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Data Reveal

Data Reveal

Mark Fedeli, Courtney Hastings and Andrew Churchill

Data Reveal is a podcast about why data is remaking our world in its digital image. It explores data literacy and perceptions about data, unique use cases of data analytics across market sectors, and the role of next-level alliances to protect the free world from autocratic regimes.
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Top 10 Data Reveal Episodes

Goodpods has curated a list of the 10 best Data Reveal episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Data Reveal for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Data Reveal episode by adding your comments to the episode page.

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

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👉 Reflection and activation: 20 years after 9/11. 00:35

🧐 Politics is a profound tension, a tension between competing ideals and values. 01:20

💬 Data related to domestic violent extremism.03:12

👋 Welcome, Dr. Daveed! 04:15

🤔 DVE’s are a growing challenge and wrong usage of data. 06:06

🖥️ Daveed and Mark ‘met’ via a counterterrorism blog in 2005. 08:59

😮‍💨 Mark’s experience on 9/11 and the vivid memories that have lasted. 6:48

🏛️ Andrew was at a conference in Baltimore with the Social Security Administration and his work with the government after 9/11. 11:06

✌️ Courtney was a senior in college and eventually began working on interoperability issues that caused the death of so many first responders during 9/11. 12:16

⚖️ Daveed was in law school at NYU, and 9/11 interrupted the course of his life and career. 13:09

6️⃣ A positive outlook: Six things that have gone right tactically after 9/11/2001. 16:15

📱 Post January 6th: the maturation of technologically empowered mobilization. 21:11

🗣️ Social media can be used to not only mobilize movements quickly but also to predict actions and help prevent them. 25:12

↔️ Daveed’s papers and overviews of Militant Anarchism and Anti-Fascism and the Transnational White Supremacist Extremist Movement. 26:30

🇺🇸 Militant anti-fascists and anarchists in the United States and predictions for the future. 29:46

❗ Drifting to extremes: Our reactions are immediate and based on scant information on social media. 31:44

🤓 The quality of the information we all receive: basic critical thinking skills and media literacy are crucial now. 35:39

Articles mentioned:

https://www.fdd.org/analysis/2021/06/14/skinheads-saints-and-national-socialists/

https://www.fdd.org/analysis/2021/06/14/behind-the-black-bloc/

Connect with Daveed:

https://valensglobal.com/who-we-are/#team

https://www.fdd.org/issue/domestic-extremism/

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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👉 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

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⚠️ Reflection after 20 years of 9/11: We are at a time of profound tension. 00:36
🤔 We need outside-of-the-box thinking, but a controversial view of virtually anything in 2021 can cost you your job and professional status, and that is not healthy. 03:30
🗽 Buiding inclusive nationalism and challenges around it: It's important that we have a national identity that we're proud of. 06:01
🤓 Moving forward: the raising of the right values, reducing polarization, diversity, openness within generations, and what are the KPIs? 09:41
😇 KPIs for measuring inclusive nationalism: A sense of national pride and acceptance of people with different views. 12:57
🔊 US-ness as a critical KPI: the noise of data surrounding us is a big challenge to overcome. 15:27
🌞 We need hope, for an inclusive future, for our nation. 18:03
🙌 Takeaways: Ownership, humanizing others, and taking other opinions in. 20:45
🤩Transactional is not the same thing as transcendent. Togetherness isn't just some handout. 25:46

👉 Connect with Daveed:
https://valensglobal.com/who-we-are/#team
https://www.fdd.org/issue/domestic-extremism/

📰 Daveed’s Articles:
https://www.fdd.org/analysis/2021/06/14/skinheads-saints-and-national-socialists/
https://www.fdd.org/analysis/2021/06/14/behind-the-black-bloc/

👍 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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Data Reveal - S1Ep01. Welcome to Data Reveal
play

07/08/21 • 28 min

🤓 Think big, start small and keep asking questions that make you grow. 00:36

😇 The world is being remade in data's image, and we have a chance to remake the world in a more humane image. 02:57

🗽 People across the government are doing useful and important things with data and technology. 06:13

⚡Use cases: Robotic process automation became a hot topic 09:49

🧐 On data literacy and leading organizations from a data perspective. 14:43

⚖️ Balancing risk vs. speed is not much different from risk vs. reward. 18:21

🕵️‍♀️ Is hiding or hoarding your data really moving the mission forward? 21:43

📚 Kevin Hanegan’s new book Turning Data into Wisdom is a must-read. 24:28

👥 Let the data reveal even what is uncomfortable. 27:04

The article mentioned: https://www.nytimes.com/2021/06/24/us/police-resignations-protests-asheville.html?referringSource=articleShare

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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Data Reveal - 00. Introduction

00. Introduction

Data Reveal

play

06/01/21 • 0 min

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🌎 Changes in the data world. 02:46

👉 The great resignation and the talent war are not that surprising. 03:19

🏛️ The federal government is the nation's largest employer. 04:53

📋 A need for a centralized dashboard for both comparison and benchmarking purposes. 06:25

📈 Agencies are not using the same HR systems, and a generalized platform would be beneficial. 07:56

🤔 How to bring a more diverse population into the workforce? 10:23

🧑‍💻 We need to grow and include more digital native Gen Z’s into the government workforce. 12:47

🌊 The wave of the future: being more flexible, allowing remote work, and understanding who Gen Z’s really are. 16:20

👴 “My grandfather's workplace”: looking at the changes in the workforce throughout history and accepting the change. 19:15

🤓 Young people don’t know where to apply for government jobs. 23:44

🧱 Is entering the federal government a brick wall? 27:47

▶️ Andrew is hiring for roles in the Qlik team: the labor market is incredibly tight. 29:55

