As artificial intelligence (AI) increasingly makes decisions, there are growing concerns around AI decision-making, and how it reaches its answers. AIs can be complex. Unlike traditional algorithms, AIs do not follow a set of pre-defined rules.[…]
Big data has become big business. IDC has forecast that revenue from the sales of big data and business analytics applications, tools, and services will reach $187 billion (£132 billion) in 2019. The analyst house also recently predicted that the[…]
Recent hype surrounding data science, and in particular artificial intelligence (AI), has led to an increasing number of businesses looking to adopt the technology to improve processes and gain greater cost efficiency. In fact, Accenture Research[…]
Industries underpinned by scientific processes – from pharmaceuticals to oil refining – have seen huge improvements in efficiency from the digital revolution. Labour intensive processes that once required endless experimentation can now largely be[…]
As we continue to move into a more digitally orientated business environment, organisations have an astronomical amount of data at their disposal. Over the next few years businesses will deal with more data than ever before, with IDC predicting that[…]
Artificial intelligence (AI) is going to make our lives easier by automating repetitive tasks, releasing resources to focus on higher-value tasks and removing the subjectivity from human judgement.
It is received wisdom amongst many 'data gurus' that correlation equals insight. And, supporting data gurus in their quest for knowledge are plenty of analytics platforms to spot correlations, hidden relationships, and additional tools to blend data[…]
AI often conjures up an image of an age when machines act like humans. Some find this exciting, others terrifying, but most find it too far fetched to give it serious thought.
Part 2 of 2: The complex relationships between researchers and their data R&D intensive companies are increasingly interested in externalising their research: working with laboratories outside their company walls through commercial and academic[…]
Part 1 of 2: Building the technology to share R&D data without risk R&D intensive companies are increasingly interested in externalising their research: working with laboratories outside their company walls through commercial and academic[…]