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Thursday, August 22 • 1:00pm - 1:45pm
Machine Learning in Practice: Anomaly Detection for Army ERP Data

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Machine learning and artificial intelligence (AI) are two areas that show tremendous potential for a wide variety of use cases, helping to augment, inform, and supplement human processes.  In practice, most companies have fallen short in actually implementing these strategies, since most organizations are still trying to make sense of their data.

However, this doesn’t mean machine learning solutions should be scrapped until your organization’s data is flawless. Instead, machine learning and AI can be used to better understand operational data, uncover the root cause of data issues, resolve existing data errors, and prevent future errors by addressing the source of each anomaly.

In this session, we’ll review a machine learning case study for the Department of Defense. During this project, the team set out to evaluate the potential of machine learning and AI in improving operational data quality and thereby increasing Army readiness. The team launched a pilot analysis and proof of principle to demonstrate how machine learning and AI algorithms, protocols, and methodologies can address known flaws in existing datasets and capitalize on pattern recognition to produce data cleansing models. A progression of analysis and machine learning approaches were leveraged to better understand problematic datasets within the Army’s ERP environment, identify and classify anomalies, and ultimately provide a path to resolution.

During this session, we’ll highlight the machine learning technologies and approaches, both supervised and unsupervised, that were used to best uncover and resolve data anomalies. We’ll also review the anticipated next steps for the Army with AI that are designed to prevent future data quality issues and actively monitor their ERP environment.

Speakers
avatar for Tanya Cashorali

Tanya Cashorali

Founder, TCB Analytics
Tanya Cashorali is the founder of TCB Analytics, a data and analytics consultancy. She leads a world-wide community network of 400 data enthusiasts, has helped universities launch data science programs, and is a frequent speaker at tech conferences. 


Thursday August 22, 2019 1:00pm - 1:45pm
Room 404 595 Commonwealth Avenue, Boston, MA 02215, USA

Attendees (58)