Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

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. This data lands in its original, raw form without requiring schema definition. Support diverse analytics workloads. Massively parallel processing.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. Artificial intelligence for IT operations (AIOps) for applications.

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Why cloud-native applications make APM challenging. Cloud-native apps also produce many kinds of data.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108