Unleash the limitless potential of AI at scale and deliver measurable business impact
A recent study by Capgemini Research found that 95% of organizations see zero return on their Gen AI investments. Developing a proof of concept is easy, but developing enterprise-grade Gen AI and agent AI is a challenge. The difference between success and failure seems to be based on approach.
Research on the rise of agent AI shows that organizations want to rapidly deploy custom AI development, but only 2% are deploying AI agents at scale. Finding the right combination of trust, understanding, technology, and collaboration is the roadmap to connecting humans and AI agents to ensure the success of hybrid teams. This is difficult because technology is rapidly evolving, but businesses can leverage Google Cloud and the best innovations to successfully implement agent-based AI.
Capgemini’s RAISE, powered by Google Cloud, is the enterprise infrastructure you need to operate generative AI at scale, manage agent behavior across business units, accelerate transformation with pre-built and reusable assets, and control cost and risk in production.
Capgemini’s RAISE and Google Cloud combine the agent AI experiences of two industry leaders to enable the industrialization of custom agent AI projects and deliver more reliable and tangible results. We provide an efficient, interoperable, modular, and scalable agent AI development accelerator to navigate and adjust in rapidly changing environments.
RAISE with Google Cloud provides customized modules that complement Google’s native services and increase the value of the platform. Leverage native services such as Vertex AI, Google Cloud Data Loss Prevention (DLP), Google Cloud Run, and Google Cloud Virtual Machine (VM). These modules make it easy to develop reusable Gen AI use cases, enabling efficiency and security while ensuring governance by incorporating guardrails.
Capgemini RAISE, powered by Google Cloud, is a business enablement layer that wraps Google’s technology capabilities with the governance, orchestration, and industrialization that enterprise clients need to solve real-world obstacles in complex, regulated environments. This is generative and agent AI that can be operationalized at scale to accelerate time-to-value with reliability and confidence.
Two transformation leaders explore how a human-centered approach and collaboration between humans and AI can enable transformation and deliver value.
