Feb 11 2020
Deploy your models to production in 60 seconds! How does that work?
Dotscience is all about simplifying model deployment to get you into production. How does this work for real projects?
Dotscience blog
Jan 21 2020
How to annotate your Python code for use in Dotscience
Dotscience Principal Data Scientist Nick Ball explains how to annotate your Python code for Dotscience so that your work is 100% reproducible, accountable, and auditable
Dec 18 2019
Dotscience Announces Native GitLab Integration
Dotscience partnership with GitLab underscores need to bring integrated DevOps practices to ML, enabling reproducibility, accountability, collaboration and continuous delivery for ML
Dec 18 2019
Dotscience Gains Momentum in the MLOps Ecosystem
Dotscience Gains Momentum in the MLOps Ecosystem and Accelerates Deployment of Machine Learning Models into Production with New Technology Partnerships and Product Innovations
Dec 18 2019
TrueLayer Deploys Dotscience
Europe's leading provider of financial APIs deploys Dotscience on AWS to enable reproducibility, provenance and metric tracking of AI models
Dec 18 2019
Case Study: How TrueLayer Created an MLOps Pipeline for Fintech with Dotscience
How TrueLayer use Dotscience to achieve MLOps
Dec 18 2019
Dotscience Enables the Fidelity Investments Maturity Matrix for Successful AI and MLOps in the Enterprise
In this interview, Dotscience Founder & CEO Luke Marsden and Charles Radclyffe, Head of AI at Fidelity International reveal the Fidelity Maturity Matrix for evaluating and driving AI projects in large enterprises, and show how Dotscience model inventory, model management and infrastructure management accelerates progression through all three of the Demand, Scale and Governance Pillars.
Dec 10 2019
Explainable and privacy-preserving artificial intelligence - Part 2
Predicting and understanding the success of bank telemarketing calls.
Nov 28 2019
Explainable and privacy-preserving artificial intelligence - Part 1
AI is increasingly under scrutiny from regulators. To gain the public's trust, AI models will have to be both explainable and privacy-preserving.
Nov 5 2019
Logistic Regression from Scratch
Learn how to create a logistic regression from scratch, with code samples in Python
Oct 30 2019
Dotscience Releases New Advancements to Deploy and Monitoring for ML models
Dotscience Releases New Advancements to Enable Simplest Method for Building, Deploying and Monitoring ML Models in Production on Kubernetes Clusters to Accelerate the Delivery of Business Value from AI
Oct 30 2019
How Solving the MLOps Drivers Can Unblock AI in the Enterprise – A Conversation With S&P Global’s Ganesh Nagarathnam
In this interview, Dotscience Founder & CEO Luke Marsden discusses how "solving the MLOps drivers" can unblock AI in the enterprise with Ganesh Nagarathnam, Director of Analytics and Machine Learning Engineering at S&P Global.