AWS re:Invent 2025 - AI in Action: How Companies Unlock Global Value & Fuel Growth (GBL205)

AI Driving Business Transformation and Technical Innovation

Business Insights: AI Powering Revenue Growth

• 41% of companies have brought their AI projects into production, which is considered a disappointing number by industry standards
• The disconnect lies in the priorities of CEOs (revenue growth) vs. CIOs (productivity improvement) when it comes to AI investments
• Successful companies are focusing on using AI to drive new business models and revenue streams, not just internal productivity

Real-World Examples

• Hai Kaji, a smart camera manufacturer, used AWS Bedrock services to build agent-based features like child/pet monitoring and package delivery notifications, transitioning to a subscription-based business model
• Power AI, a Chinese startup, leveraged AWS to host models that provide instant meeting minute summaries and highlights, enhancing their hardware products with AI-powered services

Technical Trends: AI-Powered Software Development

• The evolution of human-machine interaction, from low-level programming to high-level coding languages to AI-generated code
• Chinese model providers are leading in AI coding benchmarks, indicating a growing trend of AI-powered programming
• The distinction between "agent" (AI assistant) and "agentic" (self-reflective, autonomous AI) is an important technical advancement

Agentic AI in Action

• Kira, Amazon's coding IDE, demonstrates the shift from code completion to self-correcting, self-improving AI agents
• Examples of 100% agentic applications include automated report generation (Manus, Genspark) with autonomous planning and task execution

Enterprise-Grade AI: Enabling Global Expansion

• AWS provides a global, consistent generative AI technical stack for infrastructure, model building, and solution assets
• Offerings include model fine-tuning, distillation, and edge deployment support, as well as partnerships with local experts like Deoid
• Deoid's "Nova" platform, built on AWS, enables enterprise-wide AI adoption with a focus on business value, compliance, and organizational transformation

Deoid's Nova Platform

• Identifies high-value AI use cases, selects appropriate large language models, and builds necessary capabilities (e.g., knowledge management, model management)
• Follows a "smiling curve" approach to manage expectations and ensure sustainable AI adoption and productivity gains
• Leverages AWS's world-class cloud infrastructure and agent capabilities to enable rapid development and scaling of AI applications

Key Takeaways

• Successful AI adoption requires aligning business priorities (revenue growth) with technical capabilities (agentic AI)
• Chinese companies are leading the way in AI-powered software development and IoT/edge AI solutions
• Enterprises need a comprehensive, compliant, and scalable approach to generative AI, enabled by global cloud platforms and local expertise