For Managers

Open MLOps

We are releasing the beta of Open MLOps: an open source platform for building machine learning solutions.

Early Sleep Apnea detection with AI

AI can predict the risk of Apnea from a single ultrasound, so patients no longer need 24 hours in a sleep lab

MLOps: The Ultimate Guide

A handbook on MLOps and how to think about it

Why you need a model serving tool

A platform like Seldon converts your model file into an API that you can serve at scale

Why is a Model Registry Valuable?

A model registry tracks versions and metadata for all your machine learning models

Software Development vs. Machine Learning

Both manage large codebases but machine learning engineers handle models and big data too

MLOps for model decay

Why you should monitor your machine learning models after shipping them

Open Source Software for MLOps

It’s important to own your ML pipeline for flexibility and control

MLOps for Research Teams

Ensuring your team’s work is reproducible, accountable, collaborative, and continuous

The Challenges of Translational Metabolomics

Translational Metabolomics bridges the gap between research and industry, “translating” scientific breakthroughs into real-world products.

Interpretable Machine Learning

Why and how to make your machine learning models interpretable

How to Develop AI Diagnostic Solutions

ZebraMedicalVision has 7 FDA approved solutions – here’s how they did it.

The 4 ways of doing Machine Learning

What’s the right way for your team to approach Machine Learning?

COVID-19 Wastewater Monitoring

Analyzing sewage for cheap, fast, accurate, non-invasive COVID-19 monitoring

Biologists and Data Scientists: The Cultural Divide

Insights from Alexander Titus

Deep Learning on H&E Slides

Can deep learning extract new insights from basic H&E stains?

Machine Learning Architecture Components

The 11 fundamental building blocks that make up any machine learning solution

AI Insights from the CTO of Skyline AI

5 common hurdles for Machine Learning projects and how to solve them.

ML solutions for Twitter, Pinterest and Amazon

Lessons from someone who’s done it all (or at least most of it)

Machine Learning Code Example

Train a model to predict who survives the titanic.

Machine Learning for Energy Distribution

9 use cases for energy distribution companies

Hire ML Engineers, not Data Scientists

Machine Learning Engineers finally deliver on the promise of AI.

Use Cases in Energy Transmission

6 applications for transmission system operators.

Machine Learning explained visually

9 curated images, interactive tools and flowcharts that explain machine learning

Introduction to Machine Learning

Everything you need to know to succeed in your machine learning project.

Machine Learning for Energy Generation

3 use cases for electric power plants

How to choose a ML partner

9 things to check when you pick a consultancy.

Machine Learning Use Case Checklist

Find the best use cases for your team with this simple checklist.

Machine Learning Project Checklist

Avoid confusion and plan your AI project with this simple checklist.

Offer Targeting

How to avoid Coupon Hunters by predicting the long-term impact of offers on each shopper

Predictive Targeting (Video)

Double Your Conversion Rates

Machine Learning in Finance

How AI is used for trading, fraud detection, insurance & personalised banking

Machine Learning for Trading

How AI helps traders make better decisions & improve high-frequency trading

Machine Learning for Marketing

What are the best applications of AI in marketing in 2018?

How We Find AI Use Cases

Our process is based on helping > 50 businesses decide what to do with AI

Email Targeting

Email only users who are ready to buy

Building a city recommender for nomads

Part 1: From Zero to First Recommendations

AI in Medicine

AI for Diagnostics, Drug Development, Treatment Personalisation and Gene Editing

The 4 Success Factors of any AI Project

How to make sure your project stays on track

AI for Real Estate Portals

Which AI-supported processes will be taken for granted in ten years?

The Machine Learning Workflow

What's different about machine learning projects? How do you limit risks and build a good solution?

Machine Learning vs. Artificial Intelligence

They are not the same – but are often used interchangeably

Dealing with Systematic Error in LC-MS