Matthieu Rousseau

CEO & co-founder Modeo | AI & Data Engineering

Paris 🇫🇷 🥐

[vas @vasuman]

https://t.co/oxa2EB0xtY

[Aaron Levie @levie]

Good post on how to think about process redesign in an enterprise with AI Agents.

Unfortunately for most workflows, there’s no “easy” button. The best way to get real efficiency gains is you have to actually reengineer the process to take advantage of what agents are actually good at and can do differently and faster than people.

One of the challenges of course is that the most important workflows actually space many functions at once, so someone needs to be able to go in and retool how work happens.

“Nobody in that chain is empowered to walk into finance, for example, and say that their 14 step process should actually only be 5 steps. So nobody does it. Instead, you 'apply AI' on what you currently have, and you end up with faster sh*t.”

This is the road ahead for AI diffusion in enterprises. This also presents the clear opportunity for companies - both at the applied AI layer (regardless of the article’s title) and teams or companies that can go and implement transformation into the enterprises. And all roads lead to FDEs one way or another.

[Matthieu Rousseau @ModeoAi]

@hwchase17 We've got several deepagents projects running at Modeo in Paris. Shared memory across users in one thread is exactly where we spend our time. Happy to share real-world feedback. And if useful: a co-hosted hands-on demo for the French data/AI community.

[Harrison Chase @hwchase17]

Slack is the best ux

[Harrison Chase @hwchase17]

It’s beautiful

[Andy Jassy @ajassy]

Congrats Arthur Pace for winning Paris #AWS DeepRacer League stop--see you@ Championship Cup at re:Invent 2019!

[Matthieu Rousseau @ModeoAi]

Thank you @ClickHouseDB for this interview !

[ClickHouse @ClickHouseDB]

Is it possible to handle growing data volumes sustainably?

@ModeoAI's new solution Stash, chose #ClickHouse for its scalability and storage efficiency.

Learn how they are helping businesses to gain insights into data usage, cost, and environmental impact
https://t.co/hBihynjZZN

[Mr @rousseau_matt]

Thanks @awscloud ! #communitybuilder

[Julien Simon @julsimon]

Friends, I'm extremely happy to announce that my #SageMaker book is now available for pre-order on https://t.co/XZfFCfyArJ and on other sites as well. Release date is set to September 9 #AWS #MachineLearning https://t.co/P8OnWhfwFS

[Grazia Vittadini @graziavittadini]

Hats off to our ATTOL team who in two years achieved a world first in #aviation: Autonomous Taxiing, Takeoff and Landing using onboard image recognition technology! Demonstrating fully autonomous runway landings is a proof of #autonomousflight software progress. Way to go!

[Richard Socher @RichardSocher]

Excited to introduce the AI Economist: Extends ideas from Reinforcement Learning for tackling inequality through learned tax policy design.
The framework optimizes productivity and equality.
Blog: https://t.co/5xferEiUkg
Paper: https://t.co/CEbX79SROD
Q&A: https://t.co/kzSrlMCvM7

[Towards Data Science @TDataScience]

10 tips to make your data science code cleaner and more efficient https://t.co/MtZ5AI4qYH

[Mr @rousseau_matt]

One day ago we shared our "10 tips to make your data science code cleaner and more efficient".

Today we are glad to announce that our article has been reviewed and featured in @TDataScience.

@IGoulani @ModeoAi

Link 👉 https://t.co/nMr6HexlIe

[Pawel Mikler @pawelmikler]

I do realize that ML model deployment isn’t the end of #MachineLearning life cycle. It’s important to think how to:

- monitor model performance
- making your models reproducible
- consider training & deployment strategies
- automatically retrain & deploy models to production

[Matthieu Rousseau @ModeoAi]

How to make your #MachineLearning pipelines more robust and more readable? This article written by the founders of https://t.co/Do9vx8N5J7 gives you 10 tips to improve the way you code.

https://t.co/kyrf6Bwdg3

[Elon Musk @elonmusk]

“At Tesla, using AI to solve self-driving isn’t just icing on the cake, it the cake” - @lexfridman

Join AI at Tesla! It reports directly to me & we meet/email/text almost every day. My actions, not just words, show how critically I view (benign) AI.

https://t.co/iF97zvYZRz

[KDnuggets @kdnuggets]

Google AI chief @JeffDean interview: #Machinelearning trends in 2020
- New AI hardware
- #DeepLearning systems should consider their energy consumption to help combat #climatechange
- expect advances in multitask learning and multimodal learning,
https://t.co/Nv2qGYP46A

[Matthieu Rousseau @ModeoAi]

Discover the method used by our CEO @rousseau_matt
at the final of the #AWSDeepracerLeague, the self driving car race organized by @awscloud that lets him find the most optimal path on any circuit.

https://t.co/hABcmgRyJu

[Matthieu Rousseau @ModeoAi]

Découvrez la méthode utilisée par notre CEO @rousseau_matt
lors de la finale de la #AWSDeepracerLeague, la course de voiture autonome organisée par @awscloud, qui lui permet de trouver le chemin le plus optimal sur n'importe quel circuit.

https://t.co/hABcmgRyJu

[Mr @rousseau_matt]

I will talk about the deepracer at #reinvent the 03 of December at the MGM Grant. Come see me if you want to see some cool python stuff. @Capgemini @awscloud