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Advanced analytics is rapidly increasing in popularity as business leaders look to leverage the advantages that deep insight and more robust decision-making can bring
Disruptive Live’s interview with Alexandre Schneider, CTO at askR.ai, from this year’s Big Data World at the London ExCeL. Co-founder of the first web-based dashboard solution in 2004, Alexandre became Head of Business Intelligence for a famous UK based software group. After 15 years experience in implementing BI solutions and a solid expertise in AI… Read More
Throughout the crisis, organisations across the globe have been forced to operate with their hands tied behind their back. Contracts have been significantly scaled back or terminated, supply chains will have been disrupted and workforces have been trimmed. In light of this, having access to accurate data has never been more critical and for many it has acted as the differentiator between success and failure.
As lockdown measures begin to ease and some industries report the first green shoots of recovery, having access to that same accurate data will be equally critical. The public sector is no exception.
The UK social sector is vast. There are around 170,000 charities and nearly 500,000 social enterprises in the UK. These organisations support millions of individuals and countless communities – yet most of them aren’t making use of data science.
They are limited by a lack of resources, the high expected salaries of data experts, and fears about misusing data. However, some brave organisations are leading the way! Below, we highlight projects by organisations at the vanguard of social sector data use.
Imagine this, if you will. You’ve just bought a new car, it’s the latest model with all the frills. All of these extras make parking a doddle, your emissions reduced and your journeys smoother. You use your car nearly every day from that point onwards. You ignore the engine light when it comes on and don’t get that rattling noise checked out.
Now imagine that your organisation has adopted Artificial Intelligence (AI) tools but doesn’t adopt tools and procedures to care for the data. New cars and AI adoption may be miles apart, but for both to function optimally, correct procedures and routine care are essential.