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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PwC Positions Trust and Cybersecurity as Pillars for Success in AI and Business Transformation
/by Patrick Heffernan, Practice Manager and Principal AnalystPwC’s fundamental value proposition around trust and client intimacy reflects the firm’s strong governance, risk and compliance (GRC), cybersecurity and technology capabilities. TBR views risk and cybersecurity offerings as natural enablers for client discussions around business model reinvention and — when complemented by credible customer zero use cases across multiple domains, including AI — an extension of trust throughout a client’s ecosystem.
AI Buzz Sparks IT Infrastructure Shifts, but Privacy and Strategic Challenges Are Impacting Adoption
/by Ben Carbonneau, Senior Data AnalystThe industry enthusiasm surrounding AI has quickly led to shifts in organizations’ strategic priorities and expected investments such as demand for servers. Despite the hype, few organizations have operationalized GenAI to date. Instead, most are focused on overcoming initial barriers to adoption, including understanding the business implications of this new technology frontier.