Michelle Pinheiro's guest appearances

Michelle Pinheiro

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

David Thomas

Scott Wilson

Ben Taylor

Elliot Smith

Scott Taylor

Andrew Bastawrous

Martin Ford

Jonathan Hart

Katrin Schmidt

Christoph Molnar

Dane Hillard

Steve Baxter

Stephanie Kelley

Vladimir Iglovikov

Florian Douetteau

OwlTail

Kathryn Gulifa

In this episode, Felipe is joined by three special guests and pioneers of data and analytics in Australia. In celebration of International Women’s Day 2022 we tackled the trifecta of tough topics in the data analytics community right now – teams, culture, and talent. Often we hear that the data and the tech, even the analytics itself, are the easy part. People, engagement, and culture matter the most. If the shiny tools just sit on a shelf, with a disengaged audience then no one wins. What does it take to turn that around? Right now, we're exploring the limits of organisation-wide data literacy. Inside organisations, we want to change how decisions are made, but as yet it's not clear how much expertise people are willing to acquire as part of their day job. It takes a culture that will encourage and support that growth, teams that can flourish beyond siloes and the ability to find in-demand talent. This show includes such a great discussion full of insight and real-world application. You can catch even more from two of our fantastic guests, Michelle-Joy (MJ) and Kathryn, at our Advancing AI event taking place at the Crown Promenade Melbourne on 6-7 April. Register here to catch up with Felipe, MJ and Kathryn in-person: https://bit.ly/3HL8Iv1 Thanks to our sponsor Talent Insights Group! Enjoy the show. Read the full podcast episode summary here.--- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

In this episode, Felipe is joined by three special guests and pioneers of data and analytics in Australia. In celebration of International Women’s Day 2022 we tackled the trifecta of tough topics in the data analytics community right now – teams, culture, and talent. Often we hear that the data and the tech, even the analytics itself, are the easy part. People, engagement, and culture matter the most. If the shiny tools just sit on a shelf, with a disengaged audience then no one wins. What does it take to turn that around? Right now, we're exploring the limits of organisation-wide data literacy. Inside organisations, we want to change how decisions are made, but as yet it's not clear how much expertise people are willing to acquire as part of their day job. It takes a culture that will encourage and support that growth, teams that can flourish beyond siloes and the ability to find in-demand talent. This show includes such a great discussion full of insight and real-world application. You can catch even more from two of our fantastic guests, Michelle-Joy (MJ) and Kathryn, at our Advancing AI event taking place at the Crown Promenade Melbourne on 6-7 April. Register here to catch up with Felipe, MJ and Kathryn in-person:<a href="https://bit.ly/3HL8Iv1" rel="nofollow" target="_blank"> https://bit.ly/3HL8Iv1</a> Thanks to our sponsor<a href="http://talentinsights.com.au/" rel="nofollow" target="_blank"> Talent Insights Group!</a> Enjoy the show. Read the full podcast episode summary <a href="https://www.datafuturology.com/podcast/182-inspiring-teams-culture-and-talent-with-michelle-pinheiro-acting-global-chief-data-officer-at-anz-kathryn-gulifa-chief-data-and-analytic-officer-at-worksafe-victoria-and-dr-michelle-joy-low-ecjdp" rel="nofollow" target="_blank">here</a>.--- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/datafuturology/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/datafuturology/message</a>

#182 Inspiring Teams, Culture and Talent with Michelle Pinheiro, Acting Global Chief Data Officer at ANZ, Kathryn Gulifa, Chief Data and Analytic Officer at Worksafe Victoria and Dr Michelle-Joy Low, 

