Title

AWS re:Invent 2023 - How Siemens & Petco drive enterprise transformation with data & AI (ANT105)

Summary

• Adam Kaufman from Snowflake leads the session, discussing enterprise transformation with data and AI.
• Snowflake won AWS Partner of the Year for data and analytics.
• Siemens and Petco executives share their experiences with data transformation.
• Snowflake's mission is to mobilize the world's data, breaking down silos and enabling secure access and collaboration.
• Snowflake launched seven industry-specific data clouds.
• Generative AI and large language models are emerging trends that can revolutionize businesses.
• Snowflake enables new insights, enhances business productivity, and ensures data governance.
• Snowflake Data Cloud supports critical data workloads and drives seamless collaboration.
• Partners extend the Snowflake Data Cloud with applications, data, and solutions.
• Christian from Siemens and Yush from Petco discuss their organizations and roles.
• Both companies migrated from on-prem to Snowflake, seeing benefits in data accessibility, efficiency, and scalability.
• They faced challenges with cost optimization and API performance but found solutions through best practices and Snowflake's support.
• Siemens and Petco use traditional ML and AI for various business applications and are exploring generative AI for future use cases.
• Both companies are looking to enhance data sharing, monetization, and performance monitoring.
• Change management was crucial for both organizations, requiring training, communication, and new workflows.

Insights

• Data Silos and Technical Debt: Both Siemens and Petco faced challenges with data silos and technical debt due to mergers and acquisitions, which Snowflake helped to address.
• Cost Optimization: Both companies had to focus on cost optimization after migrating to Snowflake, using strategies like warehouse splitting, workload optimization, and real-time dashboards.
• Data Sharing and Monetization: Petco and Siemens are looking to leverage Snowflake's data sharing capabilities, including clean rooms, to share data securely without exposing PII.
• Generative AI: Both companies are in the early stages of exploring generative AI for enhancing customer experiences, automating content creation, and conducting market research.
• Change Management: The transition to Snowflake required significant change management efforts, including training for technical and business teams, communication strategies, and the adoption of new tools and practices.
• Collaboration and Ecosystem: Siemens and Petco emphasize the importance of collaboration within their organizations and with external partners, facilitated by Snowflake's data sharing features.
• Industry-Specific Clouds: Snowflake's industry-specific data clouds provide tailored solutions, partners, and applications, which is a strategic move to cater to different verticals.
• Machine Learning and AI: Both companies have successfully deployed traditional ML and AI models for business applications like customer lifetime value, churn prediction, and targeted promotions.
• Future of Data Work: The future of data work in these enterprises includes creating data products, internal and external data marketplaces, and leveraging AI for productivity and new revenue streams.