133 episodes

Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace.
As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc.

That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it.

Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science Felipe Flores

    • Business

Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace.
As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc.

That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it.

Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world

    #132 Data For Good, with Chief Data Officer of the City of LA, Jeanne Holm

    #132 Data For Good, with Chief Data Officer of the City of LA, Jeanne Holm

    In episode 4 of our “Bitesize Insights for Data-Driven Leaders” Series, Jeanne Holm is the Chief Data Officer at her hometown, the City of Los Angeles. She works at the cross-section of civic innovation, open data, and education, addressing issues ranging from homelessness to digital equity technology innovation, data and analytics, and public-private partnerships.

    As CDO, Jeanne focuses on taking data, like the number of people trained in the city’s workforce centers or how sustainable their practices are, and making it available and accessible to the taxpayers. To enable this, she works with individuals within the government that are not data scientists, and provides support and data literacy training in order to facilitate their understanding on  how to structure, manage and put context around data. She also cooperates with entities outside the government, like academic researchers, businesses, and advocacy groups who want to use the data but need the information and context around it.

    Quotes:


    "The thing that connects all of these different pieces is wanting to tell stories that help people create different actions."

    "A Chief Data Officer focuses on organising and helping to bring out the data from different parts of the organisation and then either to make it easier to share within the organisation or to also share that out with the public."

    "If you set the directions, set the pace, and support people and are compassionate to their own issues; I think you can build and lead an amazing group of people."


    Read the full episode summary here: Episode #132

    Enjoy Jeanne Holm in our “Bitesize Insights for Data-Driven Leaders” Series!



    ---

    Send in a voice message: https://anchor.fm/datafuturology/message

    • 30 min
    #131 AI & Technology, Key Drivers for Scaling and Optimising the Value Chain with Steve Monaghan – EVP, Chief Digital Officer

    #131 AI & Technology, Key Drivers for Scaling and Optimising the Value Chain with Steve Monaghan – EVP, Chief Digital Officer

    Steve Monaghan is the Chief Digital Officer at Riyad Bank. He has a series of investments in banking and insurance using AI and new technologies in order to improve efficiency.

    He started out as a commercial pilot working 22 hours a day, running the aviation company during the day and flying at night. His first contact with data came when he started using spreadsheets to automate tasks and accelerate the time in which he got them done. His career then moved from flying into technology.

    For Steve, the three core laws of technology that drive data science and AI are:


    Moore's Law: processing power doubles every 18 months for the same cost.

    Metcalfe's Law: the value of a network grows by the square of the network's size.

    Kryder's Law: storage doubles every 13 months for the same cost.

    He believes these 3 laws encompass the ability you have to assimilate learning into knowledge.

    Quotes:


    “What technology does is, it arbitrages time, and you get to live in someone else’s future, which is the most powerful proposition on the planet, and especially what data science enables one to do, is to achieve this at scale.”

    “One of the main problems in data science and analytics is the adoption of the work, the last mile and being able to have the impact that technology promised.”

    “It is all logical, and it is all there , so work it out. Technology and data science is logical, it's only about putting our mindset and attitude towards it and working it out. Because everything we do in the tech space is driven by some level of logic, and if its logical it can be done. Don’t accept your own limitation find a way to work around it.”


    Read the full episode summary here: Episode #131

    Enjoy the show!


    ---

    Send in a voice message: https://anchor.fm/datafuturology/message

    • 59 min
    #130 AI, Ethics and the World of Health Data with Christopher Boone – Global Head of Health Economics & Outcomes Research

    #130 AI, Ethics and the World of Health Data with Christopher Boone – Global Head of Health Economics & Outcomes Research

    Christopher is the Global Head of Health Economics & Outcomes Research at Abbvie, an adjunct professor at NYU Graduate School of Public Service and active board member of several influential organizations.

    He has received numerous recognitions in the past. In 2019 he was named a Top 100 Innovator in Data Analytics, in 2018 an Emerging Pharma Leader and in 2017 he was a Top 40 Under 40 in Minority Health Honoree by the National Minority Quality Forum

    Christopher explains how, in his eyes, all human data is healthcare data, and how excited he is at the applications this data might have if we learned how to analyze it in a better way, given that, currently, only 5% of all the available data is being analyzed. 

