Akamai's Cloud Infrastructure Services Portfolio and AI Market Opportunities
Akamai's cloud infrastructure services (CIS) revenue in Q2 was $71 million, growing at 30% year-over-year, driven by AI application deployments.
Management highlighted the strategic focus on AI-related solutions like Edge Workers and Linode-based compute and storage solutions.
The company introduced an AI gateway to address latency, security, and cost challenges of deploying large language models at scale.
AI gateway enables processing requests closer to users at the edge, improving speed, energy efficiency, and user experience.
Akamai's platform spans over 4,300 points of presence globally, supporting AI applications such as image classification, speech-to-text, chatbots, and inference engines.
Management emphasized the synergy between cloud computing, security, and delivery lines, with large contracts signed for AI-driven applications.
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.
Expansion of Exposure Management Platform and AI Integration Post-Apex Acquisition
Tenable's exposure management platform, Tenable One, now accounts for 40% of total new sales, with a focus on unifying visibility, insight, and action.
The recent acquisition of Apex Security, closed on June 6, enhances AI-aware and AI security posture management capabilities, securing the rapidly expanding AI attack surface.
AI integration is a strategic focus, with Apex's capabilities accelerating AI security, including monitoring AI prompts, vulnerabilities, and data configurations.
Management emphasizes embedding AI into the platform for comprehensive AI security, with early signs of strong customer demand and pipeline growth.
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 Integration for User Experience and Operational Efficiency
DoorDash's engineering team is actively exploring large AI models to enhance search, recommendation systems, and personalization, aiming to improve user experience.
Management sees AI as a transformative technology that can reimagine product design, onboarding processes, and physical operations, with pragmatic benefits expected in the next 6-12 months.
AI is also being used to automate repetitive physical activities like inventory management and menu creation, increasing quality and fidelity.
Large language models are improving internal productivity, especially in coding, and are expected to be adopted across various functions to build a more efficient organization.
DoorDash's early recognition of AI's potential, similar to cloud computing's impact in 2013, positions it to leverage AI for both customer engagement and operational cost savings.
IBM's Strategic Focus on Hybrid Cloud and AI Reinforcement Elements
IBM's strategy remains centered on hybrid cloud and artificial intelligence, built on five reinforcing elements: client trust, open platforms, innovation, domain expertise, and a broad ecosystem.
This strategy is a flywheel for growth, demonstrated by strong momentum in software, infrastructure, and AI offerings.
Dafinchi