【会议演讲PPT】Gartner+通过+AI+服务和解决方案实现业务价值-英-42页_1mb

Summary

Key Insights

Gartner provides actionable insights and guidance on AI services, highlighting that GenAI is rapidly growing, set to reach 42% of overall AI services revenue by 2027. The market opportunity includes areas like customer experience, knowledge management, and operational efficiency, with case studies showing significant cost savings and productivity gains. Challenges include skills gaps and data readiness.

Main Findings

• Use Cases: Top applications include content creation, GenAI, and classic AI for optimization tasks. Industries impacted: healthcare, manufacturing, retail, banking.
• Business Value: AI services deliver operational efficiency, enhanced customer experience, and reduced costs (e.g., 27% lower call handling time for airports, $2.1M cost savings for TCS).
• Future Trends: Focus on GenAI capabilities like custom LLMs, conversational AI, and ethical AI frameworks. Investments in new tech and data preparation are crucial.

Recommendations

• Establish an AI center of excellence and prioritize high-ROI use cases like knowledge management.
• Lead the AI services ecosystem through co-creation and partnerships.
• Emphasize responsible AI to enable scalable deployment.

Case Studies

• Airlines achieved a 450% increase in live chats and reduced call times.
• Energy companies used computer vision for leak detection with high ROI.
• Field technicians saw improved productivity through GenAI-infused tools.

Future Directions

Gartner advises continued investment in GenAI, new tech capabilities, and ethical AI to drive innovation and business value. Upcoming research covers topics like GenAI use cases and challenges in AI services.