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PagerDuty Operations Cloud Fall Launch 2023 by Inga Weizman

PagerDuty

CIOs have needed to build strategies to mitigate the risk of operational failure and protect their brand’s customer experience. Noise from alerts can be overwhelmingly disruptive. Global Alert Grouping helps centralized IT teams–such as NOCs and SREs–further reduce the noise across services by grouping alerts based on custom rule sets.

Alert 75
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Digital Twins and the Future of Physical Security and Risk Management

Security Industry Association

Today’s technology advances, such as cloud computing, deep learning and IoT, enable the application of enterprise data to mitigate risks and accurately and efficiently manage facilities’ security systems. It also mitigates operational costs associated with outside contractors, errors, rework and compliance breaches.

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PagerDuty Operations Cloud Fall Launch 2023 by Inga Weizman

PagerDuty

CIOs have needed to build strategies to mitigate the risk of operational failure and protect their brand’s customer experience. Noise from alerts can be overwhelmingly disruptive. Global Alert Grouping helps centralized IT teams–such as NOCs and SREs–further reduce the noise across services by grouping alerts based on custom rule sets.

Alert 52
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Five ways to improve campus safety and security

everbridge

School officials, at K-12 and college campuses, need to implement solutions that can help prevent or mitigate the impact of these events. This technology facilitates instant alerts to designated individuals, enabling swift dissemination of crucial information. Validate planning. Drive strong return on resilience investments.

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SIA New Member Profile: IXP Corporation

Security Industry Association

Video surveillance and analytics are crucial in mitigating physical security issues and problems on college, university and medical campuses. Proactive threat identification: Video analytics technology can be utilized to automatically detect and alert security personnel about suspicious behaviors or events.

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What is MLOps and Why Do You Need It?

Advancing Analytics

Data Scientists will be able to track experiments, models and parameters to allow them to benchmark performance against other models or return to previous models. You will want to be alerted when the drift is significant and you may even want to trigger an auto retraining pipeline on the new data.