The AI landscape is evolving rapidly, and while generative AI has captured the world’s attention, an even more profound transformation is already taking shape: Agentic AI.
This new era moves beyond content generation, enabling specialized AI agents to act autonomously, make independent decisions, and even collaborate – all at a scale that will reshape industries and people's lives everywhere.
Our latest whitepaper, Ready Your Enterprise for Agentic AI, the Next Tech Evolution Beyond Generative AI, explores why Agentic AI is the next major technological shift, what it means for businesses, and how enterprises can build the right infrastructure to thrive in this new reality.
AI agents: The next enterprise imperative
According to industry analysts, enterprises that fail to embrace this shift risk falling behind as competitors leverage AI agents to enhance efficiency, improve customer experiences, and optimize operations.
- By 2028, AI agents will handle 15% of all enterprise decisions (Gartner)
- More than half of large enterprises plan to integrate AI agents in the next year (Capgemini)
Architecting agentic AI for speed, scale, and compliance
Scaling AI agents requires a different approach. Enterprises must rethink their architecture to support real-time, low-latency AI decision-making at scale. Our whitepaper details the critical infrastructure required to scale AI agents effectively, including:
- Moving inference to the edge: As AI agents proliferate, cloud-centric models will struggle to keep up with real-time, low-latency processing needs. Enterprises must deploy edge-based AI architectures to ensure performance and compliance.
- Embracing serverless AI inference: AI adoption is rapidly increasing, and traditional IT infrastructure cannot scale cost-effectively. Serverless inference enables organizations to run AI workloads on demand without expensive, resource-heavy hardware investments.
- Incorporating data sovereignty and AI governance: The rise of AI agents means organizations must manage proprietary data carefully, ensuring compliance while maximizing AI’s potential through retrieval-augmented generation and vector databases.
Download the full whitepaper to learn how your enterprises are architecting AI for real-time decision-making – and what steps you can take now.