Under the high patronage of His Majesty King Mohammed VI may god assist him 🇲🇦
October 2 - 4 - Devoxx Morocco 2024 🇲🇦
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Speaker details

Pietro Mele
Adelean
I'm Pietro, a highly motivated software engineer with a passion for developing cutting-edge search engine solutions. Throughout my career, I've had the privilege of working at Adelean and the INA (French media institution responsible for preserving and promoting French audio-visual heritage), where I've gained valuable experience and honed my expertise in utilizing Elasticsearch to deliver efficient and effective search results.My background encompasses a strong foundation in machine learning and computer vision, which allows me to incorporate intelligent algorithms into my work. I'm constantly driven to learn and expand my skillset, staying up-to-date with the latest advancements in the field.Outside of work, I find great pleasure in reading, engaging in sports activities, and even coding for fun. These hobbies not only help me relax and recharge but also provide me with opportunities to explore new ideas and experiment with different programming techniques.Overall, I am an enthusiastic and dedicated software engineer who thrives on solving complex problems and pushing the boundaries of what's possible in search engine development.
Search engines have undergone significant evolution, becoming an integral part of our daily lives. As users increasingly demand more personalized and intuitive search experiences, search engines are undergoing a profound transformation.
In this talk, we will explore cutting-edge technologies driving innovation in search engines, with a focus on three key areas: Voice Search, Question Answering, and Language Model (LLM) technologies.
Through real-world examples and compelling case studies, we will showcase the practical applications of these transformative technologies.
We will witness how voice search revolutionizes user interactions, allowing natural language voice commands for effortless information retrieval.
Moreover, we will delve into the advancements in question answering systems, from extractive to generative question answering.
Finally, we will explore how the integration of LLMs enhances search engines' accuracy and responsiveness, creating a more conversational and personalized search experience.
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