The Enterprise AI Blueprint
A strategic implementation guide
The Enterprise AI Blueprint: A Strategic Implementation Guide
PART I: Foundation and Infrastructure
Part II: Governance & Risk Management
Part III: Building the intelligent enterprise
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Josh Builta, Senior Director, Enterprise Platforms & Applications
AI continues to rapidly transform our daily lives, reshaping industries, economies and societies at remarkable speed. Accelerated by exponential increases in computing power, vast improvements in algorithmic efficiency, and widespread data availability, of AI adoption is now a fundamental component of global business strategy. Organizations are no longer debating whether to integrate AI; instead, they’re focused on how quickly they can implement and scale it to secure a competitive edge. Yet despite recent rapid advancements, it is important to remember this marks only the beginning. In the coming years, AI will play a growing role in addressing complex challenges – from increasing the resiliency of supply chains to driving sustainability and efficiency across industries.
Future AI-driven innovation will be shaped by breakthroughs such as agentic AI, a new generation of AI systems capable of autonomous decision-making, goal-oriented action with minimal human intervention. Unlike conventional systems that respond to specific inputs with predetermined outputs, agentic AI represents a fundamental evolution, enabling entirely new applications and possibilities to use across industries. The availability of more powerful AI capabilities at the edge is another significant evolution in the market. This trend is driving the convergence of AI and the Internet of Things (IoT) - an architectural shift that will enable new IoT use cases and deliver transformative benefits. By empowering real-time decision making, enhancing security, and strengthening operational resiliency, AI at the edge is poised to unlock new possibilities and substantial value.
In this e-book, Omdia experts share actionable insights and practical research to help you address today’s most critical AI-related challenges:
Foundation and infrastructure: Addressing the AI and data storage challenges
Governance and risk management: Sovereign AI and reducing organizational risk
Building the intelligent enterprise: Workplace implementation and guidance
