Systems | Development | Analytics | API | Testing

The Clear SHOW - S02E07 - Manual Orchestration (Pit Stop!)

Before we write the super-easy automation for our feature-store workflow, we have to make sure we all understand how to run a task on a clearml-agent! Join T. Guerre for a quick demo of what ClearML can do for manual orchestration of workflows, once you have used it to manage your experiments! ClearML - Your entire workflow in one MLOps platform

Jeeves Grows Up: How an AI Chatbot Became Part of Unravel Data

Jeeves is the stereotypical English butler – and an AI chatbot that answers pertinent and important questions about Spark jobs in production. Shivnath Babu, CTO and co-founder of Unravel Data, spoke yesterday at Data + AI Summit, formerly known as Spark Summit, about the evolution of Jeeves, and how the technology has become a key supporting pillar within Unravel Data’s software.

DataStore vs FeatureStore

I think it’s safe to say that one of the worst things in Machine Learning is the terminology. The maths and statistics are definitely part of the learning curve, but more than that, it feels like you are learning a new language. In some ways, you are. DataStore and FeatureStore are two of the current buzzwords that people are trying to understand. To be fair, DataStore and FeatureStore feel like family rather than strangers.

From Native Microservices to Full API Gateway Adoption in a Hybrid Mesh Ecosystem in the Cloud

ManoMano is a french DIY marketplace that faces scalability issues due to its hyper-growth — 100% growth in 2020 to €1.2 billion. To tackle this challenge, their website has slowly transformed from a “classic” backend application serving html to a microservices-based architecture.