Streamlining Mainframe Monitoring with Advanced Machine Learning - Mohit Dadu & John Hart, Broadcom

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.

About the speakers:

John Hart:
Over 20 years of teaching mathematics, a PhD in non-commutative algebraic geometry. 3+ years as a Sr. Data Scientist at Broadcom.

Mohit Dadu
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 of mainframe IT operations.

Slides: [ Ссылка ]

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