MMM Opportunities of Using Causal Inference
Integrating causal inference into Marketing Mix Models transforms correlation-based marketing analytics into powerful decision engines that reveal the true impact of campaigns.
How We Created Our First Talk-to-Data (Text-to-SQL) Application in Production
Delving into the R&D journey of creating a pioneering Text-to-SQL tool, exploring the intersection of data governance, business language challenges, and the semantic power of LLMs.
Where LLMs still fail
An exploration of current limitations in Large Language Models (LLM) through concrete examples, revealing their surprising struggles with seemingly simple tasks.
Optimizing Chatbot Performance: A Two-Phase Methodology for Enhanced Performance in HR Policy Responses
At Ekimetrics, we've tackled the challenge of ensuring the relevance and accuracy of chatbot responses by developing a cutting-edge chatbot system designed to navigate the complex landscape of HR policies.
Bayesian Neural Networks
Bayesian neural networks (BNNs) is a pioneering approach that embraces uncertainty as a strength.
Multimodal Deep Learning
Understand why multimodal deep learning models are more accurate than assembled unimodal models.
Uncertainty in time series forecasting
Discover uncertainty quantification for time series forecasting.
Maths Men: The Economics of Online Advertising
Willing to learn about the online ad market, cross-media effects and contextual advertising? This article wraps up the content of a PhD thesis on the economics of online advertising, defended by Rémi Devaux, Senior Consultant at Ekimetrics.
ClimateQ&A
AI to make climate and biodiversity science more accessible.