I recently reacquainted myself with this excellent Executives Guide to AI from our friends at McKinsey & Company. The authors have distilled a complex topic into something easily digestible while avoiding jargon and hyperbole. While not in the CliffsNotes or Bluffer’s Guide category, this Insights article undoubtedly helps the reader
“We are at the cusp of one of the most exciting times in our lives and, if we get our strategy for AI right, then the UK will be able to reap the rewards for our economy for decades to come.” Greg Clark - Secretary of State for Business, Energy
UK government departments and the wider public sector are under huge pressure to improve service delivery and efficiency. We also know that investments in data analytics and data science play a key role in transforming services to help citizens. So what are the key challenges preventing more widespread adoption of
Deloitte’s 2019 Banking and Capital Markets Outlook begins by stating that “a decade after the crisis, the banking industry is on firmer ground.” Shortly after it asserts that “there may be no better time than now to reimagine digital transformation.” Having tinkered at the margins to keep the lights on,
In my previous post, “Why personalising the student experience is critical to higher education’s viability," we examined the role customer intelligence can play in driving value for universities and students across the higher education journey. Specifically, analytics has a vital role to play in helping decision makers, particularly marketers, to
Artificial intelligence and machine learning are words that evoke a sense of inhumanity, of cold and mechanical functions. In reality, AI is coming closer and closer to reaching human understanding through capabilities like deep learning and natural language processing (NLP). With early chatbots, you had to ask exactly the right
Artificial intelligence (AI) offers many opportunities for innovation. It already allows us to improve traffic flows, safely manage large crowds of people at events, analyze automated MRI scans for particular diseases and disorders, and check the effectiveness of treatment. However, new privacy legislation – such as the European General Data
In my first post, I discussed how analytics should play a major role in modern policing to help forces plan for the future and meet the requirements of the Force Management Statement. In my second post, I went on to discuss the importance of police data and data preparation to
In my previous blog post, I introduced the “four pillars of trust” for automated decisions. The key takeaway was that explainability and transparency refer to the entire analytical process. But what about the “black box” of machine learning algorithms? Here, too, the analytical platform must guarantee transparency. The good news
The reach of sports analytics is growing by the day. Increasingly, fans expect access to additional information when viewing their favourite sport. The Premier League has started to provide information about distance run, completed passes and penalty placement history. The Australian Football League shows—on live TV—the heart rate of a
