Stream: Virtual Room 3
Time: 14:00 - 15:00
To meet the business challenges of delivering services in today's hybrid cloud environments, IT operations can no longer simply monitor and react to situations in a war room. Join us to learn how IBM is making enterprises successful in adopting emerging machine learning capabilities to better understand their environments and proactively detect and resolve issues before key business applications are impacted. Gain an understanding of how IBM approaches the data science and process used to gain a deep understanding into multiple IBM Z subsystems and how to detect, visualize and act when anomalous behavior is detected
There is currently no attachment for Proactively Reduce System Issues by Leveraging Machine Learning and Real Time Anomaly Detection
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
Dan Wiegand is a Senior Offering Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning and various analytics technology. In his 23 years at IBM, he has taken multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.
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