September 21-22, 2022 | In-person + Virtual
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Wednesday, September 21 • 11:40am - 12:10pm
Streamlining Mainframe Monitoring with Advanced Machine Learning - Mohit Dadu & John Hart, Broadcom

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Digital transformation, microservices architecture and hybrid solutions spanning from cloud to mainframe are making IT monitoring a challenging task in an environment when operations are expected to do more with less. To handle such complex scenarios, ML algorithms like Anomaly detection boosted the confidence of IT operators in the last few years. Now it’s the time to look beyond and discuss how anomaly detection can be augmented with other advanced machine learning approaches to provide a precise monitoring solution for ever-growing complex IT environment.

avatar for Mohit Dadu

Mohit Dadu

Senior Manager, Data science & Engineering, Broadcom
Over 18 years of experience in leading & building enterprise software solutions for Fortune 500 customers. At Broadcom, managing the team of data-scientists and software engineers to research, design & develop intelligent solutions for mainframe systems that can simplify the life... Read More →

John Hart

Data Scientist, Broadcom/MSD
Over 20 years of teaching mathematics, a PhD in non-commutative algebraic geometry. 3+ years as a Sr. Data Scientist at Broadcom. I love to learn, whether it be something new in category theory, a new machine learning architecture, graph theory, or the best place on the lake to catch... Read More →

Wednesday September 21, 2022 11:40am - 12:10pm EDT
Boyer Hub