π 9/11 was a turning point in the government's willingness to try and use data more effectively.
03:16π« The pandemic has created a significant turn to data and cultural change within organizations.
04:32π Requirements for data are now being driven much more by the business and not just IT today.
05:28 β³There are so many new technologies that exist today that make data analytics more powerful.
08:05 π¨ Moving to the cloud will enable agencies to move faster, remove technical barriers, and enable better data sharing, ultimately increasing the speed of decisions.
09:35π€ There's a vast misunderstanding of AI: building a trustworthy AI pipeline and describing AI in a more tangible way to increase acceptance.
12:11β‘ The world's going to change in the next five years, and AI will be at the center of it.
14:36π€¨ Challenges faced with large-scale implementations of AI and data in the federal government.
15:44π¦ Examples of using data and AI from Arizona and Las Vegas.
16:43π» About younger generations that are being raised with technology and STEM education.
18:20π The gender gap in companies is going to close: The rise of women in technological fields.
22:01π General inequity is being looked at more closely: Interesting use cases of data to drive change.
26:12π Investing in explainable AI, having confidence in data models, and building foundations.
27:59π Data integration across all the silos that exist and creating a centralized data fabric is critical.
30:12π The next level of cognitive capability is coming.
31:51π All the use cases: from IT, through enterprise, government, defense, etc.
33:52πΏ Lesson: "Don't get too far over your skis"
35:251οΈβ£ First step: let's get the data integrated to the point that we can get the data into the hands of the decision-makers.
37:58Connect with Monica McEwen:
https://www2.deloitte.com/us/en/profiles/monica-mcewen.htmlConnect with Mark, Andrew, and Courtney.
Episode 5