Dynatrace

DECEMBER 15, 2022

Cloud operations governs cloud computing platforms and their services, applications, and data to implement automation to sustain zero downtime. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

OCTOBER 1, 2019

As every company, and government department is pushed to digitally transform, accelerate workloads to the cloud, release better software faster, and then ensure it works perfectly across every customer interaction, the challenge to run this software increases exponentially. IT performance problems increase with cloud-native architectures.

Cloud 211

Cloud Artificial Intelligence Serverless Government 211

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. They also aid organizations in maintaining compliance and governance.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Adrian Cockcroft

NOVEMBER 30, 2020

This is becoming topical as governments and public companies around the world are looking for efficient and standardized ways to report their sustainability impact, and investors and asset managers are looking for common datasets and models to base their risk analysis on. Adrian Cockcroft’s architecture trends and topics for 2021 WPS210 ?—?Using

AWS 52

AWS Artificial Intelligence IoT Energy 52

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. That is understandable.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using

AWS 207

AWS Artificial Intelligence Analytics Cloud 207

O'Reilly

APRIL 23, 2024

Patents—exclusive, government-granted rights intended to encourage innovation—protect pharmaceutical companies from competition and allow them to charge high prices. Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. For example, consider drug pricing.

Social Media 108

Social Media Google Internet Internet 108

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. 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.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. Establish data governance. Therefore, it is a necessary component of any enterprise’s cloud journey now and in the foreseeable future.

Analytics 186

Analytics Artificial Intelligence Big Data Open Source 186

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Disadvantages.

Artificial Intelligence 207

Artificial Intelligence Analytics Storage Government 207

O'Reilly

JUNE 20, 2023

Control 2 addresses distributing tamper-evident verification, which can be used with AI to make sure that the right people, systems, or intelligent agents—with the right authorization—are the only ones that participate in governance of or modification to the AI.

Blockchain 79

Blockchain Network Government Programming 79

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. And that’s just the beginning.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21