Capgemini

Almost two-thirds of India’s sprawling forests are now under threat from invasive species. One of the most harmful is a plant with clusters of pretty flowers and lush foliage: Lantana camara. The plant accounts for 40 percent of the spread of invasive species in India, and is now one of the most widespread weeds. “It might look harmless,” says Avinash S, a project lead based in Chennai, “but lantana is choking native plants that are a food source for herbivores.

Programs underdeliver, escalations increase, and customers encounter the same operational issues, only faster and at greater scale. The challenge is not the technology itself, but the operation beneath it. Our Operational Readiness for AI point of view responds to the challenges preventing organizations from realizing the full value of AI, including: • Tribal knowledge that cannot be reliably leveraged by AI • Performance metrics that prioritize speed and deflection over resolution.

This Point of View explores why speed alone is not enough in the age of AI and agentic systems, and why the long-term success of enterprise transformation depends on combining AI innovation with platform-driven governance and orchestration. Drawing on industry research, analyst insights, and Capgemini’s experience delivering large-scale transformation programs, the paper examines the rise of vibe coding, agentic AI, and enterprise AI platforms.

Capgemini has been positioned by Everest Group as a Leader in the 2026 Product Lifecycle Management (PLM) Services PEAK Matrix® Assessment. This recognition reinforces Capgemini’s position as a trusted transformation partner helping enterprises modernize product lifecycle processes, accelerate product innovation, and create connected digital enterprises across engineering, manufacturing, and service operations.

Turning Project Perception’s north star into a continuous vigilance model for exposure management and cyber resilience As organizations face increasingly dynamic attack surfaces and AI-powered threats, security teams are under pressure to move faster from identifying exposure to reducing risk.

Lila is Partner, Head of AI Strategy at NEA, a global venture capital firm investing across multiple stages, sectors, and geographies. She most recently served as Deputy CTO at Microsoft, driving large-scale AI transformation. Previously, Lila was SVP Engie, CEO and Vice Chair Terrawatt at Engie where she led the company’s transition to new energy sources and new technologies.

Almost two-thirds of India’s sprawling forests are now under threat from invasive species. One of the most harmful is a plant with clusters of pretty flowers and lush foliage: Lantana camara. The plant accounts for 40 percent of the spread of invasive species in India, and is now one of the most widespread weeds. “It might look harmless,” says Avinash S, a project lead based in Chennai, “but lantana is choking native plants that are a food source for herbivores.

Quantum computing is reshaping the cybersecurity landscape and challenging the cryptographic foundations of today’s digital economy. Public‑key encryption underpins identity, payments, cloud, applications, and data exchange. Much of it was not designed to withstand a quantum‑capable adversary. With “harvest now, decrypt later,” sensitive data captured today can be exposed tomorrow.

As we hit a new phase of ISO 20022 adoption, the focus is shifting: what was once a checkbox compliance exercise is now driving meaningful, compliance-led business transformation. From compliance to transformation: The real journey begins ISO 20022 Phase 1 focused on translation – enabling coexistence between Message Type (MT) and MX formats, and ensuring operational continuity. Phase 2 shifts to harmonization, value realization, transformation, and operational optimization.

As corporate client expectations evolve and regulatory complexity increases, banks are under mounting pressure to redefine themselves. The next era of banking belongs to institutions that are intelligent, connected, and trusted – those capable of adapting rapidly and driving AI outcomes at scale. Corporate clients expect real-time services, personalized engagement, and seamless experiences, while regulators demand greater transparency and resilience.