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Data Science

AI and machine learning engineered for agility and scalability

Data Science - don't believe in magic..

Data Science seems to have something mystical about it, to the extent that enterprises have almost come to consider it as a magical solution to impossible problems. The reality is that behind DS there are tons of unfashionable data engineering and analysis tasks, before statistical models can be applied to the problem. A great model is worthless if it can't be delivered in a scalable, cost effective and technically sustainable way.

At Data Language we don't just excel in the delivery of Machine Learning solutions, we can leverage years' worth of technical excellence to ensure your AI solution can actually be delivered at the highest standards of software engineering.

Further information

Data Science is very much an engineering activity. There is a lot more to it than the score of a function...

  • Rigorous data engineering

  • Scalable solutions for the enterprise

  • Portable and extendable Machine Learning

  • Fast feedback for faster iteration

  • User-centric approach to AI delivery

proposition

Understand your data

Unlock the full potential of your data through early discovery, analysis, and visualisation.

proposition

Learn fast

With so many variables to tweak, rapid feedback and short iteration cycles are imperative to an effective delivery.

proposition

Models are software

As with any piece of code, statistical models also benefit from engineering best practices for delivering at scale, with controlled total cost of ownership.

Latest insights

Data Science is about building software

For Data Science to truly live up to expectations, it must embrace software craftsmanship.

Introducing Tagmatic

Tagmatic is a service for automatically tagging your content. It uses sophisticated machine learning techniques to learn how you tag your content on-the-fly and then will tag new content automatically.

Interested in this service?

If you would like to know more about Data Language or have a project you would like to discuss with us, then please get in touch.

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Add one Semantic CMS, stir in one hyperlocal New York media brand.

W42ST is a hyper-local media brand and magazine. Every month, W42ST magazine connects the people who live, work in, and visit Hell's Kitchen, New York, with each other, and the most exciting, authentic experiences possible.

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Euromoney

The Delphi project - Linking data at Euromoney

With 13 divisions globally and 100+ digital products, Euromoney had a fantastic opportunity. And they took it.

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BBC

Machine Learning for the newsroom

Our long term relationship with the BBC is testament to the faith the BBC have in Data Language. In 2017 we worked with the BBC to develop a machine learning service to automate the tagging of high volumes of digital content.

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Agrimetrics

Big Semantic Data for the agri-food industry

Delivering the world’s first big data centre of excellence in agriscience.

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Cochrane

Evidence Based Healthcare at Cochrane

Data Language are working with Cochrane to explore how linked data can be used to enhance their meta-analyses and improve productivity.

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IET

The Institution of Engineering and Technology

INSPEC is a market-leading database of scientific and technical literature that was launched in the 1960s.

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Parliament

Domain modelling UK Parliament

Digital Parliament Services develop digital services serving both members of Parliament and the public. We helped get their Linked Data infrastructure on track.

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What they say about us

Data Language have helped Cochrane transform from a document centric organisation to a data centric one. Their knowledge of linked data and data strategy is world class. They deliver.

Chris Mavergames

CIO, The Cochrane Collaboration

Data Language helped Euromoney distill a broad and complex enterprise engineering problem into a deliverable technical and data strategy. I would be happy to recommend them to anyone.

Ben Jones

CTO, Euromoney

Data Language have a very high level of knowledge in data modelling and overall skills in technical architecture and semantic workflows.

Sara Sharman

Head of Content Services, IET

Data Language are rock solid people who can manage the whole project from end-to-end. They understand the dynamics of publishing... unparallelled in my humble opinion.

Todd Carter

CEO, Tagasauris

I was impressed with how quickly the Data Language team was able to grasp the unique features of our content and with the great fit between the approaches they suggested and our needs and those of our users.

Lorne Becker

Director of Innovations, The Cochrane Collaboration

Technically extremely good, right the way through from design and building to data infrastructure to software development of semantic web technologies. The guys are really personable which is really good

Richard Tiffin

Chief Science Officer, Agrimetrics

Data Language have great experience in information architecture for broadcasters, which is quite rare. Their enthusiasm has rubbed off on my team, which is a real bonus.

Oliver Bartlett

Head of Recommendations and Metadata, Sky TV

Data Language have been fantastic working with us to develop a set of domain models. Through this process we were able to design a coherent set of ontologies to enable new innovative data driven products.

Michael Smethurst

Data Integration Architect, Parliamentary Digital Service