Startup eBooks

AI - Step by step guide for startup founders

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Solving the biggest artificial intelligence challenges Most startups have made investments and progress in their AI journeys and are exploring the possibilities of generative AI. But many find themselves hitting stopgaps along the way, worried that costs and complexities will grow too high as they progress. Throughout this eBook, we explored the steps to forge ahead and realize the full power of generative AI. To recap, let's look at the biggest challenges we identified along the way, along with a brief recommendation of how your startup can solve them. To learn more about how you can overcome obstacles and accelerate your AI journey, visit the AWS AI Resource Hub. Get started › Explore generative AI › 2024, Amazon Web Services, Inc. or its affiliates. All rights reserved. Challenge Solution Discouraging failures Developing a fault-tolerant culture Siloed, unprocessed data Creating a modern data strategy that includes data lakes Finding the right business problems Building blended teams that include both technical and domain experts The AI skills gap Adopting new organizational models, processes, and team management philosophies Sustainably scaling beyond pilot projects Leveraging end-to-end tools like Amazon Bedrock and SageMaker to build and scale generative AI applications Measuring the results Forgoing traditional ROI metrics in favor of agility, competitive advantage, and risk tolerance using the value tree model 17

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