Data Science & AI

Data Science and AI Consultancy

As a data science and machine learning Consultancy, Adatis help clients to implement and run machine learning workloads on Azure. We also have subject matter expertise building, managing, and deploying AI solutions that leverage Cognitive Intelligence, Cognitive Search, and Bot Frameworks. We can support all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring. Our teams work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.

Define smart Data Science goals, and build the right infrastructure
See value faster, with automated development, data processing and deployment
Let us manage your entire Data Science lifecycle – and even do the science

Read our AI Proof of Concept Case Study: The National Archives

Harness Data Science within the Microsoft Azure Data Analytics Landscape.

Realise the value of your Data Scientists with our Data Science Enablement Service. The use of Machine Learning and AI was once a niche area but has rapidly shown value in more traditional businesses. Advanced clustering produces new ways of viewing your customer base that leads to smarter product recommendation engines. Preventative maintenance can massively reduce costs and advances in image, video and audio recognition can automate tasks that previously required human intervention.

No matter where you are on your journey, Adatis’ Data Science Consultancy can help you

Azure OpenAI Enablement

Enabling businesses to leverage the power of OpenAI and ChatGPT on the Azure platform. This engagement pushes organisations to the forefront of AI technology.

The Azure platform offers a plethora of innovative AI technologies, many of which are ground breaking in the quality of their insights but also the ease of implementation. However, none are as transformational as the arrival of OpenAI on Azure. Where previous services were trained for specific purposes, Azure OpenAI models can outperform the majority of these capabilities using purely natural language based queries. The exclusive partnership between Azure and OpenAI ensures a truly revolutionary platform for organisations across industries.

With this revolutionary platform comes a breadth of opportunities, so cutting through the hype to achieve measurable business value is imperative.

How do you ensure your organisation leverages this new technology effectively to drive real world value and impactful change?

Learn more about Azure OpenAI Enablement

The Adatis Approach to Data Science

Our Services

Innovate with new analytics tools and technologies. In this age of Machine Learning and AI, companies must learn and adapt to keep a competitive edge.

Space for Experimentation & Change
Automation & DevOps
Ability to Handle Massive Datasets
Scalable Architectures
Fault Tolerance
Flexibility and Agility as standard
Operationally Cost Optimised

Adatis Knowledge Mining

With Adatis’ Knowledge Mining solution, ingest data from many different sources into a single unified data estate, and unlock insights across structured and unstructured content – such as documents, images, and media – by applying AI at scale across your information. With AI-driven content understanding, discover hidden patterns and relationships in your content, understand sentiment, extract key phrases, and more. The Adatis Knowledge Mining solution has functionality that covers a wide set of requirements including:

Data Collection

Obtaining documents and storing them in a location that is accessible to the tool

Pre-Processing

Cleaning and transforming data so that it can be trained and scored as part of the model development or classification pipeline

Deployment and User Interface

Training and evaluating different classifiers to determine the best algorithm and best set of hyper parameters to give the greatest performance

King’s College London and Adatis explore how Machine Learning can help to predict Student Withdrawals

An innovative pilot project confirms the transformational impact of an Azure-based data lake and machine learning on predicting potential student course withdrawals.

‘The results of the different models from the proof of concept were well beyond our expectations. They unambiguously affirmed the potential of this solution and very quickly we moved into thinking about how we could bring it into full production and leverage the value from the insights the model provided.’
Richard Salter, Director of Analytics – King’s College London

Read the full case study

Simplyhealth adopts data science for greater customer understanding

The health insurer has begun to use data science to improve customer retention following an Adatis-led implementation of a Microsoft Azure data stack and data science skills development programme.

“What we are able to prove with the data is that those customers that engage with the product are much stickier, and that is what our marketing department needed, so they can take proactive action.”
Andrew Bradley
Head of Data and Analytics at Simplyhealth

Read the Case Study

Case Study – The National Archives

The National Archives use Microsoft Cognitive Services and Databricks to identify and select digital assets to be stored.

With ever growing amounts of born-digital information reaching the age of selection or deletion, there are not enough well-trained eyes available to review the required documents. The risk of losing records of great historical importance becomes more and more prevalent. The National Archives have therefore identified a critical need to establish machine learning techniques as common practice for record management in many Government departments.

Read the full Case Study

The Adatis AI Model Review

As the rise of machine learning (ML) continues, more and more organisations are piloting ML models across a wide range of applications. The Adatis AI Model Review is a sequential list of checks used to validate the completeness of a solution and make recommendations for potential improvement. As a Machine Learning Consultancy, our goal is to use our experience of deploying operational ML solutions to provide a degree of confidence in the models that are shaping our clients business and ensure common pitfalls are avoided.

FInd our more about the AI Model Review

Find out how Adatis can help with your Data and AI journey.

If you’d like help to harness the power of AI and data science, please contact us on

+44 (0)203 696 9120 or send us a message

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