ATARC
The Advanced Technology Academic Research Center (ATARC) is a 501(c)(3) non-profit organization that provides a collaborative forum for government, academia and industry to resolve emerging
Modzy: AI Demo Showcase
On Demand
Presented by:
Modzy
Modzy is the secure ModelOps platform that enables AI at enterprise scale. Modzy solves last mile challenges with deploying, managing, monitoring and securing AI models in production systems, allowing teams to start seeing the real value of AI.
What we are Demoing:
AI offers great potential to enable cost savings, resource efficiencies, and better data-driven decision-making for organizations. Unfortunately, many organizations are struggling to see the return on their AI investments, because no easy way exists to get AI out of the lab into production at scale. Enter Modzy, enabling the secure deployment, management, and monitoring of AI models into production at scale. Watch this demo to see how easy it is to use the Modzy platform to deploy and govern models in production, immediately empowering your teams to turn any tool or application into one that’s powered by AI.
About Modzy:
Modzy™ helps government and private-sector customers meet the challenge of operationalizing artificial intelligence (AI) by enabling rapid deployment, management and monitoring of trusted AI. Modzy’s platform leverages embedded security, proprietary adversarial defense, explainability, and governance features to help customers easily manage and quickly benefit from their AI investments at enterprise scale. Modzy provides a repository that allows you to store, run and govern your own models or access models via our marketplace. The Marketplace offers choice with ready-to-deploy, pre-trained and retrainable AI models from leading machine learning companies and open source communities. This demo includes an overview of the Modzy platform and will showcase how Modzy accelerates the deployment of trustworthy AI while increasing transparency—all while lowering the barriers to adopting and scaling AI.
Find out more at www.modzy.com
Featured Presenters
Supported By
Blue Prism
As the leading provider of Intelligent Automation, Blue Prism Government Solutions (BPGS) helps the intelligence community accelerate their data centric mission
Carahsoft
Carahsoft is a trusted Government IT Solutions Provider working with reseller partners, system integrators, and manufacturers to proving leading IT solutions to government markets.
ClearML
Allegro AI makes ML and DL researchers more effective by giving them tools to manage their own experiments and data. The company’s open source ClearML
Comet
Comet provides a self-hosted and cloud-based MLOps solution that enables data scientists and teams to track, compare, explain and optimize experiments and models.
DataRobot
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.
Datatron
Production AI Model Management at Scale
Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. A single, production-grade environment for all your SAS, R, Machine Learning, and Regression model needs
Modzy
Modzy is the secure ModelOps platform that enables AI at enterprise scale. Modzy solves last mile challenges with deploying, managing, monitoring and securing AI models in production systems, allowing teams to start seeing the real value of AI.
Pactera Edge
Pactera EDGE is a global digital and technology services company. We design, build and optimize human-centric intelligent digital platforms.
Veritone
Transform audio, video, and other data sources into actionable intelligence with Veritone’s aiWARE.
Zorroa
Zorroa’s no-code ML integration platform makes process automations with machine learning APIs from GCP, AWS, and Azure accessible in under an hour. Its platform enables media technologists to stand up rapid-cycle experiments and scale their ML projects without code, data prep, or vendor lock-in.