Reinforce 2023 - Francesca Belli Novak
AI regulations in the EU. Where do we stand?
BelliLS - International Legal Services in Life Sciences
Level: General
Reinforce 2023 - Vlad Iliescu
Real-Time Machine Learning with Azure ML Online Endpoints
Level: Intermediate

Are you using the most appropriate machine learning approach for your use case? Some machine learning tasks can be completed in real-time, while others require batch processing. This talk will compare and contrast the pros and cons of both approaches, so that you can assess the differences between batch and real-time inference. You will also learn how to do real-time ML using the new Azure ML Endp...

Reinforce 2023 - Bas Geerdink
The culture, architecture and technology of MLOps - how to do machine learning in production at enterprise scale
machine learning
data engineering
Level: General

Artificial intelligence (AI) has quickly become a main focus topic for organisations and governments worldwide. What started in small R&D environments in the ‘big data’ revolution a few years ago has now grown into a mature practice where data scientists and data engineers work together towards common business goals. AI is powering the finance, retail, energy, and healthcare sectors. This grow...

Reinforce 2023 - Sharon Zhou
Cracking the Code to Customizing Large Language Models
Stealth Startup
Level: General

Large Language Models such as ChatGPT have taken the world by intrigue and surprise at how they've been able to analyze and generate text. These general models can be used for a wide variety of tasks. While they're generally interesting for a demo, they have fallen short of many tasks that are actually useful to an end user. Right now, countless hours, days, years of people-hours are spent on...

Reinforce 2023 - Erik Schluntz
Scaling a Fleet of Robots in the Real World
Cobalt Robotics
Level: General

Cobalt has scaled it's fleet of robots to triple digits, now having a footprint on 5 continents. Because Cobalt operates it's robots as-a-service (RaaS), we've solved many unique (and sometimes humorous) problems that you'd never find in the lab. Erik will discuss some of these key challenges that prevent other robotics companies from scaling up, and how Cobalt has solved them with a unique blend ...