Browsed by
Tag: ai

Automation and AI – What does the future of work look like?

Automation and AI – What does the future of work look like?

Our news and activity streams are buzzing with articles, blogs, analyst reports and social media hype around the topic of “AI”. It’s a fairly loosely defined topic that covers an enormous spectrum of disciplines, from big data and predictive analytics, to machine learning, natural language processing, automation and robotics. Depending on who you listen to, it’s either the most important technological breakthrough since the invention of electricity, or it heralds the end of civilisation as we know it! Extreme scenarios…

Read More Read More

KIN Winter workshop 2017: Data-driven decision making

KIN Winter workshop 2017: Data-driven decision making

It’s now just over three weeks to Warwick Business School’s Knowledge & Innovation Network Winter Workshop on the 6th December. An event I’ve been busily planning over the past few months. It’s been a bit of a rocky road finding the right speakers for this event, but I think we’re finally there, and we’ve got a good blend of relevant experts who can talk about the social, ethical, political and economic impact of human-machine (augmented) decision making, and the real…

Read More Read More

Workplace Week Fringe Event: Automation & AI

Workplace Week Fringe Event: Automation & AI

Warwick Business School’s Knowledge & Innovation Network (KIN) and Norton Rose Fulbright (NRF) will be facilitating a breakfast briefing during Workplace Week (13-17th November) on the topic of ‘Automation & AI in the workplace‘. Workplace automation is becoming more widespread, and today’s AI-enabled, information-rich tools are increasingly able to handle jobs that in the past have been exclusively done by people (including tax returns, language translations, accounting, even some types of surgery) – automation is destined to have profound implications…

Read More Read More

Alexa – I think I love you!

Alexa – I think I love you!

Unless you are a technology ‘geek’, most people wouldn’t have paid much attention to ‘bots’ or ‘virtual assistants’ until relatively recently. We’ve seen and maybe occasionally used Apple’s Siri, Google’s Assistant and Microsoft’s Cortana, but their utility was perceived to be limited to doing hands-free searches. How little we knew! The investment in AI, and especially Natural Language Processing (NLP) by the big players, has revealed their true value. It’s slowly dawning on more and more users that these assistants…

Read More Read More

The depreciating value of human knowledge

The depreciating value of human knowledge

Automation is just one facet on the broader spectrum of AI and machine intelligence. Yes, it’s going to affect us all (it already is with the increasing emergence of intelligent agents and bots), but I think there is a far deeper issue here that – at least for the majority of people who haven’t become immersed in the “AI” meme – is going largely unnoticed. That is, the very nature of human knowledge and how we understand the world. Machines…

Read More Read More

Organisational Knowledge in a Machine Intelligence era

Organisational Knowledge in a Machine Intelligence era

A preamble to the KIN Winter Workshop 2016, 7th December 2016. According to Narrative Science, 62 per cent of organisations will be using Artificial Intelligence (AI) by 2018. If you asked most people when they last encountered something that used artificial intelligence, they’d probably conjure up a mental image of robots, and might be hard pressed to think of something in everyday use. Machine intelligence and machine learning – the new synonyms for “artificial intelligence” – are on the rise…

Read More Read More

Big Data, Data Analytics and AI

Big Data, Data Analytics and AI

I was asked by Managing Partners Forum (MPF) recently to give a brief overview of the current status and industry trends in Big Data and Data Analytics, topics I’ve been keeping an eye on for several years. The slides are available on Slideshare. The following is shortened abstract from the presentation. One of the issues I have with with Big Data is just that – the term “Big Data”. It’s fairly abstract and defies a precise definition. I’m guessing the…

Read More Read More