Our Services.
What MAkes us Different.

How we work

Discover, Build and Scale AI for your business.

HOW WE WORK

Discover, Build and Scale AI for your business.
Data Science - Professionals In Machine Learning, Big Data To Provide Valuable Business Insights

DATA
SCIENCE

Machine Learning & AI - Specialists In Automated Data Solutions & Insights

MACHINE
LEARNING

Data Engineering Service

DATA
ENGINEERING

Data Architecture - Better Understand Your Data With Specialist Data Management

DATA
ARCHITECTURE

Data Visualisation - Specialists In Data Visualisation Tools & The Graphic Representation Of Data

DATA
VISUALISATION

How
We Work

Within our services, we deliver projects in iterative sprints through an agile methodology to help customers focus on delivering benefits and a return on their investment. We recruit teams of highly skilled data professionals from our carefully curated community. Their wide range of sector and technical experience and expertise means that T-DAB.AI has a unique capability to find exactly the right skills to solve any given challenge for our clients.
T-DAB.AI - Data Science & Data Engineering Innovation Agency
Our Approach

We provide an end-to-end service, designed to take you seamlessly from ideation to product. 

Click each phase below to find out more about our service and key deliverables. 

find out how we can work with you.

Our Aim Is To Help You
move your data from
IDEA TO IMPLEMENTATION.

We have designed a framework to help you easily navigate our services and select what you need, when you need it.

Bespoke Package

We create a bespoke package for each client to reflect their needs. We aim to transform the way each business works with the growing volume of data and provide an end-to-end data science service designed to accelerate your ability to make data-driven decisions.

BUILD, TEST & RELEASE

We help formulate business questions and explore and audit client data. We help build data products, test and release them into the wild, adopting a lean start-up philosophy to ensure the success of client data projects.

SUPPORT THAT COUNTS

We provide on-going expertise to run, maintain and enhance data services.

we are trusted by
industry leading
international partners & Clients.

Our
use cases.

CHECK OUT OUR CASE STUDIES TO SEE DATA IN ACTION

interested in getting started? speak with our
world-class team.

Emily Lacey-Boyce

MARCH & APRIL ’23 ROUND-UP!

4 minutes Hello May! As we welcome the new month, we are looking back at the busy and exciting months of March and April. We were so busy in fact, we’ve rolled two months’ worth of roundup material into one. We are nothing but efficient, right? Sit back, relax, grab a coffee, and let’s catch you up on everything we’ve been up to the past 2 months…

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Artificial Intelligence
Emily Lacey-Boyce

T-DAB.AI win Innovate UK Grant for OctaiPipe

2 minutes T-DAB.AI has secured an Innovate UK grant for their OctaiPipe project, which aims to develop a secure and privacy-preserving machine learning platform for IoT and edge devices. The project will focus on four main axes to address vulnerabilities in machine learning for IoT and promote the rapid adoption of OctaiPipe at scale.

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Viewers will hear about: - How tech is transforming the supply chain - Dealing with demand volatility with predictive and prescriptive analytics - The future of supply chain and modern supply chain analytics
Data & Analytics
Eugenio Rampinelli

Supply Chain Analytics for Business Pt.2

7 minutes In the second part of the supply chain analytics for business, we discuss on how tech is transforming the supply chain whilst dealing with demand volatility with predictive and prescriptive analytics
and what the future holds.

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Exploring Supply Chain Analytics for Business
Data & Analytics
Eugenio Rampinelli

Exploring Supply Chain Analytics for Business

6 minutes Now, more than ever, a business’s ability to react to the rapid shifts in the market is dependent on its supply chain and having visibility and insight across the entire ecosystem.

Discover how supply chain analytics can help businesses anticipate shifts in demand, proactively manage their resources, improve efficiencies and address potential risks throughout their supply chain ecosystem.

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AI inside & outside the factory
Artificial Intelligence
Paul Calver

AI inside & outside the factory

4 minutes Manufacturers are resetting priorities around resilience, sustainability and operational excellence. AI & Machine Learning powered technologies are playing a vital part in accelerating capabilities and capture market share.

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Industrialising Machine Learning
Industrial ML
Eugenio Rampinelli

Industrialising Machine Learning II

6 minutes In the 16th episode of the business intelligence report in partnership with Bright Talk, we’ll be taking a deeper look into machine learning solutions, in particular, data-centric machine learning and machine learning pipelines, in conversation with Rajdeep Biswas, Director, Advanced Analytics & Machine Learning at Microsoft and Nik Spirin, Co-founder & CEO at Metapixel AI

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Industrialising Machine Learning
Industrial ML
Eugenio Rampinelli

Industrialising Machine Learning

5 minutes In the 16th episode of the business intelligence report in partnership with Bright Talk, we’ll be taking a deeper look into machine learning solutions, in particular, data-centric machine learning and machine learning pipelines, in conversation with Rajdeep Biswas, Director, Advanced Analytics & Machine Learning at Microsoft and Nik Spirin, Co-founder & CEO at Metapixel AI

Read More »
Data In Manufacturing
digital manufacturing
Paul Calver

The Importance of data in manufacturing

5 minutes Data is at the heart of manufacturing. However, with the advent of digital technologies and AI and ML the collection and use of data has taken on new importance. See how manufacturing is reshaping thanks to data and new technologies

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Predicting UTI Risk in Care Homes
AI in Health & Social Care
Eugenio Rampinelli

Predicting UTI Risk In Care Homes Pt. 2

< 1 minutes This article marks the conclusion of the project, its findings and new potential areas of development. Read the transcript from the episode with Eric Topham (ERIC), Kohdai Komorya (K), Hamid Khandahari (H) and Emily Naylor (E).

