136 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
    • 4.4 • 11 Ratings

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

    #135 How AI is Transforming Retail with Khalifeh Al Jadda - Director of Data Science

    #135 How AI is Transforming Retail with Khalifeh Al Jadda - Director of Data Science

    We have Khalifeh Al Jadda, Director of Data Science at Home Depot. Khalifeh has solid knowledge in large scale machine learning and data mining techniques.

    He tells us how in retail some businesses are still running manually, without the use of automation tools, so the job of data science leaders is to educate business partners and show them by example and with data the value that data science and artificial intelligence can deliver to their organizations.

    Later on, he explains their workflow is managed by product managers and starts with the data scientist taking the responsibility of building the machine learning model, training the model, validating it and even going all the way towards testing it. Then, machine learning engineers take over and scale up the code, they clean it, perform unit testing and do everything needed for it to be ready for production.

    Quotes:


    "I started my journey in the industry from that point, which was the first internship I got in 2015. That’s the first advice I give to anyone, if you are in graduate school, if you are a student, make sure to pursue an internship before graduation. It’ll make your life much easier after graduation."

    "It’s been an interesting journey, a great journey. I hope that everyone actually goes through those challenges in their careers, because  it makes you a better and stronger data scientist."

    "You cannot build a team with only computer vision people, or a team with just statistical people. You need to bring people from different backgrounds. That’s what my organization includes. It includes people from all backgrounds."

    Read the full episode summary here: Episode #135
    Enjoy the show!


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    • 56 min
    #134 Empowering Virginians with Trusted Data with Carlos Rivero - Chief Data Officer

    #134 Empowering Virginians with Trusted Data with Carlos Rivero - Chief Data Officer

    In the 6th episode of our “Bitesize Insights for Data Driven Leaders” Series, we have Carlos Rivero, Chief Data Officer at Commonwealth of Virginia.

    Carlos started college wanting to become a civil engineer to help with his father’s business, but later on gravitated towards environmental engineering and ecology given that he lived in Miami and was a witness to the environmental impact on their local marine ecology. Thanks to the advice of one of his professors and mentor, he chose science over engineering.

    For Carlos, it’s very important to bring people together and have them understand the value of the work they are doing, why they’re doing it and the impact it can have on real world issues.

    Quotes:


    "Take money out of the equation and simply focus on what brings you fulfillment and happiness."

    "It became clear to me that I loved working with data and being able to tell stories from those data assets that I was working with."

    "One of the basic things that I really enjoyed about those projects was being of service, because it was not just geographic information science that I was working on, it was really at the service of something larger than that, of something that had potential impact in our social sphere and that to me was extraordinarily appealing and that was a big driver for the impact these projects had on my career."

    Read the full episode summary here: Episode #134

    Enjoy Carlos Rivero in our “Bitesize Insights for Data Driven Leaders” Series!



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    • 27 min
    #133 Importance of Data Translators & Data Foundations: Investing in the 'Golden Record' with Elisa Koch - Head of Data and Analytics

    #133 Importance of Data Translators & Data Foundations: Investing in the 'Golden Record' with Elisa Koch - Head of Data and Analytics

    In the 5th episode of our “Bitesize Insights for Data Driven Leaders” Series, we have our first ever live audience episode with Elisa Koch. She is the Head of Data and Analytics at the AFL - Australian Football League.

    Elisa spent 10 years working for Avon Cosmetics, mostly in Latin America. That’s where she had her first encounter with marketing analytics and she fell in love with data once she discovered the link it has with customer behavior. Elisa shares her take on data translators and how she considers they are the first people you need to hire. Several organizations are not savvy enough to know how to apply their data and that’s why they need data translators to make their data approachable.

    Stay tuned to learn more about Elisa and the work she is doing at the AFL towards merging the sports analytics and marketing data worlds together to better understand their fans and grow their audiences.

    Quotes:


    "When I figured out that you can use data to try to predict what will happen in the future, that blew my mind."
    "Ask questions, be curious, do your research and figure it out."
    "A lot of organizations are not savvy enough to know exactly how to apply data and are even scared of it. The beauty of data translators is they make data approachable."

    Read the full episode summary here: Episode #133

    Enjoy Elisa Koch in our “Bitesize Insights for Data Driven Leaders” Series!


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    • 34 min
    #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!



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    • 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!


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    • 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!


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    • 31 min

Customer Reviews

4.4 out of 5
11 Ratings

11 Ratings

EricQ77 ,

Invaluable information from DS highly skilled professionals

I have been listening to the podcast for nearly two months. The podcast has provided great value and clear insights about DS applications and best practices. I highly recommend it.

CAstaire ,

Great Podcast

I think this podcast is excellent. The host obviously puts a lot of effort into finding professionals from across the data-sphere and the globe. The discussion topics are informative and driving. However, I do believe the host could improve his conversation skills, as the interviews often hit dry periods where engagement is lost for a bit... but I guess you could say that comes standard with long-form interviews... and I know he’s doing this recreationally so... 5 stars! Keep it up and happy honeymoon!

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