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.
In today’s hyperconnected world, our smartphones have become inseparable companions, constantly gathering and transmitting data about our whereabouts and movements. This trove of information, often referred to as mobile traffic data, holds a wealth of insights about human behaviour within cities, offering a unique perspective on urban dynamics and patterns of movement.
We are excited to announce that our data harmonisation project Harmony has reached the final round of the Wellcome Data Prize in Mental Health.
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.
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.
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.
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.
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.
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?
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.
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.