S1Ep05. Trustworthy AI and Women in Data with Monica McEwen of Deloitte
10/06/21 • 39 min
👉 9/11 was a turning point in the government's willingness to try and use data more effectively. 03:16
💫 The pandemic has created a significant turn to data and cultural change within organizations. 04:32
👔 Requirements for data are now being driven much more by the business and not just IT today. 05:28
⏳There are so many new technologies that exist today that make data analytics more powerful. 08:05
💨 Moving to the cloud will enable agencies to move faster, remove technical barriers, and enable better data sharing, ultimately increasing the speed of decisions. 09:35
🤖 There's a vast misunderstanding of AI: building a trustworthy AI pipeline and describing AI in a more tangible way to increase acceptance. 12:11
⚡ The world's going to change in the next five years, and AI will be at the center of it. 14:36
🤨 Challenges faced with large-scale implementations of AI and data in the federal government. 15:44
🚦 Examples of using data and AI from Arizona and Las Vegas. 16:43
💻 About younger generations that are being raised with technology and STEM education. 18:20
😇 The gender gap in companies is going to close: The rise of women in technological fields. 22:01
📊 General inequity is being looked at more closely: Interesting use cases of data to drive change. 26:12
📈 Investing in explainable AI, having confidence in data models, and building foundations. 27:59
🏭 Data integration across all the silos that exist and creating a centralized data fabric is critical. 30:12
🙃 The next level of cognitive capability is coming. 31:51
🙌 All the use cases: from IT, through enterprise, government, defense, etc. 33:52
🎿 Lesson: "Don't get too far over your skis" 35:25
1️⃣ First step: let's get the data integrated to the point that we can get the data into the hands of the decision-makers. 37:58
Connect with Monica McEwen: https://www2.deloitte.com/us/en/profiles/monica-mcewen.html
Connect with Mark, Andrew, and Courtney.
Mark Fedeli
LinkedIn: linkedin.com/in/markfedeli
Twitter: @markfedeli
Andrew Churchill
LinkedIn: linkedin.com/in/fachurchill/
Twitter: @FAChurchill
Courtney Hastings:
LinkedIn: linkedin.com/in/courtneyhastings
Twitter: @chatrhstrategic
👉 9/11 was a turning point in the government's willingness to try and use data more effectively. 03:16
💫 The pandemic has created a significant turn to data and cultural change within organizations. 04:32
👔 Requirements for data are now being driven much more by the business and not just IT today. 05:28
⏳There are so many new technologies that exist today that make data analytics more powerful. 08:05
💨 Moving to the cloud will enable agencies to move faster, remove technical barriers, and enable better data sharing, ultimately increasing the speed of decisions. 09:35
🤖 There's a vast misunderstanding of AI: building a trustworthy AI pipeline and describing AI in a more tangible way to increase acceptance. 12:11
⚡ The world's going to change in the next five years, and AI will be at the center of it. 14:36
🤨 Challenges faced with large-scale implementations of AI and data in the federal government. 15:44
🚦 Examples of using data and AI from Arizona and Las Vegas. 16:43
💻 About younger generations that are being raised with technology and STEM education. 18:20
😇 The gender gap in companies is going to close: The rise of women in technological fields. 22:01
📊 General inequity is being looked at more closely: Interesting use cases of data to drive change. 26:12
📈 Investing in explainable AI, having confidence in data models, and building foundations. 27:59
🏭 Data integration across all the silos that exist and creating a centralized data fabric is critical. 30:12
🙃 The next level of cognitive capability is coming. 31:51
🙌 All the use cases: from IT, through enterprise, government, defense, etc. 33:52
🎿 Lesson: "Don't get too far over your skis" 35:25
1️⃣ First step: let's get the data integrated to the point that we can get the data into the hands of the decision-makers. 37:58
Connect with Monica McEwen: https://www2.deloitte.com/us/en/profiles/monica-mcewen.html
Connect with Mark, Andrew, and Courtney.
