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.
AI Compute as the Primary Growth Driver in 2H 2025
Demand in AI compute, especially in SOC and Memory, is strengthening and expected to be the dominant driver of Teradyne's semi test business in the second half of 2025.
The company sees broadening opportunities, with UltraFLEXplus systems gaining consideration in new areas.
Management is optimistic about new program ramps and test insertions, despite lumpy order patterns.
AI-First Business Transformation and Client Impact
Grid Dynamics is aligning its entire business around an AI-first approach, infusing AI into go-to-market, service offerings, delivery, and talent management.
AI and Data contributed 23% to overall organic growth in H1 2025, growing nearly 3x faster than the overall business.
Clients are increasingly seeking AI-native partners to lead enterprise AI adoption, with measurable impacts such as over 5% conversion improvements from conversational commerce.
Gartner emphasizes AI as the highest demand area, with rollout of AskGartner, an AI-powered insights tool, expected to be completed for all licensed users by year-end.
AI is also used internally, with over 50 applications to improve associate productivity and effectiveness.
Management views AI as a key to reaccelerating growth and improving operational efficiency, with early promising results but long-term impact still uncertain.
The number of AI native customers is growing significantly, with over a dozen spending over $1 million annually and more than 80 spending over $100,000.
AI native cohort contributed 10 points of YoY revenue growth in Q2, up from 6 points last quarter and 2 points a year ago.
Management views AI as a long-term secular growth driver, with hundreds of customers in this cohort and rising interest in next-gen AI observability and analysis.
The company sees AI as a tailwind due to increased cloud consumption and is expanding AI integrations, GPU monitoring, LLM observability, and AI agent monitoring.
Datadog launched Bits AI security and noise, fully autonomous AI agents, and AI voice incident response, emphasizing their focus on AI-driven automation.
Management expects AI to introduce new complexity and observability challenges, which their products aim to address, including GPU and LLM monitoring.
The growth in AI native customers is seen as an indicator of broader AI adoption across industries, with the company preparing for a future where AI workloads are more prevalent.