rssitbuyer

AI Inference Infrastructure Optimization Demands Token Economics–Driven Decision-Making

Fri, 26 Jun 2026 04:00:00 GMT

This IDC Perspective shares an overview of how, as enterprises scale AI from experimentation to production, the explosive growth of inference workloads and agentic AI pipelines is making token cost management a board-level financial priority. Token economics (aka “Tokenomics”), the discipline of measuring, governing, and optimizing the full cost of AI token production and consumption, is emerging as the essential framework for every AI infrastructure, architectural, and purchasing decision.

IDC recommends that technology buyers build a full-stack token cost model capturing all infrastructure layers, including compute, storage, networking, power, cooling, and datacenter facilities, when comparing on-premises/dedicated versus cloud-based AI infrastructure options. “Enterprises need to reframe AI infrastructure decisions around token economics to accurately represent the true cost and benefits of AI infrastructure investments at scale,” explains Mary Johnston Turner, IDC research vice president, AI Infrastructure Strategies.

AWS Summit New York 2026: Amazon Doubles Down on Agentic AI with Quick, AgentCore, and Kiro

Nina Turner, Jeff Janukowicz, Heather West, PhD — Fri, 26 Jun 2026 04:00:00 GMT

At the AWS Summit New York on June 17, 2026, AWS VP of Agentic AI Swami Sivasubramanian unveiled a comprehensive suite of agentic AI capabilities centered on three platforms: Amazon Quick, Amazon Bedrock AgentCore, and Kiro. The announcements mark an expansion in AWS’s strategy from custom silicon to cloud infrastructure to full-stack agentic solutions, positioning AWS to compete directly with Microsoft 365 Copilot and Google Workspace AI in enterprise productivity while reinforcing its platform lead for developers building production-grade agent workloads. The Summit also featured an expanded strategic collaboration with QuEra Computing, targeting fault-tolerant quantum computing availability on Amazon Braket by 2028 and signaling that AWS's platform ambitions extend beyond software to foundational compute modalities.

Databricks' Data + AI Summit 2026: Expanding into the Application Platform Market

Matthew Flug — Fri, 26 Jun 2026 04:00:00 GMT

At its annual Data + AI Summit, Databricks advanced a strategy to extend from the company's data management foundation into the application platform and agent development, deployment, and governance layers, anchored by Databricks Apps, Unity Catalog, Unity AI Gateway, Agent Bricks, and the unification of transactional and analytical data through Lake Transactional/Analytical Processing (LTAP). The announcements position the company to compete for agentic application workloads on the strength of governed access to enterprise data as it continues to mature its offerings relative to established application platform providers.

From Pilot to Practice: Navigating Agentic AI Adoption in Enterprise Software Development

Adam Resnick — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines how enterprises can move agentic AI adoption in software development from pilot to sustained production use. Drawing on IDC surveys and independent analyst research, the presentation maps a five-stage maturity curve spanning traditional development through autonomous software engineering and diagnoses the organizational challenges that determine whether adoption advances or stalls. The presentation addresses the full range of adoption barriers, including token spend governance, uneven internal adoption, developer resistance, role shift, measurement design, security, and incentive structure, and frames each as an organizational problem requiring deliberate investment rather than a technological problem that tools will resolve over time. Organizations that build champion networks, centers of excellence, measurement infrastructure, and accountability norms alongside their tooling will reach higher maturity stages with fewer disruptions and compounding rather than diminishing returns.

IDC PlanScape: Process Improvement

Karen D. Schwartz, Giulia Carosella, Mickey North Rizza, Neil Ward-Dutton — Fri, 26 Jun 2026 04:00:00 GMT

This IDC PlanScape discusses process improvement.

“Twenty years ago, process rationalization and improvement were very labor-intensive, error-prone, lengthy processes, and as a result, people often ended up without making any real changes,” says Karen D. Schwartz, adjunct research analyst with IDC’s IT Executive Programs (IEP). “Today we have the knowledge and technology to understand what needs to be done and effect real, meaningful, lasting change.”

