Welcome to T-DAB Blog & Features

Discover the latest ideas, advances and technological developments in the ever-changing world of data science. Our talented team of data scientists, engineers, and analysts offer their insights and thoughts across a range of topics including machine learning, data engineering, deep learning, data visualisation and much more.

Our features cover how cutting edge technology and research in these areas are developing and being applied to real industry challenges, and analyse how investing in data science can benefit business efficiency and turnover.

As a specialist machine learning innovation company, we continually collaborate with business partners and freelance data science professionals to help deliver the highest-quality solutions to industry challenges. This is the cornerstone of our Innovation Sandbox programme, which focuses on bringing talented people and ideas together to produce the best results for our clients. We believe in sharing knowledge and ideas with the science community so others can develop and the industry can benefit from our projects and findings.

Explore our project case studies to find real, in-depth examples of our pioneering work in developing successful solutions in machine learning, deep learning, AI, predictive maintenance, big data, and more, across a range of industries.

For more information about how our data science specialists at T-DAB can help solve and deliver unique solutions for your business, please do not hesitate to reach out to our friendly team of specialists today.

Browse our archive of articles below to learn more about data science developments and ideas now.

Data & Analytics
Emily Lacey-Boyce

Summer Round up 2022

Welcome to the latest instalment of our blog series, a monthly newsletter where we look back at the highlights of the month and share what’s coming up next!

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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

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

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

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

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

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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Data In Manufacturing
digital manufacturing
Paul Calver

The Importance of data in manufacturing

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

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

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”

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

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

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

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

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

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

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

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?

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

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

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

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

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

Supervised learning vs unsupervised learning

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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IOT Solutions World Congress
Artificial Intelligence
George Hancock

Insights from IOT Solutions World Congress

How does Machine Learning play a part in the IoT solutions ecosystem? Explore our insights from the event & take inspiration from partner solutions and their journeys to the IoT Solutions World Congress 2019.

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