Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Take the first step now Many organizations have found immediate value in working with logs in Grail.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. This consistency aids not only in application deployment but also simplifies scaling processes. In hybrid cloud configurations, containers can achieve lightweight, portable runtime environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Scalegrid

JANUARY 8, 2024

ScaleGrid offers solutions that address these difficulties by simplifying administration processes in multi-cloud environments and enabling smooth integration among various cloud platforms. Integrating data sources and applications across multiple cloud providers brings about integration hurdles due to the different platforms involved.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

KeyCDN

MARCH 14, 2019

Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. TensorFlow is an excellent tool for making your own machine learning models using just JavaScript, but you can also use services like AWS Rekognition to add image recognition capabilities to your projects with relative ease.

Development 101

Development Blockchain Serverless Social Media 101

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Testsigma

MAY 19, 2021

A process that was developed to automate the processes from build creation to deployment and maybe everything in between. Cloud computing solutions work as a catalyst in this process due to the easily available high processing power of the cloud, resulting in faster deployments. Centralizes the Processes.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

O'Reilly

FEBRUARY 18, 2020

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. But ML/AI-related topics such as natural language processing (NLP, +22% in 2019) and neural networks (+17%) recorded strong growth in usage, too.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108