Solutions Theater Schedule

Thursday, October 29, 2020 | 1:00 – 3:35 pm

1:00pm Building Applications from Scratch with Azure and Cognitive Services

Christos MatskasChristos Matskas, Senior Program Manager,  Microsoft

In this episode, Christos Matskas joins us to share the story of an interesting application he built using the Azure SDKs for .NET and Cognitive Services. We not only get an overview of creating custom vision models, but also a demo of the docker containers for cognitive services. Christos also shares how he was able to leverage .NET standard libraries to maximize code portability and re-use.


1:20 Automating the xOps Life Cycle: Applying AI to the Ingestion, Correlation, and Analysis of Incoming Data Streams

Evelyn-FoxEvelyn Fox, Data Scientist, National Security Solutions, SAS

This session focuses on the application of AI to analytic and operations life cycles through a national security use case developed with SAS® Viya platform technology. Real-time sensor data feeds (video, signals, communications) overwhelm analysts and sensor operators. Current analysis and downlink architecture for these missions are not optimized, costing analysts and organizations time and money. This demonstration uses AI to develop “smart sensors” that alert on activities and prioritize information to enhance analyst workflows.


1:40 HPE Machine Learning Ops

Steve HeibeinSteve Heibein, US Federal AI Lead, HPE

Synopsis: Using HPE ML Ops to Drive Success with AI, interview with Victor Ghadban, Field CTO, AI/ML – HPE (BlueData)



2:00 Using Machine Learning to Protect Veterans

David Gowel, CEO,  RallyPoint


2:20 The Fuel of AI and Machine Learning Training Data

Dave Cook, Senior Director, AI/ML Engineering Services, Figure Eight Federal 

A short insight into the F8F process and some best practices to keep in mind when designing your AI/ML workflows.

2:40 Budgeting, Building & Scaling Data Labeling Operations

Soo YangSoo Yang, Solutions Architect, iMerit

A short insight into the F8F process and some best practices to keep in mind when designing your AI/ML workflows.



3:00 CO-PRESENTATION: Leveraging Predictive Analytics in Government Healthcare

Daniel-BolonDaniel Bolon, Director of Federal Vertical, Altair Data Analytics

James TirbasoJames Tirbaso, Data Analytics Solutions Specialist, Altair Data Analytics

During this presentation, learn how government healthcare professionals can glean insights from existing patient data by leveraging powerful self-service predictive and prescriptive analytics tools in a no-coding environment. Altair Data Analytics' Dan Bolon and James Tirbaso will discuss how to optimize efficiencies and address the most complex problems they face today and in the future


3:20 Meet Gracie: No-code NLP for Content Intelligence & Classification

Liam Kelly, Director, Product Marketing, Topos Labs Inc.

Attendees will learn how non-technical users can create and optimize NLP models quickly without any programming, data science or machine learning skills. What is achieved during this short presentation would take weeks or even months to achieve using alternative solutions. Demo includes creating a document-type classifier, topic dictionary, multi-class classifier, as well as a glimpse at our new Content Risk Dashboard, which provides real-time insights into the risks and liabilities lurking within corporate content.