Leveraging Data & AI
Thematic trail
At the heart of open source innovation for data and artificial intelligence
As part ofOpen Source Experiencethe route "Leveraging Data & AI" highlights the open source technologies, communities and projects that enable organizations to transform their data into real levers of performance, innovation and digital sovereignty.
From data collection and analysis to the industrialization of artificial intelligence, via governance, open models and the challenges of responsible digital technology, this course offers a complete vision of the open solutions that are shaping the future of Data and AI.
Through conferences, feedback and meetings with ecosystem players, discover how open source technologies address the challenges of data mastery, innovation and technological independence.
The themes of the course
Big Data & Business Intelligence
Discover open-source solutions for collecting, processing, and analyzing large volumes of data.
Leverage Business Intelligence to transform your data into decision-making tools.
Leverage Business Intelligence to transform your data into decision-making tools.
Artificial Intelligence & Machine Learning
Explore open-source frameworks and platforms dedicated to machine learning.
Discover concrete use cases for developing high-performing and reliable models.
Discover concrete use cases for developing high-performing and reliable models.
LLM & Generative AI
Understand the opportunities offered by large language models and generative AI.
Explore open models, sovereignty issues, and new business applications.
Explore open models, sovereignty issues, and new business applications.
MLOps
Discover the practices and tools for industrializing artificial intelligence projects.
Master the model lifecycle, from development to production deployment.
Master the model lifecycle, from development to production deployment.
Data Governance
Structure and secure your data assets through effective governance.
Address the challenges of data quality, compliance, cataloging, and sharing.
Address the challenges of data quality, compliance, cataloging, and sharing.
Open Datasets, Models & Licenses
Discover how open data and models foster collaborative innovation.
Understand the challenges related to licensing, reuse, and resource sharing.
Understand the challenges related to licensing, reuse, and resource sharing.
Data Science & Data Governance
Leverage your data with data science methods and tools.
Combine analytical performance, data quality, and mastery of information assets.
Combine analytical performance, data quality, and mastery of information assets.
Responsible Digital Technology
Integrate environmental, social, and ethical considerations into your data and AI projects.
Discover best practices for designing more sustainable and responsible digital solutions.
Discover best practices for designing more sustainable and responsible digital solutions.
Related conferences
Find all the conferences, workshops and feedback from the show dedicated to the valorization of Data and AI.
Program available from September!
Who is this course for?
- Data Directors and Managers
- Chief Data Officers (CDO)
- Data Scientists and Data Engineers
- AI and Innovation Managers
- Data and Cloud Architects
- BI and Analytics Managers
- CIOs and digital transformation managers
- Public sector actors
- Business decision-makers looking to further leverage the value of their data
Open Source Experience invites you to discover how open technologies are transforming data and artificial intelligence into drivers of innovation, trust and digital sovereignty.