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Harmony reaches final of Wellcome Trust Data Prize
Ai in research

Harmony reaches final of Wellcome Trust Data Prize

We are excited to announce that our data harmonisation project Harmony has reached the final round of the Wellcome Data Prize in Mental Health.

Big data consulting - 4 most common problems solved
Big data

Big data consulting - 4 most common problems solved

Organisations of all scales and nearly across all sectors are now becoming increasingly data-driven, especially as larger data storage systems and faster computers continue to push the performance envelope.

Two revolutions 200 years apart: the Data Revolution and the Industrial Revolution
Ai ethics

Two revolutions 200 years apart: the Data Revolution and the Industrial Revolution

Because of the extensive use of technology, and the division of labour, the work of the average gig economy worker has lost all individual character, and, consequently, all charm for the employee.

AI in HR: Transforming the future of work
Ai for business

AI in HR: Transforming the future of work

The impact of AI on human resources The world of work is rapidly changing, both due to traditional data science practices being adopted by more organisations, and due to the increasing popularity of generative AI tools such as ChatGPT, and Google’s BARD among non-technical workers.

Data Science and E-commerce - The 2023 Guide
Ai for business

Data Science and E-commerce - The 2023 Guide

When you shop online from a particular merchant for the first time, you handpick a few items you really like. The successive searches you do to buy again in future reveals a nice selection of products which you both find appealing and valuable.

Data Science and Public Health - 6 impressive applications
Ai in healthcare

Data Science and Public Health - 6 impressive applications

One study estimates that the human body can generate data amounting to 2 terabytes every day. This data may include activities related to the brain, heart, stress, sugar levels, and more.

Data Science and Mental Health
Ai in research

Data Science and Mental Health

Can data science be used to improve mental health? Can we use data analysis to deal with mental health problems like depression and dementia, or to monitor and improve the symptoms of impaired cognitive function, for example?

The workflows and pipelines in ML and AI: Structuring your efforts
Data science project management

The workflows and pipelines in ML and AI: Structuring your efforts

Technologies like Machine learning (ML), artificial intelligence (AI) and natural language processing (NLP) have revolutionised the way businesses gather data, interpret it, and use the insights to improve processes, ROI, customer satisfaction, and other aspects of their business.

7 Things data driven decision making means in practice
Ai for business

7 Things data driven decision making means in practice

Data-driven decision making (DDDM) is all about taking action when it truly counts. It’s about taking your business data apart, identifying key drivers, trends and patterns, and then taking the recommended actions.

Data science at the World Health Summit
Ai in healthcare

Data science at the World Health Summit

This week, at the World Health Summit 2023 in Berlin, Kristy Kade of the US based non-profit White Ribbon Alliance spoke to delegates at a World Health Organization event about the Women’s health and well-being: What do women want?

Healthcare Data Science vs. Healthcare Informatics (and why the difference matters)
Ai in healthcare

Healthcare Data Science vs. Healthcare Informatics (and why the difference matters)

Informatics and data science in any sector, and not just healthcare, are two very distinct fields. While informatics focuses on coming up with systems for the collection, storage, and management of data, data science is all about using the right tools to gain valuable insights through complex analytics.

Should you offshore Natural Language Processing Services?
Data science project management

Should you offshore Natural Language Processing Services?

Offshore natural language processing services – Overview Businesses today are facing fierce competition, not just because of the increasingly challenging global economy, but especially because of the rapidly digitising business landscape.

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