Mark Fedeli
LinkedIn: linkedin.com/in/markfedeli
Twitter: @markfedeli
Andrew Churchill
LinkedIn: linkedin.com/in/fachurchill/
Twitter: @FAChurchill
Courtney Hastings:
LinkedIn: linkedin.com/in/courtneyhastings
Twitter: @chatrhstrategic
Previous Episode
S1Ep04. An Inflection Point in Data with Chris Wilson
Welcome, Chris. 02:20
Chris’s career journey: Joined the army, his time in active duty, and his work with the Threat Reduction Agenecy.03:29
Going to Stratcom, the Missile Defense Agency, USSTRATCOM, and the Qlick Federal team.06:12
Defense industrial base manufacturers ensure supply chains because any issue can cause an immediate impact on real-world missions. 08:36
Experiencing 9/11 at a Superfund site and his unit’s work.10:26
Impactful things after 9/11: the communication expedition for data and communication between federal agencies and across different systems. 15:19
How do you measure interoperability: being able to communicate with the data in different mission sets. 19:51
Having everyone operating from a single source of truth is crucial. 21:50
How do we protect individual rights while protecting the sovereignty of the nation and society as a collective? 24:07
Importance of leadership in bringing data across the multitude of agencies systems and operational domains 30:32
Are we at a point where we can visualize information in these sort of ‘war rooms’ like in the movies? 34:05
Two driving forces are the functionals leading up by highlighting what we don't know and top parts of government leading down by saying, ‘This is where we have to get to.’ 36:30
Suicide and sexual harassment prevention examples. 39:13
Building teams around data and the role of the translator who sits between the data scientist and the business or mission owner. 44:21
From a leadership standpoint if you're going to lead up you want translators on your team. 46:18
Define success: what are you looking to achieve? 47:39
Chris’ AHA moment: Key thing to touch on in the future is data literacy. 49:39
Connect with Chris Wilson
LinkedIn: linkedin.com/in/christopher-wilson-pmp-45993a3
Connect with Mark, Andrew, and Courtney.
Mark Fedeli
LinkedIn: linkedin.com/in/markfedeli
Twitter: @markfedeli
Andrew Churchill
LinkedIn: linkedin.com/in/fachurchill/
Twitter: @FAChurchill
Courtney Hastings:
LinkedIn: linkedin.com/in/courtneyhastings
Twitter: @chatrhstrategic
Next Episode
S1Ep06. A New Self-Health Platform with Femi Ayanbadejo
🤝 How Mark and Femi met. 00:35
🙃 Entrepreneurs, like Femi, give us a different way of looking at disruptions. 01:59
🏈 Femi is a former NFL player. 04:09
☯️ Blending Eastern and Western philosophy and, medicine to maximize his career. 05:17
4️⃣ Four levers of self-health: Survival, information quality, awareness, and traditional health performance metrics. 07:17
🧘♂️Health and emotions are connected: Struggling through anxiety with exercising. 10:09
🤗 “We have the ability to heal others and heal ourselves. And when we don't, we ask for help.” 10:51
🎯 Take care of yourself and then of others: “Self-awareness, plus selflessness equals self-actualization” 13:48
🖐 Five stages of survival: Survive, assess, learn, deploy, and share. 15:21
🤕 Mental health drives everything, and non-addressed trauma creates deeper issues. 18:29
📱 HealthReel app: getting body composition assessment on any smart device and the holistic component. 20:57
👆 We normalize sub-optimal living but in reality, it's not normal. 26:01
👌 Femi has heard it all: myths and issues he is addressing in a 52-week health journey. 26:55
🙅 Giving people information, raw data without education, and entertainment value is not enough. 29:30
😎 Government, military, and corporate fitness all can be addressed with the app: b2b, b2c, and direct to consumer approach. 30:21
💚 Breaking things down on a human level--not an occupational level--to help people be better. 34:17
🤯 Preventing depression, obesity, suicide in the military with data from the HealthReel app. 38:14
⚙️ Focus on the NASA algorithm: body fat and corrected BMI. 40:27
📊 Data literacy and evolution of what types of metrics are acceptable. 41:04
🤩 Empowerment for self-health, through data, is so exciting. 43:24
📱 How to get the app? 46:04
👉 Download HealthReel: www.healthreel.com
🔗Connect with Mark, Andrew, and Courtney.
✅ Mark Fedeli
LinkedIn: linkedin.com/in/markfedeli
Twitter: @markfedeli
🅰️ Andrew Churchill
LinkedIn: linkedin.com/in/fachurchill/
Twitter: @FAChurchill
☑️ Courtney Hastings:
LinkedIn: linkedin.com/in/courtneyhastings
Twitter: @chatrhstrategic
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