Women in Tech Part 2 with Space Force's Jazmin Furtado and U.S. Army's Kris Saling

Tech Transforms, sponsored by Dynatrace

Apr 20 2022 • 26 mins

Listen in for part 2 of our women's panel with Kris Saling, Chief Analytics Officer for the Army Talent Management Task Force and Director of People Analytics in the office of the Assistant Secretary of the Army (Manpower & Reserve Affairs), and Jazmin Furtado, Liaison at AI Accelerator and Data Strategy Lead at US Space Force. In this episode, Carolyn, Kris, and Jazmin get real about the power of the collective, emerging solutions, and the importance to assess and provide within federal government technology. Episode Table of Contents[00:31] Meditation Is Really Good [07:40] Where Are We Going With AI [13:14] Are Women in Tech Paid Equal Like Their Male Counterparts [20:40] Tell People How Much You’re Making Episode Links and Resourceshttps://www.linkedin.com/in/kristin-saling-a8604b19/ (Kris Saling) https://www.linkedin.com/in/jazminfurtado/ (Jazmin Furtado) https://www.manpower.usmc.mil/webcenter/portal/MRAHome (M&RA) https://www.spaceforce.mil/ (Space Force) https://www.marketconnectionsinc.com/category/client-work/dynatrace/ (Market Connections Survey) Meditation Is Really GoodCarolyn: We are in part two of our women in technology panel, with Kris Saling, Deputy Director of Army People Analytics, and Captain Jazmin Furtado a Data Strategy Lead at the US Space Force and Space Force Liaison at the MIT AI Accelerator. On today's episode, we're going to dive more into government technology in general. I get Kris and Jazmin to do a little fortune-telling on where tech is headed. What advancements they've seen in their careers. And we get real with some salary talk. Just a little reminder, the views of Kris and Jazmin are their own and do not necessarily reflect the views of their agencies. Now let's get to it on Tech Transforms with our women panel. I know that meditation is really good for the monks that live in caves in India. And I know that I should probably do it. Until I saw the science behind it and what it can really do for my brain. I dabbled in it. I never fully embraced it. And once I started understanding why it was working and that there was true science behind it, man, I'm all in. I'm just thinking of just one example of things that are good for me in my life, that I've been able to embrace and bring into my life because I understand them. I understand how they work rather than like you said, Kris, the leadership saying, "No, we don't give a shit about how you got there. Just give us the answer." Make The Process More EfficientCarolyn: But now you're getting people who really want to understand why. I would imagine that the program for the answers that you've been spoonfeeding them. The programs are becoming a lot more powerful and effective. Because the people who are taking those in the past spoonfed answers. Now really understanding them can truly implement them at a level that is a lot more powerful. Is that true? Kris: I would say that's definitely true because we're working on a couple of projects right now where we are trying to integrate machine learning into promotions and selections as a decision support tool. I'd never in a million years, would've thought we'd get a chance to work on that data and introduce something that is an algorithm into a just intrinsically human process. But we have enough people thinking along this vein. We have enough people looking at the data we've collected about how we read records and how we read files. And they're like, "There's got to be an easier way to do this. There's got to be something we can do to support the board, to pull out the key insights. To package them differently, to display them differently, to sort." And they came to us with the question of how can we make this process more efficient? And I just came back with exactly what the computer is supposed to do. It doesn't get tired, it doesn't get bored. Its attention doesn't wonder, and it can read things a whole heck of a lot faster than we can. So let's see how we can...