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Grow your business with AI and NLP

Business uses of natural language processing - the 2024 capabilities of NLP
Natural language processingAi for business

Business uses of natural language processing - the 2024 capabilities of NLP

What is NLP in business environments? Natural language processing (NLP) is a branch of AI (Artificial Intelligence), empowering computers to not just understand but also process and generate language in the same way that humans do.

The Impact of AI in the Legal Industry
Legal ai

The Impact of AI in the Legal Industry

We examine the potential influence of machine learning and AI on the legal industry. AI has transformed a number of industries but has not yet had a disruptive impact on the legal industry.

Understanding cities through foot traffic data analytics
Big data

Understanding cities through foot traffic data analytics

How can we analyse and predict pedestrian (foot traffic) data? In today’s hyperconnected world, our smartphones have become inseparable companions, constantly gathering and transmitting data about our whereabouts and movements.

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.

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