Dynatrace

MARCH 22, 2023

For these, it’s important to turn off auto-completing forms, encrypt data both in transit and at rest with up-to-date encryption techniques, and disable caching on data collection forms. In addition, analyze data from a unified observability view that provides contextualized application security analytics.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

FEBRUARY 8, 2024

Nevertheless, strategies like using content delivery networks (CDNs), implementing effective caching mechanisms for data retrieval efficiency, refining network traffic routing methods, and incorporating compression technologies can help overcome these obstacles.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). interactive AR/VR, gaming and critical decision making).

Wireless 54

Wireless IoT Analytics Architecture 54

Abhishek Tiwari

DECEMBER 27, 2017

In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49