Artificial Intelligence Efficiency IoT 
DZone
FEBRUARY 2, 2024
In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.
Dynatrace
JANUARY 26, 2021
This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.
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Scalegrid
MAY 13, 2020
Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. Let’s walk through the top use cases for Greenplum: Analytics.
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
The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).
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. AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations.
Dynatrace
NOVEMBER 8, 2021
Artificial intelligence for IT operations (AIOps) for applications. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Application discovery, tracing, and diagnostics (ADTD).
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