The independent community for disruptive business and technology leaders
China has one of the largest and most diverse customer-bases in the world: how does this major Chinese technology firm do it? Controlling complexity: with a customer base of billions, how does your business adapt?
The way we consume information has changed for good. What does this mean for businesses? Social media and mobile have fundamentally changed how consumers connect with one another and perceive the world around them. How has this influenced how consumers interact with brands and make their purchasing decisions?
After the 2016 ‘neural net’ breakthrough, sophisticated AI is starting to find its way into business. Examples ahoy.
Will AI impact the evolution of our species?
How will smarter technology fundamentally change how businesses and our society is organised?
Quantum Computing represents a step change in the capabilities of cyber attack technology. This means that when quantum arrives, your security team had best adapt immediately. If the enemy emerges with Gatling guns; your muskets will not be enough. Find out how you must prepare, here.
At its simplest level, Enlightenment 2.0 is a change in the way we think. We’re now dealing with the all-knowing customer. And we’re dealing with highly-sceptical customers. As individuals, we have to be more critical than ever of what we hear. This has profound implications for how we think, and how we educate. What are the main veins of change?
There are two ingredients to have a product-market fit, and each is useless without the other. We talk through anecdotes of product-market teething problems. Why are products successful in some markets, but fail in others?
It’s Baudrillard or bust: online representations threaten to render the world a simulation. Your customers live in a world of representations, and dissect the information as a means of distributing truth. Post-truth means post-trust too.
What’s “authentic” in this era? Does your brand stand up to that test? Do you even believe in this session?
Bring a story, and we’ll tell no-one... we hear some of the best and worst stories about customer data. We’ll answer: how do you minimise risk in customer data? What are examples of customer data going badly wrong? Where are the risks on your end-to-end chain of customer data? And how do you make sure you’re GDPR compliant before there’s been any precedent?
Who has a team only in London anymore? Businesses now need offices around the world: Dubai, San Francisco, Beijing, New York, Edinburgh, Paris, Tel Aviv… But that brings with it a real management challenge. As we work around the world (or from home, but 10 miles away) how do we overcome that challenge? And what are the advantages of a global office? What extra efficiencies can it bring?
New threats, challenges and opportunities arising from digital. Autonomous weapons - ethical concerns around this. New cybersecurity threats from Russia specifically. How is the army innovating to combat these challenges?
Meet robots which can see, hear, and make decisions.
What kinds of data analytics are appropriate for you? Is it a neural net? Is it a data analytics team? And if so, what kind of data scientist is appropriate for you? Talk to a data scientist and AI expert who can identify the most appropriate strategy. What are the challenges to implementing data science on a large scale in your business? How is your data science function great, and how could you make it better?
Business is fundamentally a system; a series of inputs and outputs. Where everything is measurable, everything can be corrected and optimised. We look at case studies of smart optimisation in a world of measurable devices: RPA and IoT.
Some journalists have called neural nets “machine laundering for data bias”. Others have shown that they will revolutionise healthcare and provide jobs. We go through examples of where the most powerful AI technology is going wrong, and going right. What’s the roadmap for delivering AI in your business?
The commoditisation of data has taken on a geopolitical dimension. Now, data law is big game. Copyright law could be next. We team up with an insider from the UK’s legal world to examine some of the precedents of interpretation of GDPR, and to ask, with the EU days behind us, what will the regulatory scene in technology look like?
The notion: “Platforms are responsible for the content which gets posted on them. They should act to ban bad content.” Are platforms civilisations, to which ideas like free speech should apply? Or are platforms publishers, and thus responsible for the content posted on them?
How are advancements in technology changing the world around us today? How can technology help us lead healthier, longer lives? Will space become our future vacation spot?