153 episodes

Designing our Digital Future. With Richard Foster-Fletcher. "How we can make AI and other power technologies work for us, not against us"

Boundless Richard Foster-Fletcher

    • Technology
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Designing our Digital Future. With Richard Foster-Fletcher. "How we can make AI and other power technologies work for us, not against us"

    EP109: Richard Foster-Fletcher and Dr Naeema Pasha: Insights and Observations from Week 39

    EP109: Richard Foster-Fletcher and Dr Naeema Pasha: Insights and Observations from Week 39

    💬 “An organisation should be a learning organisation rather than a knowledge organisation. You see you never really have knowledge; you just acquire things and then they go. But if you're a learning organisation, you have to continually change and adapt. It becomes your nature.” Dr Naeema Pasha

    🎙️ My Friday Co-Host is @Dr Naeema Pasha. She works for Henley Business School partly 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 reactions to this week’s episodes with Celina Lee and Miguel Montero de Quadras. Our topics included:

    💡 1.) AI opportunities in Africa
    💡 2.) the benefit of using AI competitions for problem solving
    💡 3.) Where Africa can leapfrog developments
    💡 4.) creating a learning organisation
    💡 5.) the problems with hoarding data in the enterprise

    • 26 min
    EP108: Miquel Montero, Founder of Atomian: Use AI to make your company more human

    EP108: Miquel Montero, Founder of Atomian: Use AI to make your company more human

    💬 “80% of the knowledge your company has collectively is in documents. Documents describing processes, but also emails, casual conversations and presentations. If you want to be a knowledge driven company, you will have to put all this knowledge into one single place. You might call it a digital brain.” @Miguel Montero de Quadras

    This is a conversation Miquel Montero

    🎙️ Miquel is the founder and former CEO of Atomian and currently its CTO. He is an industrial engineering graduate from the Polytechnic University of Catalonia and he also holds a degree in Software Engineering from the Open University of Catalonia. Miquel began developing the Atomian product while he was still a 24-year old student and worked on it for 18 years. He is a pioneer in cognitive computing and used an original system to reproduce human cognitive processes based on symbols, data structures and algorithms.

    🎧 In this episode, Miquel and I talk about how companies can harness AI to make themselves more human. The emphasis being on both those words. To be more and to be human. He recommends taking care of your admin and repeated processes with automation technologies and then focussing on using AI to extend the reach and impact of your human employees. This is only achievable Miquel says, when you move beyond being an information or a data company to being a knowledge company. When you find a way to digitally collect and harness all the knowledge that your company has and call upon it to make the best possible decisions. He describes this process, like a company having a digital brain.

    • 31 min
    EP107: Celina Lee, CEO of Zindi: Harnessing the crowd for AI solutions in Africa

    EP107: Celina Lee, CEO of Zindi: Harnessing the crowd for AI solutions in Africa

    💬 “We can’t compare someone who has a data science degree from a top university in the US to someone in Nigeria getting their data science degree without consistent electricity. Data Scientists in Africa have different insights to problem solving and when they bring these to a company, to a job, to a team, it’s incredibly valuable.” @Celina Lee

    This is a conversation with Celina Lee

    🎙️ Celina is the Co-Founder and CEO of Zindi, based out of Cape Town in South Africa, Zindi data science competition platform, dedicated to solving Africa’s most pressing problems by bringing together a community of data scientists who collaborate and compete to come up with the best possible solutions.

    🎧 In this episode, Celina and I talk about Data Science and AI projects in Africa. We discuss the unique perspectives that Data Scientists have across the continent and we explore her business Zindi in detail. I’m fascinated by open innovation and by the ways to crowdsource ideas and harness external independent individuals to solve problems. This is for two reasons, the first is that I think more companies will succeed in innovating when they can learn how to fluently access and harness crowd wisdom and because when companies do this, their perspectives will be broader and their biases illuminated and potentially neutralised. Celina is passionate about her work, which actually extends to many countries around the world that contribute to her platform. She has over a thousand data scientists that compete in competitions to solve AI problems. They have a real-time leaderboard for each project to see who is making progress, and to succeed, data scientists team up and collaborate from all over the world. Perhaps with Zindi we are getting a glimpse into the future of work.

    • 29 min
    EP106: Richard Foster-Fletcher and Dr Naeema Pasha: Insights and Observations from Week 38

    EP106: Richard Foster-Fletcher and Dr Naeema Pasha: Insights and Observations from Week 38

    💬 “I think when we look at AI ethics, sometimes we feel it is a simple choice between good and bad, but the choice can be between bad and bad, or good and good. And those are the more complex conundrums where simple solutions or simple slogans aren’t appropriate.” Dr Naeema Pasha

    🎙️ My Friday Co-Host is @Dr Naeema Pasha. She works for Henley Business School partly 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 reactions to this week’s episodes with Stefan Jansen and John MacIntyre featuring Michael Berns and a mention for Kieran Gilmurray.

