2024年制造业前瞻：AI赋能制造业与运营创新加速
AI智能总结AI in Operations: The Benefits and Challenges
Benefits of AI in Operations
- R&D: Conventional and generative AI applications can reduce product development times by up to 60%, significantly boosting R&D output.
- Procurement: GenAI-powered procurement can achieve up to 50% improved FTE efficiency and four times faster procurement processes, thanks to improved supplier market screening, parallelized supplier negotiations, and faster contract authoring.
Challenges in AI Adoption
- Proving Business Value: Companies struggle to demonstrate the tangible benefits of AI.
- Infrastructure: Insufficient infrastructure hinders the adoption of AI.
- Skilled Talent: Shortage of skilled AI professionals poses a significant barrier.
Key Success Factors for AI in Operations
- Develop a Clear AI Roadmap: Include explicit objectives, executive sponsorship, and a clear organizational change process.
- Technical Foundation: Ensure data security while enabling accessibility and rapid scaling of solutions.
- Modular Platforms: Simplify scaling, adaptability to future products, and maintenance.
- Off-the-Shelf Technology: Leverage existing solutions and adopt a "fail fast" approach.
- Democratize Digitalization: Enable specialists across different levels to convert domain knowledge into intelligent solutions.
- Empower Workforces: Implement AI-based solutions to address labor shortages.
- Disrupt Value Creation: Utilize AI-generated insights to improve core offerings, maintain installed bases, and create new products.
Supporting AI in Operations
- Roland Berger and Microsoft: Provide strategic digitalization support through RB N3XT, a dedicated team of specialists.
- Microsoft: Offers a broad set of modular offerings, including Copilot (a generative AI work companion) and Azure OpenAI Service for building custom AI assistants and accelerating time-to-value.
Future Implications of AI
- NVIDIA's Perspective: AI is poised to revolutionize various aspects of operations, from supply chain management to production management, with significant potential for disruption and efficiency gains.
Conclusion Companies must navigate the challenges of AI adoption by following a structured approach and leveraging the right tools and strategies. By doing so, they can unlock the full potential of AI in operations and stay competitive in a rapidly changing business landscape.
