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.
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.
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 2025:
- Digital transformation is back in fashion
- GenAI upends pyramids, even as enterprises slow their AI roll
- Ecosystem intelligence becomes a strategic advantage
Explore TBR Digital Transformation Coverage
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Capgemini to Acquire WNS for $3.3B, Tripling BPO Revenue and Accelerating AI Ambitions
/by Jill CookinhamThe acquisition undoubtedly serves as an important stepping stone to transform Capgemini’s BPO offerings, which are housed in its Operations & Engineering segment, yet Capgemini must be strategic with its approach, balancing new clients’ expectations with the introduction of incremental GenAI and agentic AI capabilities. Capgemini’s recent investments in partner-enabled portfolio offerings position the company well for a large change in the segment, such as its new agentic AI offerings announced with Google Cloud in April and its NVIDIA NIM-powered industry-specific agentic AI solutions and agentic gallery.
AMD Lays Out its Road Map to Erode NVIDIA’s Dominance in the AI Data Center
/by Ben Carbonneau, Senior Data AnalystAMD’s Advancing AI 2025 event served as a testament, reaffirming the company’s open-ecosystem-driven and cost-competitive AI strategy while also highlighting how far the company’s AI hardware portfolio has come over the last few years. However, while AMD’s commitment to an open software ecosystem and open industry standards is a strong differentiator for the company, it is also a major risk as it makes AMD’s success dependent on the performance of partners and consortium members.