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S1Ep05. Trustworthy AI and Women in Data with Monica McEwen of Deloitte

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Manage episode 304065238 series 2940206
Content provided by Mark Fedeli, Courtney Hastings, and Andrew Churchill. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Fedeli, Courtney Hastings, and Andrew Churchill or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

👉 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

  continue reading

15 episodes

Artwork
iconShare
 
Manage episode 304065238 series 2940206
Content provided by Mark Fedeli, Courtney Hastings, and Andrew Churchill. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Fedeli, Courtney Hastings, and Andrew Churchill or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

👉 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

  continue reading

15 episodes

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