Discover the secrets to maximizing ROI in AI startups with “3 Ways to Reduce the Cost of AI”. This illuminating guide reveals how AI can be massively leveraged while controlling costs. Learn how to reuse and recycle AI project components, facilitate more use cases with a single price, and ensure efficiencies throughout the AI lifecycle. With practical examples and proven strategies, this document provides a roadmap for achieving a 423% ROI with Data.

What will you learn when you read this document?

• How can you significantly reduce the cost of artificial intelligence projects Discover the principle of reusing and recycling AI components to avoid costly rework.
• What strategies can multiply the value of your AI initiatives? Discover how you can streamline more use scenarios and uncover untapped value by paying a single price.
• How can you achieve efficiency throughout the AI lifecycle? Explore ways to control costs through operationalization, MLOPs, and changes to core architecture.
• What tools and platforms can make it easier for you to develop artificial intelligence? Discover how Dataiku can save 75% of data scientists' time and reduce manual, repetitive tasks by 90%.
• How can you achieve a 423% return on investment with Dataiku? Read the Forrester study and learn the real-life stories of organizations that made big savings with Dataiku.