🦾 Matrix structures vs. stifling outdated policies and criteria: creating new organizational structures 32:04

🕵️‍♀️ Are we identifying data literacy as a skill we need? 36:05

❓ How do we quantify data literacy and segment it? 39:14

🖐 From hierarchical to viral or visual: Five things we all need. 42:46

🤩 Monica wants to inspire individuals to serve a greater good. 44:48

🔗Connect with Monica

Linked In: https://www.linkedin.com/in/monica-breidenbach

🔗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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✅ Jim McHugh’s vast experience. 00:35

🤕 Many government agencies are not ready for AI and ML solutions. 04:09

😳 Real visionaries get frustrated and burned out and resign. 06:38

🚚 Supply chains are being rewritten. 07:44

👔 Not enough leaders are empowered. 11:58

👉 Supply management: a production, information, and financial flow. 13:10

🔧 AI and ML is not a panacea for decision-making; it is a tool that can help. 15:19

🕴️ Need to develop leadership intuition: relying too much on technology to make decisions. 18:50

🤔 Understanding the ramifications of a decision before you make it. 21:15

🤓 Can we capture all of that intuition? 24:15

👨‍🦳👨Multigenerational intuition: Get young people sitting alongside boomers. 25:31

💡 AI and ML are increasing confidence. 27:01

💻 Capturing the gut feel and information in boomers and putting it into the digital footprint. 27:59

🤝 Coaching and AI data as a perfect mix for the younger generations. 29:36

🦅 The driver of change is progress: we have to push forward to make sure the USA is safe. 32:11

😇 Our interaction with data is critical: democratize data science and crowdsourcing. 34:32

🧐 Your data source has to be trusted. 36:20

😎 The wisdom of the crowds: Gen Z's are actively involved in crowdsourcing and reviews. 38:43

🥳 A significant moment in the history of BigBear.ai. 41:27

Connect with

BigBear.ai: https://bigbear.ai/

Jim McHugh: https://www.linkedin.com/in/jamesmchugh/

🔗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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🙅‍♂️ It's not good for capitalism to be filled with false information or even misleading marketing information. 00:35

😮‍💨Jere’s article, negligent behavior towards veterans, and his traumatic experience on 09/11. 03:31

🤯 Taking care of veterans: Effective medicine is being pushed out. 08:40

😢 The suicide rate of veterans is extremely high: 4000 suicides before Veteran’s Day. 11:24

🤓 Studies about MDMA treatment and its effectiveness for helping with PTSD. 13:45

💊 Threat to finances and seeing shifts only when synthesizing herbal drugs is possible. 20:51

✌️ People who are supporting MDMA treatments for veterans. 24:08

🆚 Competition between capitalism and activism. 25:28

😨 Using the data, not the fear: what is the story of the data? 28:01

📂 When data is not aligned with the process. 30:24

🆙 Politics: when there is a will, there is a way. 32:29

🗽 The decision room with all parties involved in the issue: ideas are part of our functioning democracy. 33:54

🐌 Are we using the ground truth to make a decision: Data updates, quality, and handling until it gets into the decision-making room. 36:07

🖱️ Connecting data in one click and solving data loops. 41:07

🛋️ Getting help is needed to get through traumatic experiences. 42:19

🪜 Crossing the last bridge of efficiency: a shift from scarcity to abundance. 46:43

Connect with Jere: www.linkedin.com/in/jeresimpson

Read Jere’s article I’m Not OK: www.linkedin.com/pulse/i-am-ok-need-help-veteransokday-jere-l-simpson-1c

🔗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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🏁 The end of season 01 and our impressions. 00:35

📻 College radio hosts and various topics in our podcast all centered around people. 02:05

🌉 Treating podcasting as a bridge between the human and business sides, not as a commercial. 04:51

🛣️ Daveed Gartenstein-Ross’ episode: a journey into radicalization pre and post 9/11. 06:20

🎯 Discussing the third-rail topics thoughtfully and not provocatively. 07:34

🤓 Chris Wilson and what the word joint means: translator, leadership, and interoperability.

🧐 Monica McEwen and cognitive diversity with machines sitting alongside people, risks, and the stove-piped datasets.

🤯 Defining data literacy as a soft skill and cultural part of it with Monica Breidenbach.11:18

⚡ Femi Ayanbadejo’s fundamental change in data usage: Our health is tied to each other. 18:09 14:15

🧱 Monica Breidenbach: Building the workforce for Gen Z, a digitally native audience. 21:53

🆙 Jim McHugh: true ability and readiness to use the data; organizations must adapt. 26:35

🌝 Two forms of intuition: Jere Simpsons’ innovations, challenging exclusionary structures and going beyond old tools. 31:15

🌞 Ian Mitchell: Living purposefully, fighting fraud, and protecting disadvantaged and vulnerable people. 36:10

🥅 There is evidence everywhere that data impacts our lives; once data reveals the ground truth, we can change the conditions. 37:50

🙃 The Qlik Federal Team has brought out its culture through this podcast. 39:25

🔗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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FAQ

How many episodes does Data Reveal have?

Data Reveal currently has 15 episodes available.

What topics does Data Reveal cover?

The podcast is about Millennials, Society & Culture, Gen Z, Data, Facebook, Podcasts, Technology and Government.

What is the most popular episode on Data Reveal?

The episode title 'S1Ep05. Trustworthy AI and Women in Data with Monica McEwen of Deloitte' is the most popular.

What is the average episode length on Data Reveal?

The average episode length on Data Reveal is 40 minutes.

How often are episodes of Data Reveal released?

Episodes of Data Reveal are typically released every 20 days, 20 hours.

When was the first episode of Data Reveal?

The first episode of Data Reveal was released on Jun 1, 2021.

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