Please join us on June 6
th, at the Double Tree Hilton in Crystal City for the first annual Diffeo Analytical Tradecraft and Technology Forum where we will discuss how collaborative machine learning is changing tradecraft for exploiting unstructured and disparate data for researchers and analysts.
Agenda
7:30am - 8:00am | Registration and Breakfast |
8:00am - 8:15am | Welcome and Schedule Geoffrey Milstein, VP Federal, Diffeo |
8:15am - 8:30am | Kickoff of Analysis Challenge John Frank, CEO, Diffeo |
8:30am - 9:00am | Leveraging Unstructured Content Recommenders to Accelerate Operations Dr. James Tripp, Technical Director, NSOC |
9:00am - 9:30am | AAA for OSINT Patricia Guitard, Deputy CIO and Senior OSINT Advisor |
9:30am - 10:00am | Coffee Break and Challenge Demos |
10:00am - 10:45am | Analyst & Researcher Panel Session Elmo Wright, Moderator What and Why – Automate – Integrate – Collaborate |
10:45am - 11:00am | Break and Challenge Demos |
11:00am - 11:30am | AAA for the Supply Chain Senior Analyst, AFOSI |
11:30am - 12:00pm | Connecting Names with Deep Learning Dr. Kfir Bar, Chief Scientist, Basis Technology |
12:00pm - 12:15pm | Lessons Learned & Wrap-Up Geoffrey Milstein & Jason Briggs, COO Diffeo |
Wondering what you'll discover at this event? Check out the outline below:
- Learn practical techniques for uncovering connections in unstructured data.
- Explore OSINT challenge problems like the intel bulletins at blog.diffeo.com
- Empowering Analysts through Innovation: Learn how collaborative intelligence is helping all disciplines make sense of ever-growing volumes of data in internal networks and the deep web.
- Human-machine collaboration: Hear from analysts how tradecraft and workflows are changing.
- AI, Automation, and Augmentation (AAA): Join thought leaders from both analysis and algorithms in an in-depth discussion about the dynamic boundaries in this emerging field.
- Tackle the Challenges:
- How do we learn more from publicly available information?
- How do we integrate data from disparate sources?
- How do we develop trust in machines?
- What strategies work for augmenting humans?