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Data Has Gravity
Data Science
Eugenio Rampinelli

Why Data Has Gravity

5 minutes Cognition as a Service (CaaS) with a distributed learning framework for performance, cost efficiency and data privacy

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Ai to fight fake news
Ai & ML Applications
George Hancock

AI To Combat “Fake News”

4 minutes Fake news. We’ve probably fallen victim to it once or twice, and it does a perfect job of illustrating how everyday technology platforms like Facebook can come with a few unintended consequences. We caught up with Inpulsus, a born-digital consulting firm that helps companies transform their marketing to try and answer the question: Can AI combat misinformation on social media?

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Customer Retention and AI
AI in Retail
Eugenio Rampinelli

AI applications in the retail industry

4 minutes Technological innovation and the increasing capabilities of AI are continuously developing to make the retail experience as efficient as possible. How is Machine Learning (ML) and Artificial Intelligence (AI) making waves in retail?

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Supply Chains for 2021
Paul Calver

Supply Chains for 2021

3 minutes Supply chains are incredibly complex, and vulnerable to inconsistencies and inefficiencies. There is great potential for supply chain components to be revolutionised by automated AI

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Machine Learning Procedure - T-DAB.AI
Emilie Werlen

Machine Learning Procedure at T-DAB.AI

5 minutes In a previous article, I described the 4 development standards we developed at The Data Analysis Bureau (T-DAB) for the successful delivery of machine learning projects. It featured a table that listed the components that

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Predicting UTI Risk in Care Homes
Kohdai Komoriya

Predicting UTI Risk in Care Homes

5 minutes Listen to the episode HERE 2021 marks the second year of The Innovation Sandbox and will see us embark on several new projects, as well as some existing projects, with new students, new clients and new partnerships.    The

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Machine Learning and NLP for E-Commerce product description personalisation
The Innovation Sandbox
Lloyd Clowes

ML and NLP for E-Commerce

4 minutes Listen to the episode HERE 2021 marks the second year of The Innovation Sandbox and will see us embark on several new projects, as well as some existing projects, with new students, new clients and new partnerships.   The

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2021 Innovation Sandbox
Eric Topham

The 2021 Innovation Sandbox

6 minutes 2021 marks the second year of The Innovation Sandbox and will see us embark on several new projects, as well as some existing  projects, with new students, new clients and new partnerships.   The Innovation Sandbox is a collaborative initiative at the

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Innovation
Hangming Zhang

Multivariate Time Series Clustering

2 minutes This Multivariate Time Series Clustering project follows the development of a Long Short-Term Memory (LSTM), as part of T-DAB’s Innovation Sandbox, to predict the rudder movements that a sailor would make during a race.  If you’re familiar with The

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How Is AI Enabling Chatbots For Good
Ai & ML Applications
Eugenio Rampinelli

How Is AI Enabling Chatbots For Good?

4 minutes A combination of the sophistication of Artificial Intelligence (AI) technology and a desire to simplify the interaction between humans and computers has led to the

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natural language processing for automatic text summarization
Innovation
Alex Gaskell

Text Summarisation Part 2

3 minutes In this Text Summarisation Part 2 article, I wanted to follow up on my recently published Part 1  on automatic text summarization, the field of

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Employee Mental Wellbeing Analytics
mental wellbeing
Eugenio Rampinelli

Mental Wellbeing at Work

3 minutes Mental wellbeing at work and workplace health have always been important for businesses, but it is only recently that these aspects are being really considered

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natural language processing for automatic text summarization
Alex Gaskell

Text Summarization from the Innovation Sandbox

4 minutes Over the last few years, considerable progress has been made in the field of Automatic Text Summarization- the branch of Natural Language Processing concerned with building programs which can automatically summarize written content. This article, the first of a mini-series on this area, gives a short outline of the field and an overview of some of the leading approaches.

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innovation-sandbox-tdab-lab
Innovation
Eric Topham

T-DAB Lab: Innovation Sandbox

3 minutes In the fast-moving multidisciplinary field of commercial data science and engineering, staying abreast and ahead of rapid technological change is key. T-DAB’s mission is to

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collaboration in technology image - hummingbird sat on a twig
partners
Eric Topham

The Importance of Collaboration in Technology

3 minutes An ecological perspective on collaboration for developing intelligent solutions Unlike the scientific advances of the late 19th and early 20th centuries, the technological developments of the 21st are

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instrinic-clustering-structure-supervised-learning-vs-unsupervised-learning
Machine Learning
Hugo Barbaroux

Supervised learning vs unsupervised learning

5 minutes Machine Learning is all about understanding data, and what can be taught under this assumption. This post introduces supervised learning vs unsupervised learning differences by taking the data side, which is often disregarded in favor of modelling considerations.

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title graphic for setting up a data science environment in azure
Data Science
Roman Kastusik

Setting up an Experimentation Data Science Environment in Azure

7 minutes It can be daunting to navigate different tools and answering a simple question, “where to start?”. If you have some data on your hands and you want to do some data science and you want to do it NOW, this post will explain how to “switch on” the infrastructure you need.

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