With TBR’s Digital Transformation market and competitive intelligence research, gain insight into how technology and services firms are investing, going to market, partnering and more as they help enterprises transition to digital solutions.
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Learn how IT and business buyers approach digital applications, platforms and services within the context of disruptive market trends and emerging opportunities. Additionally, examine and dissect IT vendors’ ecosystem management as well as investments, performance and go-to-market strategies in both mature and emerging areas, including blockchain, Industrial IoT, analytics, customer experience and innovation centers, and cloud.
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A free trial of TBR’s Insights Center platform gives you access to our entire Digital Transformation research portfolio and the ability to customize and curate reports detailing our analysis based on your company’s specific needs. Start your free trial today!
Trends we’re watching in 2026:
- Customer experience becomes the battleground of AI for growth
- Data as the new (old) currency
- How vendor portfolio offerings evolve to avoid the GIGO (garbage-in-garbage-out) effect when on clients’ site
- Discretionary spend takes a new shape as IT buyers continue to shoulder more risk than the business, presenting an opportunity for vendors to deliver on service-level outcomes enabled by agents
Explore TBR Digital Transformation Coverage
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Benefits delivered through TBR Insight Centerâ„¢ include:
- Dynamic, configurable platform for TBR’s objective, independent and validated data and analysis
- Customizable views of millions of data points to match your specific needs
- Simple download functionality for customized views of analysis and feeds of data, saving staff dozens of hours per month
- Updates for market disruptions and emerging trends
- All data found in Insight Center can be leveraged to power your company’s AI tool via an API feed
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AMD Enters the Execution Phase of its Full-stack AI Strategy
/by Ben Carbonneau, Senior AnalystAdvancing AI 2026 showed that AMD has assembled the architecture and road map required to compete at rack scale. Helios connects the company’s GPUs, CPUs, networking and software into a system-level platform, while expanding partnerships with Microsoft, OpenAI, Anthropic and Meta provide credible paths to large deployments. ROCm.ai gives AMD a new way to reduce the engineering effort required to bring up and optimize applications on Instinct GPUs. Agentic workloads also expand the AI-driven opportunity for EPYC beyond its role as a host CPU for accelerators, allowing AMD to address the agent sandboxes, applications, databases and data services surrounding GPU inference.
Hidden Costs of AI Market Intelligence
/by Dan DemersThe enterprises that succeed will not be those that provide unrestricted AI access to every employee. The winners will build trusted intelligence architectures enabled with proprietary, non-public data and analysis that prevent organizations from paying thousands of times for the same expensive thought. The future of enterprise AI is not simply broader access. It is governed intelligence aligned to enterprise strategy, with CFO approved efficiency. And increasingly, that efficiency may prove more valuable than the AI models themselves.