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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.

Building an AI-Ready Data Architecture Series: The Data Synthesis Plane

Marlanna Harrington, Stewart Bond — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Presentation is part of a four-part series, with each installment examining one of the four critical planes of the enterprise intelligence architecture that work together to enable AI-ready data and drive business outcomes. These planes support continuous learning, delivery of insights at scale, and a strong data culture across your organization.

This document provides a deep dive into the data synthesis plane, analyzing how to synthesize domain-specific data products with analytics and AI models to create actionable business outcomes. It covers model training, tuning, RAG (retrieval-augmented generation), and techniques for transforming raw data into valuable insights.

Cell and Gene Therapy Orchestration Solutions

Nimita Limaye — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Perspective frames CGT’s “batch size of one” reality and positions orchestration as the workflow integration/control layer needed to scale autologous patient-product-patient operations. It spotlights the critical challenges, ensuring a secure COI/COC across a multi-enterprise network, constraint-heavy scheduling, interoperability across MES/LIMS/QMS/ERP and partner systems, and GxP-ready governance/auditability. It identifies specific use cases where AI can add value, along with the challenges. It provides practical buyer guidance and KPIs for CGT orchestration solutions.

“The future of precision medicine runs on CGT orchestration solutions: smart execution layers that connect manufacturing, QC, and cryologistics. They digitize COI/COC across the patient-product life cycle, compress vein-to-vein timelines, and optimize clinical outcomes,” said Dr. Nimita Limaye, research vice president, Life Sciences R&D Strategy and Technology, IDC.

Foundational AI Training: Six Best Practices

Gina Smith, PhD — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines the latest IDC research and enterprise case examples to outline six best practices for building effective foundational AI training programs. It provides a situation overview and actionable guidance for HR, learning, and IT leaders seeking to scale AI skills responsibly and sustainably across their organizations.

IDC Future Enterprise Awards: Special Award for Smart Cities — Best in Digital Policies Award Winner Profile 2025

Ravikant Sharma, Manoj Vallikkat — Wed, 25 Mar 2026 04:00:00 GMT

To support Shenzhen's digital twin and next-generation e-governance, the Shenzhen Big Data Resource Management Center tackled scattered and aging datacenters, fragmented networks, and siloed clouds. With a Huawei-led architecture, it created a three-site, four-center resilient base, high-capacity wavelength division multiplexing (WDM) network, and cloud platform, including AI model management. Benefits span costs, carbon, and service speed. It also sets a foundation for agentic AI.

"Shenzhen City's approach demonstrates that effective digital policy is ultimately an infrastructure challenge as much as a governance one. By consolidating fragmented datacenters, building a unified cloud, and deploying a low-latency network architecture, the city has created a scalable digital backbone that supports real-time services, digital twins, and emerging AI workloads. This platform-led approach enables governments to improve citizen experience while maintaining operational resilience and cost efficiency," says Ravikant Sharma, research director, IDC Public Sector.

"Shenzhen shows that strong digital policy execution depends on disciplined platform design and operations. By aligning resilient infrastructure, a unified cloud, and a programmable low-latency network, the city is better positioned to scale digital twin and agentic AI use cases while keeping security, service quality, and costs under control," says Manoj Vallikkat, senior research manager, IDC Public Sector.

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 MaturityScape Benchmark: Aftermarket Service Transformation in the United States, 2026

Aly Pinder — Wed, 25 Mar 2026 04:00:00 GMT

This IDC study details results from IDC’s MaturityScape Benchmark Aftermarket Service Transformation Survey exploring the efforts of aftermarket leaders with regard to service transformation. The best practices and shifts highlighted in this research are intended to inform and guide aftermarket service leaders, the line of business, C-suite executives, and the IT organization that supports the aftermarket team. This research provides a descriptive road map to help aftermarket service organizations achieve excellence. Excellence is not determined by a single metric or outcome achieved. Aftermarket service leaders need to balance multiple priorities addressing the needs of a varied group of internal and external stakeholders. This study highlights the complex challenges facing service leaders providing the details to prioritize which initiatives need to be prioritized and which to be avoided.

“Aftermarket service transformation is not just about technology adoption — it’s about orchestrating people, process, and innovation to deliver exceptional value at every customer touch point,” says Aly Pinder Jr., research vice president, Worldwide Aftermarket Services Strategies. “True aftermarket service transformation is not a quick fix — it’s a journey where to thrive organizations need to focus on orchestrating innovation, data, technology, and people.”

IDC PeerScape: Best Practices for Cultural Transformation in the Digital Era, 2026

Go Suzuki — Wed, 25 Mar 2026 04:00:00 GMT

This report organizes five essential practices for advancing cultural transformation, as DX in Japanese organizations remains focused on efficiency and management visions and DX strategies often fail to translate into frontline actions or become embedded in corporate or organizational culture. These practices do not exist in isolation but collectively shape an organization’s ability to drive cultural transformation. Drawing on examples from leading organizations, including interviews with three companies, the report highlights what organizations should prioritize and common pitfalls to avoid. It provides practical guidance for organizations to determine their next steps toward transforming corporate and organizational culture.

Go Suzuki, Research Manager, Tech Buyer at IDC Japan, states "Organizations responsible for digital and IT, along with their leaders and CIOs, must evolve beyond being support teams or facilitators to designing enterprise-wide cultural transformation and enabling frontline ownership."

This is the English translation of the Japanese document IDC #JPJ53021525.

IDC TechBrief: AI-Empowered New Hire Onboarding

Abhinav Shrivastava — Wed, 25 Mar 2026 04:00:00 GMT

This IDC TechBrief discusses the importance of AI-empowered new hire onboarding in the current era. AI-empowered new hire onboarding transforms fragmented, manual processes into personalized, automated experiences that accelerate productivity, reduce early attrition, and standardize quality across organizations. Leveraging AI for skill profiling, workflow automation, and engagement monitoring, these solutions integrate seamlessly with HR systems, enabling data-driven, adaptive onboarding journeys. Adoption is accelerating across industries, with measurable gains in efficiency and retention, but success depends on robust data integration, governance, and ongoing manager and HR engagement.

“AI-empowered onboarding solutions accelerate new hires’ time to productivity and help organizations improve employee retention,” said Abhinav Shrivastava, research manager, Talent Acquisition and Strategy, IDC. “Organizations that ignore this shift toward AI-empowered onboarding risk falling behind in the race for talent and engagement.”

In Search of IT: HR Partnering as a Data Orchestrator

Zachary Chertok — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Perspective discusses that AI transformation has a lot of potential to bend digital use cases to the individual behaviors that lead to successful outcomes for individual employees toward collective business objectives and key results. Behavioral modeling for collective performance outcomes is modernizing HCM beyond advanced and predictive analytics into probabilistic, multifactor insights generation. Despite AI's promise for personalized performance growth, AI use has led to rising data distrust for many organizations. Overcoming distrust and moving toward managed data unity and contextual insights drives towards an HR-IT partnership that rests on HR becoming more technically savvy to support IT's understanding of how to execute through process and insights design goals presented by HR and line-of-business stakeholders.

"AI is rapidly pressuring HCM stakeholders to understand more about how data quality and trust drive their future process and performance goals and outcomes," says Zachary Chertok, senior research manager, HCM Applications and Agents, IDC. "HR leaders must mature the growing HR-IT partnership to meet organizational goals for flexible and real-time workforce insights and context insertion into business performance models. The partnership calls on HR leaders to mature into data strategy orchestrators that guide IT teams through AI frameworks design. The frameworks, in turn, deliver seamless and real-time performance insights and growth guidance to the line of business while driving collective insights as context constraints into financial and operational planning.