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Business Intelligence

Understand your human limits, then exceed them.

Data is the central nervous system for every modern business. Does your business have a brain?

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eCommerce and Marketing

Smarter, more profitable, customer-oriented decisions.

Pattern recognition through machine learning is the marketer's best tool for delivering customised experiences.

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Pharmaceutical and Healthcare

Be more human, by machine.

Optimised research, powerful diagnostics, better patient engagement or streamlined administration, all mean you can focus on challenges fit for a human.

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Explore Use Case Library

From applications in primary industries and manufacturing, to legal and financial servies.

Explore 80+ applications delivered by the Collective.

What's Possible?

Machine learning ingests 'observations' (data)...

...to find patterns.

These patterns can be used to:

Optimise | Categorise | Automate | Predict

One brief, multiple responses.

Find out what can be done!

Process managed. Price matched.

Boutique machine learning providers at scale.

Brief the Collective

Why? Client Benefits

1. Brief

2. Taxonomy

6. Results

1. Brief

1/8

How the Pitch Process Works

e-Commerce & Marketing

Predicting Basket Size for Tescos

Project highlights from the Machine Learning Collective

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Use Case Library

Members

Greater than the sum of our parts

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A centralised sales and marketing team for boutique machine learning consultancies.

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Ways to work with the Collective

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Where to begin?

Managed consultancy service. Discover which and how intelligent technologies can work for your business.

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About Us

Brief a Collective of machine learning software providers

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What are the options?

One brief, multiple responses from around the world. Account service managed by the Machine Commons.

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Solve a Niche Solution

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Interviews

Read the perspective of people who work with machine learning every day

Explore 60+ Interviews

14 min read

All science is becoming data science

Steve co-founded Curvenote with a mission nothing short of making science better. Dev tricks can be applied to all scientific methodologies.

8 min read

Data science is not really a science anymore

Jan Matousek is a practical data scientist who is more focused on working solutions that shiny toys, sharing his approach to ML in e-comm.

10 min read

Without open-source, we wouldn't be here.

Oleguer discusses how remote business hasn't changed much, recalls some fascinating use cases and leaves predictions for the future of AI.

8 min read

Garbage Detection, from Space

Sergey uses satellites to detect garbage and monitor borders. He discusses his approach to business and he casts his mind into the future.

7 min read

The Game of ML Models

Manish at Jiva.AI is building a 'game of life' inspired, multi-modal platform to improve the predictive power of healthcare diagnostics.

5 min read

Forecasting, a problem every company faces

From crop prediction to predictive resource rostering, every business can benefit from better forecasting.

7 min read

Our algorithms have sex

The father of channel attribution and ex-Googler Gabriel Hughes explains his journey to genetic algorithms and dynamic user interfaces.

4 min read

Clients now come to us

Przemek struggled through the early days explaining how ML can help. Now, clients come to him with ideas.

6 min read

Adaptability and Survival

After landing a large airline deal, Covid grounded the industry. Survival comes from adaptability, as shown by Taybull's business model.

5 min read

Innovation and Bureaucracy

Steven Boylan paints a picture of the EU public-sector funding landscape and talks about a few of his innovation projects.

Request an Interview

niche innovation.

global scale.

Machine learning ingests 'observations' (data)...

...to find patterns.

These patterns can be used to:

Optimise | Categorise | Automate | Predict

One brief, multiple responses.

How the Pitch Process Works

Predicting Basket Size for Tescos

Members

Employ Life's Patterns

Premier Consultancy

Brief the Collective

Solve a Niche Solution

Interviews

All science is becoming data science

Data science is not really a science anymore

Without open-source, we wouldn't be here.

Garbage Detection, from Space

The Game of ML Models

Forecasting, a problem every company faces

Our algorithms have sex

Clients now come to us

Adaptability and Survival

Innovation and Bureaucracy

Welcome to the future of business.