    Stay tuned to know how the broad array of experiences he had in organizations like non profits, government and pharmaceuticals helped him learn to think outside the box and gain a broader perspective.

    Quotes:


    "I'm just not feeling it, it's just not meaningful to me and I just want to help people.

    "In my eyes, all data is healthcare data."

    "I think that the problem that we have is we're still in a society where there's fear of the unknown and I also think that in some cases the system is set up to benefit folks from having a level of fragmentation even lack of data quality."

    "You also have to identify what is the benefit or value proposition for each of these individuals or groups within the organisation for them to really buy into it."


    Read the full episode summary here: Episode #130

    Enjoy Christopher Boone in our “Bitesize Insights for Data-Driven Leaders” Series!


    ---

    Send in a voice message: https://anchor.fm/datafuturology/message

    • 31 min
    #129 Entrepreneurship Tips from Australian Shark, Steve Baxter – Partner & Investor

    #129 Entrepreneurship Tips from Australian Shark, Steve Baxter – Partner & Investor

    Steve is an investor, a partner at TEN13, and you may also know him as one of the sharks from the show Shark Tank in Australia. His journey in entrepreneurship and investments began over 25 years ago when he started his first company in the telecommunications area. He sold his second business in 2010 and went on to become an investor. Currently, he has an existing portfolio of over 30 companies.

    He was Queensland Chief Entrepreneur for three years, he does mentorships and is also a qualified pilot. Steve has several investments in the US and he draws a comparison between the start-up scene there and in Australia.

    Stay tuned as Steve shares his life experience and provides both tips and inspiration for anyone thinking of starting their own business or already working in their start-up.

    Quotes:


    “Really bad investments are easy to find… if you can sell to your customers it is a far easier way forward.”

    “If you're doing it and you know it's wrong, stop it and do anything else.”

    “The thing about bad news is when you hide it, it just doesn't get any better.”

    “You're either shooting the lights out or shooting your brains out”



    Thanks to our sponsor:

    We are Rubix.


    Read the full episode summary here: Episode #129

    Enjoy the show!


    ---

    Send in a voice message: https://anchor.fm/datafuturology/message

    • 1 hr 3 min
    Data Futurology Español Ep #1 with Day Manuet

    Data Futurology Español Ep #1 with Day Manuet

    Felipe Flores es director de data science con casi 20 años de experiencia. Felipe ha trabajado en ingeniería de datos / almacenamiento, reportes, inteligencia empresarial, análisis, data science, machine learning e inteligencia artificial. Actualmente es el Director de Data Science en la empresa de Inteligencia Artificial, Honeysuckle Health.

    Mientras que Day es una experta en data science. Durante 15 años, ha colaborado con corporativos internacionales como Colgate, Gillette, P&G, Walmart y Epworth HealthCare para guiar su estrategia de inteligencia empresarial, de mercadotecnia y decisiones operativas mediante el uso de datos.

    Le apasiona todo lo que tenga que ver con datos e insights, es experta en técnicas cuantitativas, cualitativas y analíticas y ha trabajado con bases de datos, inteligencia de mercados, reportes de datos, ciencia de datos, pronóstico de ventas para innovaciones, machine learning e inteligencia artificial.

    En este episodio Felipe y Day nos dan una breve pero integral introducción a que es Data Science. Platican de cómo desarrollar las capacidades de data science en una empresa y la importancia de la cultura para implementar proyectos de datos exitosos. También nos dan tips de como empezar a desarrollar tu Carrera en Data Science entre otros temas fundamentales de Data Science.

    Temas:

    [03:20] ¿Qué es Data Futurology y ¿cuál es su objetivo?

    [07:30] Trayectoria de Felipe Flores

    [16:30] ¿Qué es Data Science/Ciencia de Datos?