    Our topics included:
    💡 1.) algorithmic trading and #ESG
    💡 2.) the importance of EQ in finance
    💡 3.) autonomous businesses
    💡 4.) the most useful ways to discuss AI ethics
    💡 5.) thoughts on GPT-3

    • 36 min
    EP105: John Macintyre, Pro Vice Chancellor, University of Sunderland: Making Ethical AI a Reality

    EP105: John Macintyre, Pro Vice Chancellor, University of Sunderland: Making Ethical AI a Reality

    💬 “Most AI is invisible. It's embedded behind software systems like social media or in industrial systems. I think there's a greater public consciousness that AI is ubiquitous, and a growing concern about what this ubiquity will mean for autonomous decision making in and on our lives.”

    This is a conversation with John Macintyre

    🎙️ John is the Dean of the Faculty of Applied Sciences, and Pro Vice Chancellor at the University of Sunderland. He has a PhD in applied artificial intelligence, focussing on the use of neural networks in predictive maintenance. During the 1990s John established a research centre – the Centre for Adaptive Systems – at the University, which became recognised by the UK government as a Centre of Excellence for applied research in adaptive computing and artificial intelligence. He has successfully supervised PhDs in fields ranging from neural networks, hybrid systems, and bioinformatics through to lean manufacturing, predictive maintenance, and business and maintenance strategies.

    🎧 In this episode, John talks about the recent developments in AI that are making the technology broader in capability and wider in scope. He cites the recent GPT-3 release from Open AI as an example. An AI trained on 175 billion data points. John is highly focused on the ethics of AI and so this theme came up many times in our conversation. He talked about the challenges with encoding mortality and the need to slow down sometimes and challenge the work that is going on. John talked about the difficulties we had during the early stages of COVID-19 to make decisions as the data was limited in use. He talked fluently about the types of safeguards and controls that we need in place to use AI ethically, especially as most AI is invisible to the public. We talked about the need for more diversity in AI teams and how this can help with downstream problems like inaccurate facial recognition systems and he drew parallels to the efforts to reduce the impact of man-made climate change.

    • 49 min
    EP104: Stefan Jansen, Founder of Applied AI: Extracting signals from the market (with Michael Berns)

    EP104: Stefan Jansen, Founder of Applied AI: Extracting signals from the market (with Michael Berns)

    💬 “The tone at the investment conferences over the last two years has changed from everybody being super excited to get access to new sources of data, to now, much more focused and critical questions. There’s more demand for demonstrations, people want proof there is value in the data before they purchase it.”

    This is a conversation with Stefan Jansen

    🎙️ Stefan is the founder and CEO of Applied AI. He advises Fortune 500 companies, investment firms, and startups across industries on data & AI strategy, building data science teams, and developing end-to-end machine learning solutions for a broad range of business problems.
    Before his current venture, he was a partner and managing director at an international investment firm, where he built the predictive analytics and investment research practice. He was also a senior executive at a global fintech company with operations in 15 markets, advised Central Banks in emerging markets, and consulted for the World Bank.

    He holds Master's degrees in Computer Science from Georgia Tech and in Economics from Harvard and Free University Berlin, and a CFA Charter. He has worked in six languages across Europe, Asia, and the Americas and taught data science at Datacamp and General Assembly.

    My co-host for this episode is Michael Berns, Michael is a Director at PwC where he leads the AI and FinTech Practice. He is an AI Thought Leader & FinTech Veteran, with 17 years of international experience on five continents.

    🎧 In this episode, Stefan talked about the 2nd edition of his book Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python.

    There’s a significant amount of financial data to incorporate into machine learning models, and Stefan explained how to navigate this so that you can take action and makes decisions in the trading market. Stefan gives a retrospective view of what has changed with machine learning, freely available data, paywalled data and algorithmic trading over the last two decades.
    The new edition of the book looks at modelling historical share prices developments over time to try out prediction models for future changes. Stefan told me that, beyond the trading models, finance generally attracts intellectually curious people, because it's sophisticated, there's math involved and when you add more varied datasets and computer science and machine learning to it, it takes this field of study to a whole new level.

    For example he mentions new data sources such as satellite images that track how busy shopping malls are and the implications of this on retail and real estate share prices. This allows more creativity into this work too, he says. Innovation, technology and books like this from Stefan are enabling more democratic access to and use of information and this is enabling smaller investment shops to be more quantitatively driven. With his book, Stefan is not advocating for automated funds, but to help portfolio managers to be more data driven, systematic and create more sophisticated strategies.

    Finally Stefan talks about the trends in data and how we’ve moved from a data land grab, to more sophisticated questions being asked and more proof of value being sought.

    • 32 min

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