All Things Distributed
JULY 9, 2020
From the Internet of Things (IoT) to Artificial Intelligence (AI) and task automation to predictive maintenance technology, the advancements in this space are creating a world of new opportunity. Some of their equipment was designed before the internet even existed.
Dynatrace
NOVEMBER 8, 2021
” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. Artificial intelligence for IT operations (AIOps) for applications. The applications being observed may be developed internally, as packaged applications or as software as a service (SaaS).”
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Scalegrid
MAY 13, 2020
It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. At a glance – TLDR.
Dynatrace
JUNE 1, 2020
Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. With intelligence into user sessions, including Real User Monitoring and Session Replay , you can connect experiences to business outcomes like conversions, revenue and KPI’s.
All Things Distributed
DECEMBER 13, 2016
The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.
Dynatrace
JUNE 1, 2020
Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. With intelligence into user sessions, including Real User Monitoring and Session Replay , you can connect experiences to business outcomes like conversions, revenue and KPI’s.
Dynatrace
OCTOBER 1, 2021
Observability is also a critical capability of artificial intelligence for IT operations (AIOps). When an observability solution also analyzes user experience data using synthetic and real-user monitoring, you can discover problems before your users do and design better user experiences based on real, immediate feedback.
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