WORKFORCE
about the intent of the idea I was presenting in my slide—more than I knew at the time of submission.
IN SEARCH OF SOLUTIONS
When the DIU product managers came back from the JAIC workshop, they told me they really liked my proposal and suggested that we could start to work on it while I was at DIU. Te first and foremost task was to collect the maintenance data for them to evaluate, and then come to a conclusion on whether we had enough data to develop an artificial intelligence algo- rithm. I gathered data with the help of two experts from the U.S. Army Medical Materiel Agency, and I consolidated the informa- tion and provided it to the DIU product managers. (We are still working on the project, and I’m confident that we are moving in the right direction toward a solution.)
ALMOST FAMOUS During my third week, something even more interesting happened. A FedScoop article published the names of the 2019 DIU HACQer cohort, which totaled eight of us, selected out of 80 applicants. I was almost famous! Tat week, we were invited to attend the Defense Innovation Board’s public listening session on artificial intelligence ethics at Stanford University. Along with being nearly famous and attending the public meetings, I began networking within DIU and was introduced to one of the prod- uct managers from the human systems portfolio. At that time, he was working on the physiological monitor project. (See “In Search of Solutions.”)
At the time I joined, DIU had just awarded a contract to selected vendors to develop individual prototypes based on the problem statement for the physiological monitor. Only a week later, DIU arranged a meeting with the customer and one of the vendors to
During my time at DIU, I was involved in several proj- ects very different from my typical work as an assistant product manager in USAMMDA’s Warfighter Deployed Medical Systems Project Management Office:
Physiological monitor—Naval Air Systems Command wanted to monitor neural, respiratory, circulatory and other physiological functions of airmen in the opera- tional environment, for enhanced individual awareness and more actionable information to support better planning by military decision-makers.
Predictive medicine—DIU leveraged a provision in Title 10 Section 2373 of the U.S. Code called “quick acquisition for experimentation, research and test- ing,” for which the unit wrote the contract to purchase a small number of augmented reality microscopes. Augmented reality enables real-time image analysis and presentation of the results of machine-learning algorithms directly into the field of view. These machine learning-enabled microscopes, as well as an upgrade kit for the existing microscopes, were for experiments to determine whether the enhanced microscope’s deep-learning algorithm could assist pathologists and other medical professionals in diagnosing certain disease states, and to evaluate the impact on pathol- ogist workflow.
Cybersecurity deception—The cybersecurity decep- tion solicitation focused on detecting and alerting unauthorized access or breaches to the deception layer, which is created specifically to deceive an attacker. The intent is to engage the attacker to inform further study of tools, tactics and procedures, and to allow for centrally managed or autonomous manipula- tion and monitoring of post-breach actions.
INQUIRING MINDS
The author, center right, with Maj. David Rothzeid, right, acquisition pathways director, and fellow members of the 2019 DIU HACQer cohort: from left, Denzil Thomas, Jaylene Carteret and Steve Rapp, on screen. (Photo courtesy of the author)
https://asc.ar my.mil
87
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104