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Explore ASOS's journey in building a scalable AI demand forecasting system, addressing challenges in ML modeling, data processing, and integration for improved stock management.
Discover best practices for prompt engineering, learn to chat confidently with LLMs, and explore AI solution examples in this introductory-level talk.
Explore the importance of training virtual assistants, their potential pitfalls, and how to ensure AI reliability. Gain insights into effective AI interaction and learn to share your expertise with others.
Explore AI-driven product catalogue creation at UNiDAYS, covering NLP/NER techniques, challenges faced, and decision-making processes for AI implementation in data processing.
Explore advanced AI systems using MoE, multimodality, and agent crowds. Learn techniques for building composite intelligent systems beyond single algorithms or models.
Explore how Generative AI and LLMs enhance B2B audience understanding through topic modeling and text classification, improving data quality and audience interest analysis.
Explore demand modeling in grocery retail: forecasting sales, diagnosing performance, and optimizing pricing strategies. Learn key requirements, challenges, and solutions in this high-level overview.
Explore MLOps, AI observability, and LLMOps integration. Gain insights on implementing AI stores for enhanced management and governance of traditional and generative AI solutions across organizations.
Enhance vector search retrieval quality by encoding diverse information into single vectors, simplifying deployment and reducing post-processing needs.
Explore multimodal generative AI's inner workings, key concepts, and practical applications for creating realistic multimedia experiences in this technical talk by NVIDIA expert.
Leverage data products, implement hybrid model deployment, and drive AI innovation by accessing unknown data with unknown questions for transformative advancements in your projects.
Explore causal inference techniques for understanding consumer behavior and improving customer lifetime value in retail, using Marks & Spencer as a case study.
Explore data science applications in economic consulting, focusing on regulations, litigations, and competition economics. Learn how advanced analytics transform decision-making and legal strategies.
Extract and process data with Python to answer quirky questions and create innovative visualizations for data-driven insights.
Explore insights from launching CriteriaGPT, a RAG-based chatbot for mortgage brokers. Learn strategies for implementing retrieval augmented generative applications across various domains.
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