Quote from bsdinsight on 29 April 2025, 15:53

Microsoft released AI Decision Brief providing insights from Microsoft and AI leaders on how organizations can navigate the generative AI platform shift.

 

Current State of Generative AI

Generative AI represents a fundamental technological paradigm shift that is transforming productivity across industries. Unlike previous tech shifts, AI capabilities are doubling approximately every six months, compared to Moore’s Law’s two-year cycle for computing power. Enterprise adoption has jumped from 55% in 2023 to 75% in 2024.

 

Five Stages of AI Readiness

1. Exploring: Educating and experimenting with generative AI
2. Planning: Defining strategy and running proofs of concept
3. Implementing: Moving from pilots to production
4. Scaling: Deploying across the organization
5. Realizing: Achieving repeatable, measurable value

 

Five Drivers of AI Value

Microsoft identifies five key drivers that help organizations accelerate their AI journey:

1. Business Strategy: Aligning AI adoption with business goals
2. Technology and Data Strategy: Ensuring access to quality data and infrastructure
3. AI Strategy and Experience: Building expertise through hiring and skilling
4. Organization and Culture: Managing change and encouraging AI adoption
5. AI Governance: Developing policies that embrace Trustworthy AI

 

Common Adoption Challenges

– Identifying where to start amid limitless possibilities

– Overcoming AI skill shortages (45% cite this as their top challenge)

– Addressing security concerns and data governance

– Navigating evolving regulations and compliance requirements

– Managing organizational change effectively

 

Future Potential of Generative AI

– AI-native startups are focused on augmenting human capabilities, redefining management, and reimagining industries

– Software development companies are empowering teams, shortening product cycles, and democratizing industry expertise

– Co-innovation labs are identifying best practices, improving customer experiences, and demonstrating ROI

– Research organizations are innovating with models, addressing global issues, and perfecting human-AI interaction

 

Microsoft emphasizes three trusted platforms for the AI age:

– Copilot: A user interface for AI that organizes work

– Copilot and AI stack: Tools for building custom AI solutions

– Copilot devices: A new class of devices designed for distributed AI

 

Advancing Generative AI in Organizations

Brief outlines best practices for implementing AI at scale:

– Define your AI strategy and direction

– Target a top business challenge or opportunity

– Establish AI readiness and governance

 

Deploy AI to scale

An AI Center of Excellence (AI CoE) is recommended as a dedicated cross-functional team to drive AI initiatives, centralize resources, and manage adoption strategy.