Entries by Bozhidar Hristov, Principal Analyst

Infosys Readies to Deliver Outcomes at Scale Through AI

Analyst Event Recap: Infosys hosted industry analysts and advisors for U.S. Analyst and Advisor Meet 2025 in March. Using client stories amplified through technology partner support to reinforce Infosys’ role in the IT services, cloud and AI market, company executives consistently returned to a few main themes, including delivering business outcomes, maintaining trusted relationships, and focusing on speed, agility and simplification.  

Informatica’s Alliance Strategy: Powering GSIs, Scaling AI and Strengthening the Data Ecosystem

An increasing amount of research and analysis time at TBR is focused on ecosystem intelligence, which applies a set of questions and frameworks to extend traditional market intelligence and competitive intelligence approaches in an effort to better understand a market. Recently, TBR analysts spoke with Informatica’s Richard Ganley, Senior Vice President, Global Partners, and his insights into the actions the company is taking to enhance its alliance relationships with nine key partners stood out to the team.

KPMG Shifts Focus to Legal Services and AI-driven Strategy Consulting 

Earlier in January news reports surfaced that a subsidiary of KPMG, KPMG Law US, had applied to operate in Arizona under a state program allowing nonlawyers to operate law firms and provide legal services in the state. KPMG is leaning toward legal services and AI-infused strategy consulting offerings to bolster sales as the firm navigates choppy market conditions within core deal advisory.

Infosys’ Future: Scaling GenAI and SLM Innovation to Drive Growth and Stakeholder Trust

Developing a client-ready AI-first portfolio is not a strategy unique to Infosys, but keeping pace with the rapidly evolving generative AI (GenAI) market highlights the company’s appetite for innovation and helps it strengthen stakeholder trust. Over the past 24 months, a large portion of vendor-client discussions focused on experimenting with developing and running large language models (LLMs), often fed with either public or nonessential data. Growing adoption of the technology has introduced the need for developing SLMs that are either function or industry specific.

PwC Positions Trust and Cybersecurity as Pillars for Success in AI and Business Transformation

PwC’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.

Digital Transformation Outlook: Strategy Rebound, GenAI Impact and Ecosystems Importance in 2025

Learn why strategy consulting will rebound in 2025, and which consultancies will benefit; how GenAI-enabled solutions will upend organizational structures and business models for IT services and consultancies, even as enterprise adoption of GenAI slows; and how the emergence of ecosystem intelligence as a strategic priority will impact IT services companies, consultancies and technology alliance partners

Navigating GenAI: Insights, Strategies and Opportunities for 2025

Learn how GenAI is impacting buyer-vendor relationships and what is next in the evolution of their business models; how tech and services companies are using alliances to extend their reach within enterprises and across the larger GenAI — and emerging tech — ecosystem; and which consultancies, IT services vendors, cloud and software companies, and infrastructure players are best positioned for the next wave of GenAI adoption

GenAI in 2025: Revolutionizing Agencies and Reshaping Ecosystems

after two years of GenAI disruption, a clear trend is emerging across the ecosystem: strategic partnering is becoming essential. Companies such as McKinsey & Co, Wipro, Dell Technologies, Amazon Web Services (AWS) and NVIDIA are adopting this approach, recognizing that no single organization can deliver comprehensive GenAI-enabled solutions alone. Instead, success increasingly depends on leveraging the technology and expertise of ecosystem partners.