How Preligens Accelerates their AI operationalization

Preligens develop pioneering AI technologies for tackling international security challenges by building tools for defense & intelligence experts.
As such, they have high operational constraints, among them ethics and robustness; yet they managed to reduce their AI operationalization time by a factor of 10. In this talk, Renaud Allioux, CTO and cofounder, will describe their approach, covering tools, processes, and, most importantly, the organizational structure that empowered them with such celerity.

⏰ Schedule

• 18h30 - 19h00: Welcome & Introduction 👋
• 19h00 - 19h45: Talk 🎙
• 19h45 - 20h00: Q&A Session 🙋‍♀️
• 20h00 - 21h30: Cocktail & Networking 🥂

🎙 About the speaker

Renaud Allioux is the Cofounder and CTO of Preligens, a Tech industry in Defense. He has a PhD in Astrophysics and over 10 years of experience in scientific computing and remote sensing, including 4 years at Airbus. He co-founded Preligens with Arnaud Guérin in 2016, aiming to automate the analysis of multi-source data using AI and direct analysts to unusual events. Today, Renaud leads a team of more than 120 collaborators, to pioneer AI technology for a safer world, by developing solutions for mission-critical applications. Renaud now leads a team of over 120 collaborators to develop AI solutions for mission-critical applications and works to achieve technical excellence and speed.

🙌 Sponsors

Preligens is a company founded in 2016 and dedicated to the development of artificial intelligence-based software for the defence and intelligence sector. As analysts are faced with an exponential increase of available data, the products developed by Preligens aim to automate repetitive tasks to allow them to focus their expertise on high value-added tasks. Initially focused on the analysis of satellite images in the visible range, the company now processes a wide variety of data, in order to cross-reference information from different sources.

Datadog is an observability and security platform that unifies metrics, traces, logs, and security signals for centralized visibility on dynamic environments. By bringing together data from every tool in a company’s stack, Datadog enables customers to easily monitor the health and performance of their infrastructure and applications at scale. No matter the industry, scale, or use case, Datadog’s solutions help teams consolidate tool sprawl, break down silos, reduce operational costs, and remain agile in the market.

🤩 Audience

This is a meetup for data professionals who want to push forward the productionization of machine learning development within their organizations: data scientists, data engineers, software and devops engineers, data project/product managers...

👋 Contact

For any inquiries, please contact florent@mlops.paris