    [19:45] Tips para desarrollar las capacidades de Data Science en una empresa

    [24:10] Sugerencias para alguien que empieza su carrera en data science

    [27:20] Como mantenerse al día en el mundo de data science dado el avance de la tecnología

    [32:30] Cómo especializarse en data science si mi carrera no está relacionada en data science

    [34:10] Entendiendo las diferencias de inteligencia artificial, machine learning, deep learning y data science

    [43:10] Cómo interactúa la Mercadotecnia con Data Science

    [44:35] El rol de la cultura en una organización para implementar data science

    [48:00] Tipos de algoritmos

    [53:50] ¿Qué es la minería de datos?

    [55:30] Libros recomendados para Data Science

    Frases:

    “La idea de un científico de datos es poder mejorar el desempeño de una empresa ocupando datos”.

    “Data science no es una caja de pandora sino hay una explicación detrás de cada algoritmo”.

    “El error más común es que la gente espera terminar el proyecto y decirle a un área que le va hacer el trabajo mucho mejor; la gente que tiene que generar el cambio deben colaborar con la gente de data science desde el principio de un proyecto”.

    “Nadie puede mantenerse al tanto de todo lo que está pasando en data science; es importante entender lo fundamentales de machine learning y estadística y con eso cualquier desarrollo que se de en cualquier área y así cuando necesitas aprende en cualquier área”.

    “En general el conocimiento depende de la persona cuando uno se quiere exigir y esforzarse; el conocimiento existe lo más importante es practicar poner los conocimientos en práctica”.

    “Uno puede tener los planes más espectaculares, pero si la cultura no existe nada va a funcionar; la cultura es el ingrediente más importante de data science”.



    Join Data Futurology on Telegram: https://t.me/datafuturology

    Únete a Data Futurology Español en Telegram: https://t.me/df_espanol

    YouTube: https://www.youtube.com/watch?v=WRop1cfFVo8&t=135s 


    ---

    Send in a voice message: https://anchor.fm/datafuturology/message

    • 1 hr 4 min
    #127 Reinventing Prostate Cancer Testing with AI: From Development to Regulation to Production with Elliot Smith – CEO & Founder

    #127 Reinventing Prostate Cancer Testing with AI: From Development to Regulation to Production with Elliot Smith – CEO & Founder

    Elliot Smith is the CEO and founder of Maxwell Plus. A visionary company that has been using machine learning and artificial intelligence to help treat and diagnose patients with prostate cancer. The way they bring in the data, help analyze it and help people along their journey is fascinating and makes them leaders in this specific field.

    Elliot is very passionate about helping others find diseases at a point where they can be treated. To know where things are, if they should be treated and how best to treat them is his ultimate goal in terms of applying data science and AI to the medical world.

    Stay tuned to know how his desire to build something that could be useful in the real world turned into a company with the potential of impacting the lives of over 300 million men that have or are being diagnosed with prostate cancer.

    Quotes:


    When I finished that I sort of came to the realisation that I loved academia, but it was a little bit too slow moving for me. I wanted to be out there building things, putting stuff out into the world and decided to have another run at building a start-up and at the time I happened to know a lot about numerical modelling, optimisation and how that translated into things like AI and also medical imaging and without jumping too far ahead that's the point where all of this came together and the company that I now run Maxwell plus was born in that collision of worlds.
    We looked at their data, we saw something in their data that wouldn't have been picked up otherwise and our doctors said we need to act and with the hindsight of knowing their outcomes we acted at the right time and those people have what is for prostate cancer is 98% 5 year survival rate because we acted in time to avoid that conversation.
    If you have had treatment or you choose to go into what is called active surveillance, which is let’s just watch this and determine when to treat, the algorithm that we apply to do initial diagnosis apply just as well to monitoring your diagnosis over time. How can we then go to provide ongoing support to really see these men through from day one to day infinity and continue to provide real clinical value to these men.


    Read the full episode summary here: Episode #127

    Enjoy the show!




    ---

    Send in a voice message: https://anchor.fm/datafuturology/message

    • 1 hr 1 min

Top Podcasts In Business

Listeners Also Subscribed To