustrating how the private cloud trend is lifting the fortunes of traditional IT players. Finally, it provides a glimpse of the so-called neoclouds providing specialized AI services. This document draws upon data collected from IDC's 4Q25 Cloud Pulse Survey.

IDC Survey: IDC's Enterprise Communications Services Survey, 2025 — Preferences for Deployment Models and Vendors

Jitesh Gera, Denise Lund — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey examines the current and future state of enterprise unified communications and collaboration (UC&C) adoption among midsize and large organizations in the United States, Canada, and the United Kingdom. Based on responses from 500 decision-makers involved in networking and communications strategy, the research explores deployment models, vendor usage, migration intentions, and the key factors influencing UC&C purchasing decisions. The findings highlight the ongoing shift toward hybrid and cloud-based communications environments, growing interest in platform consolidation, and the importance of reliability, integrations, and emerging AI capabilities in shaping enterprise UC&C strategies.

Tech Buyer Survey Spotlight: Will AI Workload Deployments Drive Significant Bandwidth Demand Within Datacenters Over the Next Year?

Paul Nicholson — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Survey Spotlight examines how AI workload deployments are accelerating bandwidth demand within datacenters as organizations expand infrastructure to support growing data processing and inference needs. While cloud environments remain important, many enterprises, particularly those in data-sensitive industries, are also investing in on-premises AI infrastructure and targeted network upgrades. Ensuring sufficient bandwidth and selecting the right networking architectures are becoming critical priorities to support evolving AI workload requirements.