Michelle is Head of Enterprise Data Governance at ANZ Bank. In this role, Michelle is responsible for Data Governance strategy across the group, ANZ Data Privacy and Ethics framework, Enterprise Metadata Management, Data Risk and a Centre of Excellence for Data Quality. Michelle has over 25 years of experience in the world of Data and utilizes that knowledge to help foster organized and sustainable large scale analytical environments for commercial success. Michelle has a particular interest in building frameworks for ethical data use by successfully developing ANZ’s principles for Data Ethics. In this episode, Michelle describes the importance of transparency in data ethics. For instance, in the world of insurance, people want to know how their premium is calculated. What information is the company using to calculate the insurance premiums? So, the insurance company needs to explain what information they are putting into the black box. Insurance algorithms for premiums are like the formula for Coca-Cola; no one ever shares it. To combat this, Michelle needed to put herself in the mindset of the customer. Stay tuned as Michelle explains how the customer journey can benefit from data governance. Also, Michelle reveals where she thinks the future of data ethics is going, how data ethics overlaps with data governance, and the ways that consent fits into data ethics.  Quotes:  “I did a lot of work in redesigning documents and determining what information to disclose and that really comes down to transparency and transparency is a big aspect of data ethics.”  “That was a legislation where you actually had to articulate what are the factors, what is the information that you give us that we actually then use to calculate your premium. So it took it from being an enigma to explaining these are the inputs that we put in. And that's got a lot of relevance to today's world with artificial intelligence which is what information are you putting into that black box to then produce the outcomes that are going to impact me. And so I guess that's the genesis of it and that was a really big change in the insurance world because insurance algorithms for premiums are like the formula for Coca-Cola nobody ever shares them anywhere.”  “I'm not shy about saying you know data is not part of the IT world, it's part of the business world.”    Read the full episode summary here: Episode #123 Enjoy the show!    ---   Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

Michelle is Head of Enterprise Data Governance at ANZ Bank. In this role, Michelle is responsible for Data Governance strategy across the group, ANZ Data Privacy and Ethics framework, Enterprise Metadata Management, Data Risk and a Centre of Excellence for Data Quality. Michelle has over 25 years of experience in the world of Data and utilizes that knowledge to help foster organized and sustainable large scale analytical environments for commercial success. Michelle has a particular interest in building frameworks for ethical data use by successfully developing ANZ’s principles for Data Ethics. In this episode, Michelle describes the importance of transparency in data ethics. For instance, in the world of insurance, people want to know how their premium is calculated. What information is the company using to calculate the insurance premiums? So, the insurance company needs to explain what information they are putting into the black box. Insurance algorithms for premiums are like the formula for Coca-Cola; no one ever shares it. To combat this, Michelle needed to put herself in the mindset of the customer. Stay tuned as Michelle explains how the customer journey can benefit from data governance. Also, Michelle reveals where she thinks the future of data ethics is going, how data ethics overlaps with data governance, and the ways that consent fits into data ethics. Quotes: <ul> <li>“I did a lot of work in redesigning documents and determining what information to disclose and that really comes down to transparency and transparency is a big aspect of data ethics.” </li> <li>“That was a legislation where you actually had to articulate what are the factors, what is the information that you give us that we actually then use to calculate your premium. So it took it from being an enigma to explaining these are the inputs that we put in. And that's got a lot of relevance to today's world with artificial intelligence which is what information are you putting into that black box to then produce the outcomes that are going to impact me. And so I guess that's the genesis of it and that was a really big change in the insurance world because insurance algorithms for premiums are like the formula for Coca-Cola nobody ever shares them anywhere.” </li> <li>“I'm not shy about saying you know data is not part of the IT world, it's part of the business world.” </li> </ul> Read the full episode summary here: <a href="https://www.datafuturology.com/podcast/2020/6/30/123-why-we-need-to-focus-on-implementing-data-governance-with-michelle-pinheiro-head-of-enterprise-data-governance" rel="nofollow" target="_blank">Episode #123</a> Enjoy the show! --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/datafuturology/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/datafuturology/message</a>

#123 Why We Need to Focus on Implementing Data Governance with Michelle Pinheiro – Head of Enterprise Data Governance