Gannett's Strategic AI Content Licensing Agreement with Perplexity
Gannett announced a strategic licensing agreement with Perplexity, an AI-powered answer engine, which includes licensing fees and advertising revenue sharing.
This deal integrates USA TODAY's trusted journalism into Perplexity's AI search experiences, highlighting a focus on AI-driven content monetization.
The agreement exemplifies Gannett's leadership in embracing transformative AI technology while valuing quality journalism.
Early performance of the AI partnership has exceeded expectations, with plans to expand the beta to more users and increase engagement.
Bandwidth's investments in AI voice are translating into customer adoption, with new $1 million-plus multiyear deals.
Platforms like Maestro and AI Bridge are enabling enterprises to integrate AI voice into customer call flows.
Major clients in financial services, healthcare, and hospitality are leveraging these AI capabilities.
AI is not replacing voice but enriching it, potentially increasing revenue 3x to 4x per call through added services like transcription, fraud detection, and orchestration.
Every new enterprise win this quarter included Maestro, emphasizing its role as a core differentiator and revenue driver.
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.
LiveRamp's Data Collaboration Network and Sales Momentum
LiveRamp's data collaboration network is experiencing strong sales momentum, with above-average pipeline conversion, shorter sales cycles, and larger deal sizes in Q1.
The momentum is driven by solutions like Cross-Media Intelligence, Commerce Media Networks, and CTV, which are gaining traction among high-profile customers.
Cross-Media Intelligence, launched in Q1, is surpassing expectations by connecting ecosystem participants with privacy-preserving data sharing and interoperability across cloud environments.
Commerce Media Networks remain a key growth driver, with clients like Walgreens and a leading U.S. department store leveraging the technology for ad personalization and insights.
Partnerships with airlines, casinos, automotive, and real estate sectors are expanding, with a focus on establishing more industry-specific networks.
The momentum is validated by independent reports from Forrester and IDC, highlighting ROI and leadership in data clean room technology.
DXC's Strategic Focus on AI and Generative AI Leadership Recognition
DXC is investing in talent, training over 50,000 GenAI-enabled engineers, and achieving AI readiness across 92% of technical teams.
Recognized by Gartner as an Emerging Leader in the Generative AI Market Quadrant, reflecting strong AI capabilities and strategic vision.
AI is integrated into core business processes, customer interactions, and internal operations, with examples including document automation, virtual assistance, and security threat intelligence.
AI solutions are seen as additive, not disruptive, with a focus on scalable, highly replicable frameworks that leverage industry knowledge and data readiness.
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.