Insight's Recognition as a Visionary in Generative AI Consulting by Gartner
Insight was named a visionary in Gartner's inaugural innovation guide for generative AI consulting and implementation services, highlighting its emerging strength as an AI-first solutions integrator.
This recognition underscores the company's innovation-first mindset and strategic focus on AI, positioning it as a leader in the rapidly evolving generative AI space.
AI Governance and Agentic AI Capabilities Expansion
AvePoint expanded its Agentic AI governance capabilities to secure AI agents like Microsoft 365 Copilot, including prompt tracking, access controls, and policy enforcement, driven by customer needs for large-scale Copilot rollouts.
The company is working closely with major clients to mitigate oversharing and compliance risks associated with AI-generated content, positioning itself as a leader in AI governance.
Management highlighted that AI-related governance is a key growth area, with the potential for continued expansion as AI adoption accelerates across enterprises.
TJ Jiang emphasized that AI governance is still in early stages, with up to 80% of companies deploying some form of AI, indicating significant growth potential in this space.
EPAM's Strategic Focus on AI-Native Transformation
EPAM emphasizes its positioning as an AI-native transformation company, with double-digit growth in AI-native revenue, driven by high client adoption of AI initiatives beyond experimental phases.
The company has developed proprietary platforms like DIAL and AI/RUN, enabling clients to deploy AI at scale without proprietary lock-in, fostering enterprise-wide AI integration.
Management highlights that AI embedding increases complexity, driving demand for their end-to-end AI-optimized execution, organizational enablement, and transformational services.
Cognizant's Strategic Focus on AI and Agentic AI as a Double Engine Transformation
Cognizant emphasizes AI-led opportunities as a core strategic focus, describing AI as a 'double engine transformation' for clients in productivity and innovation.
The company has laid out a 3-Vector AI strategy: hyper-productivity (Vector 1), industrializing AI (Vector 2), and agentifying the enterprise (Vector 3).
In Q2, AI projects in experimentation have gained momentum, with over 2,500 early GenAI client engagements, up from 1,400 in Q1.
Cognizant's AI research labs have accelerated the industrialization of agent-based systems, backed by 59 U.S. patents.
The company is actively helping clients scale AI adoption, with 97% of a key client base adopting AI, and 56% scaling GenAI.
Strategic initiatives include launching Cognizant Agent Foundry, Vibe Coding Week, and Cognizant AI Training Data Services, to embed AI into enterprise workflows and software development.
Management emphasizes that AI is transforming enterprise landscapes, with a focus on building IP on the edge, including small language models and tooling for AI deployment.
Atlassian's AI-Driven Product Innovation and Momentum
Management emphasized the significant role of AI in product development, with over 2.3 million AI now users, up 50% from last quarter, indicating rapid adoption.
The launch of Team '25 and the Teamwork Collection has exceeded expectations, with major enterprise customers consolidating onto Atlassian's platform due to AI integration.
AI features are embedded at the core of Atlassian's platform, such as Rovo Dev CLI and GPT-5 collaborations, driving increased user engagement and collaboration.
Management highlighted ongoing R&D investments, including partnerships with OpenAI and Anthropic, to enhance AI capabilities and maintain competitive advantage.
Statistical evidence shows AI-driven features increase content creation and edits, e.g., 15% more pages created and 33% more edits in Confluence, demonstrating tangible productivity gains.