IDC PlanScape: Software Asset Management

Snow Tempest, Jevin Jensen, Mickey North Rizza — Fri, 26 Jun 2026 04:00:00 GMT

This IDC PlanScape outlines best practices for software asset management, emphasizing cost control, risk reduction, cross-functional benefits, governance, tool selection, and audit preparedness to optimize software investments and support automation and AI initiatives.

“Effective software asset management can help organizations control costs, improve security, and establish accurate data for automation and AI,” says Snow Tempest, research manager, IT Service Management at IDC.

IDC TechScape: Worldwide Healthcare AI Control Plane and Orchestration Technologies, 2026

Mutaz Shegewi — Fri, 26 Jun 2026 04:00:00 GMT

This IDC TechScape provides a structured framework for healthcare leaders to evaluate, select, and operationalize AI control plane and orchestration technologies. It analyzes transformational, incremental, and opportunistic solutions that enable scalable, governed, and workflow-integrated AI adoption across healthcare enterprises. The study highlights market trends, adoption maturity, risk profiles, and vendor landscapes, guiding organizations to balance innovation with governance, trust, and safety as they transition from isolated AI pilots to enterprise-scale AI deployment and operationalization.

“The future of healthcare AI will depend less on all things standalone and more on the ability to orchestrate, govern, and operationalize intelligent systems at enterprise scale,” says Mutaz Shegewi, senior research director, IDC Health Insights. “Healthcare AI is shifting from isolated to coordinated intelligence, where the real differentiator becomes the enterprise layer that integrates AI across clinical, operational, and administrative workflows.”

No-Code and Agentic AI EHR Workflows: Customization Moves Closer to the Point of Care

Mutaz Shegewi — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Perspective discusses how the structural gap between EHR configuration and care delivery reality has become a market opportunity. Vendors are competing to close this gap, like EHR-native builders, healthcare automation platforms, orchestration tools, patient engagement workflow engines, and interoperability infrastructure. Each solves a different problem and requires a different governance posture. Smaller provider organizations stand to benefit most from this democratization of customization, but the benefit is not automatic. Organizations that deploy these tools without governance frameworks, life-cycle ownership, and code-level review for AI-generated logic are exchanging one form of operational fragility for a faster, harder-to-audit version. Organizations that gain a sustainable advantage will be those that treat workflow automation as operating model infrastructure and govern it accordingly.

“When AI can build your EHR workflows in minutes, the real risk isn’t technical failure; it’s unleashing change before governance is ready. Will these provider organizations lead the next era of care or be outpaced by their own automation?” asks Mutaz Shegewi, senior research director, IDC Health Insights.

Regional and Local AI: Moving Fast, Scaling Deliberately

Alison Brooks, Ph.D., Ruthbea Yesner — Fri, 26 Jun 2026 04:00:00 GMT

This IDC presentation analyzes how U.S. regional and local governments are moving AI from pilot to production. The study draws on an IDC survey of 383 senior IT and non–IT leaders across state agencies, counties, and municipalities, combined with analysis of publicly disclosed AI use cases from state CIO offices, NASCIO reporting, and municipal AI inventories.

The findings show AI adoption accelerating across regional and local government, with use cases spanning IT operations, cybersecurity, constituent services, permitting and licensing, public safety, health and human services, and back-office administration. As AI line items grow in regional and local budgets, IT leaders are under rising pressure to demonstrate faster time to value and measurable ROI to elected officials and oversight bodies.

Server OEM Responses to the Global Memory Shortage

Dr. William Lee, Chris Drake, Kuba Stolarski, Leon Kao — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Perspective examines how leading server OEMs are responding to the global memory supply crisis that emerged in late 2025. It focuses on the strategies being pursued by Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro in response to tightening supply and rising prices across DDR4, DDR5, and HBM. Vendor responses have been diverse, ranging from price increases and revised sales contract terms to supply chain interventions, component allocation strategies, and efforts to accelerate customer transitions to newer memory platforms.

“The current memory supply squeeze is expected to last until at least the end of 2026, and it is likely that DDR4 memory prices will not return to precrisis levels,” says Dr. William Lee, senior research director, Compute and Service Provider Infrastructure at IDC. “IT buyers should consider a range of responses, including leveraging consumption-based or ‘as a service’ contracts, locking-in multiyear supply agreements, extending the life of installed servers, and migrating to DDR5-based platforms.”