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Working with AI
Problem Clarity First, GenAI Solution Second
GenAI initiatives often struggle early because the problem they aim to solve is not clearly defined. Join Sofie Holm Stenstrop from Danske Bank and learn how to define meaningful use cases, align stakeholders, and build the right foundation for real business value.
Sofie Holm Stenstrop • 09:19
Working with AI
How GenAI Works?
In this video, Maurice breaks down the fundamentals of Artificial Intelligence (AI), exploring its key branches, Machine Learning (ML), Deep Learning (DL), and Generative AI. He explains how AI powers everyday applications like chatbots, recommendation systems, and robotics, as well as the crucial role data quality plays in AI accuracy. He also explains the difference between Narrow AI, which exists today, and Artificial General Intelligence (AGI), the next frontier in AI development.
Maurice Tony Ewing • 11:49
Finance
Risks and Opportunities for AI in Financial Services
In this video, Paul explains how AI is transforming financial services, improving processes in credit scoring, fraud detection, and trading with methods like supervised, unsupervised, and reinforcement learning. He covers advanced techniques such as neural networks and deep learning for analysing unstructured data, alongside essential performance metrics like precision, recall, and AUC-ROC to evaluate AI models effectively. He also highlights the importance of ethical considerations in AI deployment to maintain trust and support sustainable practices, ensuring AI not only performs well but aligns with responsible business standards.
Paul dos Santos • 11:26
Working with AI
Protecting Data in the AI Era
Guarding personal data is more important than ever in today’s world. In this video, Tom Shaw explains how we can navigate the complexities of data protection laws like GDPR while using AI and automation tools. Learn to stay compliant, avoid fines and guard your personal data.
Tom Shaw • 05:36
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