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Jul 17, 2020
EP75: Richard Foster-Fletcher, Digital Strategist: Insights and Observations Week 29: Distributed intelligence and personalised learning
Play episode · 7 min
More episodes from Boundless
2 days ago
EP121: Richard Foster-Fletcher and Dr Naeema Pasha: Insights and Observations from Week 43
💬 “It's not always about what you get back for sharing your company data. Take energy distribution, for example, it’s vital that a number of key companies share their EV data with the grid and that this trusted ecosystem of shared data becomes a new baseline of doing business.” @Richard Foster-Fletcher 🎙️ My Friday Co-Host is Naeema Pasha. She works for Henley Business School focussing on future strategy, vision and operations of business education. Everything from people engagement to tech adoption. 🎧 In this episode Naeema and I discussed our insights and observations prompted by this week’s episodes with @Scott Taylor and @Edosa Odaro. Our topics included: 💡 1.) data use in the enterprise; a massive opportunity or a mirage 💡 2.) using data to strengthen democracy and trustworthiness 💡 3.) how we can encourage data sharing within trusted ecosystems 💡 4.) the origins of the phrase ‘data is the new oil’ 💡 5.) creating a culture of trust
4 days ago
EP120: Edosa Odaro, Chief Business Officer at Theory+Practice: Culture, Transparency, AI. In that order.
💬 “We need to be mindful as leaders in organisations deploying AI, that if we're doing something that we don’t feel good telling our mum's about, then there's a very good chance that that thing is not right.” Edosa Odaro This is a conversation with Edosa Odaro 🎙️ Edosa is a global cross-industry leader currently serving as Chief Business Officer at Theory+Practice. He is passionate about deploying effective AI and data solutions, about applying behavioural economics for solving complex real-world problems and most of all about developing services that predetermine the actual return for his clients on their Data, AI & Technology investments. In a previous role, he was a Head of Data at the world's second-largest financial services company and responsible for driving significant people, data and cloud transformation. 🎧 In this episode, Edosa talks about the reaction from the general public to problems that occur when we cede control to machines – from autonomous vehicles to recommendation engines. He explores the reasons why we find harm caused by machines so distasteful, even when on balance they make our safer and less accident-prone. Edosa talked about whether these challenges around perception are better addressed through machine and AI explainability or by creating a culture of openness and transparency in the businesses that create the technology way before any incidents happen. This led our conversation onto trust and what that means for a modern business that deploys frontier technologies. Edosa explained that there’s still too many examples of where we are coding bias into our AI models, albeit this is usually an intended consequence, it’s still a reminder of how far we have to go in a field of technology that prioritises scale and impact. We also delved into the push and pull options available to retailers based on how they can incentivise or penalise certain customer types based on shopping habits, such as those that are heavy returners of goods such as fashion. Edosa was kind enough to explore a couple of examples that I presented based on the hospitality industry. Finally, I asked Edosa my quick-fire AI questions, which you may enjoy hearing his answers to.
6 days ago
EP119: Scott Taylor, The Data Whisperer: Telling a better data story
💬 “Untethering data from technology, I believe, is one of the most important organizational changes that is happening. And that’s because data is not based on software, it's not based on technical aspects, it's based on how it helps the business” Scott Taylor This is a conversation with Scott Taylor 🎙️ Scott, The Data Whisperer, has helped countless companies “calm data down” by enlightening business executives to the value and power of proper data management. He focuses on business alignment and the “strategic WHY” rather than system implementation and the “technical HOW.” As Principal Consultant for MetaMeta Consulting, he helps Enterprises and Tech Brands tell their data story. As a recognized influencer and subject matter expert in the data management space, he has worked with global enterprises by representing some of the world’s most iconic business data brands including Dun & Bradstreet, Nielsen, Microsoft and WPP/Kantar in a variety of strategic marketing, go to market, innovation and consulting roles. 🎧 In this episode, Scott talks about how the world changed when someone thought to put the word big before data, he describes the fall out of confusion and bright shiny object syndrome that ensued. I asked him how companies are doing in the basics, the basics of organising, structuring and understanding their internal data so that downstream projects can be successful, such as an internet of things strategy, or an AI project. Scott talked about whether it’s wise to try and monetise your data by selling it to third parties, and whether it’s better to have a data leader in your organisation or to spread this knowledge and responsibility across the business. Sometimes, he says, the Chief Data Officer is quite as chief-like as it may sound. But it still might be a route into the CEO role in the future. But Scott warns, these prospective CEO’s from the data division will have to learn how to successfully tell business stories, which means they need to know and talk the business language. Technical language won’t cut it. And they need to remember that they’re competing for attention and budget with the Chief of Sales and the Chief of Marketing, two leaders that tell stories for a living. Finally, Scott told us about the success of his puppets of data and the impact they have had on his story and his social influence and he explained the meaning of his moniker ‘the data whisperer’.