EBOOK
Secrets of Gen AI Success
How leaders like Bayer and Siemens Energy use generative AI to increase revenue, improve productivity and better serve customers
The AI Reality Check
Despite the soaring promises of AI over the past few years, Harvard Business Review reports that up to 80% of AI projects fail to make it into production.
Though many organizations are finding gen AI’s biggest promises to be more aspiration than reality, some businesses are overcoming common obstacles to unleash the potential of AI. These leaders are lowering the AI barrier to entry by building on an already robust data foundation that manages costs, reduces operational burden, and helps them stay agile to meet evolving needs.
And they’re achieving these goals — and more — with Snowflake’s versatile, powerful platform that makes AI easy, efficient and trusted.
80%
80% of AI projects fail to make it into production
Source: Harvard Business Review
“With Snowflake, I can empower smart people to bring AI to life in one place, even if they’re not tech experts. Cortex AI is a one-stop shop. It scales, it’s easy, and the data stays 100% in Snowflake’s secure environment."
Thomas Bodenski
Real-World Examples of Enterprise AI Success
Organizations of all sizes and industries are turning to Snowflake’s unified AI and data platform to make their generative AI goals a reality. By tapping into the power of Snowflake Cortex AI, these organizations are developing generative AI applications that capture tangible value.
TS Imagine saves over 4,000 hours of manual effort a year while cutting costs by nearly a third.
Sigma increases sales efficiency and closes deals faster through predictive sales analytics.
Terakeet pinpoints new market opportunities for customers 98% faster.
Gen AI Use Cases in Action
There are three primary areas where customers are making big strides with gen AI: text processing at scale, conversational AI assistants and automated business intelligence. These use cases help businesses quickly accomplish everything from text summarization and sentiment analysis to the development of powerful AI chatbots.
Siemens Energy built an AI chatbot based on a retrieval augmented generation (RAG) architecture to quickly surface and summarize more than 700,000 pages of internal documents, helping accelerate research and development.
Bayer democratizes data to help nontechnical users — from customer finance to sales to demand planning — quickly access insights via conversational AI for faster decision-making, without relying on data teams.
Compare Club efficiently summarizes hundreds of thousands of pages of call transcripts, extracting valuable insights that improve member experiences and team productivity while keeping customer data secure.
700K+
Siemens Energy’s AI chatbot democratizes access to 700K+ pages of knowledge to accelerate research and development
“This chatbot … has been a game changer for Siemens Energy. The ability to unlock and democratize the data hidden in our data treasure trove has given us a distinct competitive edge."
Tim Kessler
Unleash AI Outcomes in Your Organization
These customer stories show how future-minded leaders are delivering real results by building easy, efficient and trusted gen AI applications with Snowflake.
To gain inspiration for your own organization, see how companies big and small are using the AI Data Cloud and Cortex AI to achieve their goals — from better serving customers to gaining competitive advantage.
98%
Terakeet pinpoints new market opportunities for customers 98% faster
“Snowflake Cortex AI has changed how we extract insights from our data at scale using the power of advanced LLMs."