📌 How banks are using generative AI
AI case studies: #2024-02 | How AI is transforming the world?
Generative Al has the potential to deliver significant new value to banks; between $200 billion and $340 billion are expected to be invested with applications spanning:
Customer engagement
Content synthesis
Content generation
Coding/software development
These innovations promise to enhance efficiency, streamline processes, and significantly reduce the time required for various tasks.
And ultimately contribute to improved overall performance within banking institutions.
Explore more
Capturing the full value of generative AI in banking by McKinsey & Company.
Finding value in generative AI for financial services by the MIT review.
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Workbook: Building a sustainable data-driven organization, part 1
Hello, This workbook is based on conversations with AI startup founders and engineers. We present it as an evolving planner to help founders and leaders integrate the central notions of building a sustainable data-driven organization. There are many ways to build business solutions and tools with AI, including open-source models, LLMs, training models, fine-tuning, or using hosted APIs, all from scratch. But we also see a surge of interest in data-driven business acquisitions among large companies. It entails buying an existing solution, not starting it from zero, with the potential for more autonomy and ownership.
📌 AI case studies
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