Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

Dynatrace

JULY 7, 2022

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. Think’ with artificial intelligence. This is where artificial intelligence (AI) comes in.

Artificial Intelligence 174

Artificial Intelligence Automotive DevOps Infrastructure 174

Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 193

Government Analytics Benchmarking Storage 193

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Causal AI use cases can complement other types of AI.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

JANUARY 18, 2024

Explainable AI is an aspect of artificial intelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI. Decision trees and dashboards are two common visualization methods that present complex data in an easily readable format.

Artificial Intelligence 206

Artificial Intelligence Healthcare Government Technology 206

Dynatrace

FEBRUARY 1, 2024

Survey data indicates that IT professionals have turned to technology to help them address cloud interdependencies and complexity. Indeed, 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond humans’ ability to manage. Artificial intelligence. Again, survey data supports this trend.

Cloud 223

Cloud Artificial Intelligence Strategy Government 223

Dynatrace

OCTOBER 4, 2023

Data supports this picture. Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. Adopting these capabilities can eliminate manual work and identify cyberthreats that pose risk to data and applications.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. They need automated approaches based on real-time, contextualized data.

Healthcare 221

Healthcare Artificial Intelligence Innovation Strategy 221

Dynatrace

JANUARY 26, 2024

From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. At a foundational level, we must understand what an ideal ZT architecture looks like. States are also looking to implement ZT and are taking their cue from the federal government.

Government 205

Government Artificial Intelligence Innovation Programming 205

Dynatrace

APRIL 21, 2023

Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines. IT staff from different tech disciplines can look at the same data and collaborate,” Smith said.

Innovation 176

Innovation Speed Artificial Intelligence Government 176

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. That’s why teams need a modern observability approach with artificial intelligence at its core. “We

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Dynatrace news. Learn more here. What is AWS Lambda?

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation.

DevOps 261

DevOps Speed Artificial Intelligence Innovation 261

Dynatrace

FEBRUARY 10, 2022

“Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. Consider a true self-driving car as an example of how this software intelligence works.

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Collect raw data in virtual and nonvirtual environments from multiple feeds, normalize and structure the data, and aggregate it for alerts.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

DZone

FEBRUARY 4, 2021

Whether it's a tool to help that developer become more productive or an entirely new way of thinking about the architecture of the project, developers are able to spend more time focusing on the unique parts of our code and focus on that great experience.

Testing 203

Testing Architecture Code Development 203

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. The range of use cases for automating IT is as broad as IT itself.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 107

Artificial Intelligence Big Data Data Engineering Latency 107

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. Of course, this is only true if the native solutions are used within the corresponding environment.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JANUARY 13, 2021

These ratings reflect Dynatrace users’ perspectives on what sets us apart: the ability to tame cloud complexity with an all-In-one-platform built on a unified data model with AI and automation at the core. Dynatrace combines the power of metric data and logs with the internal image of how your architecture looks (as they call it: SmartScape).

Artificial Intelligence 137

Artificial Intelligence DevOps Analytics Innovation 137

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Value creation through data. Strategically, IT doesn't matter.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

Adrian Cockcroft

NOVEMBER 30, 2020

I’m helping manage AWS contributions to the project, as we build an open source data lake and analysis service that can be used to model climate related asset risks for investors. I’m also interested in ways that we can optimize cloud architectures to reduce their carbon footprint. Using open data for sustainable agriculture IOT207 ?—?AWS

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. ML is that part of AI that describes rules and recognizes patterns from large amounts of data in order to predict future data. As a result, there is a critical mass of data available. Because three things are coming together.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Tech News Gather

JULY 18, 2023

All in all, healthcare apps are essential tools that can help doctors streamline their healthcare services and offer patients the flair of well-being in a convenient and accessible way; additionally, contemporary technologies such as Artificial Intelligence and Machine Learning have boosted the efficacy of apps in various ways.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

Abhishek Tiwari

JULY 8, 2023

It is also known as active monitoring or active probing since the agents make active attempts to connect with the target system and collect performance data, regardless of whether real end-users are accessing it or not. Synthetic monitoring offers end-to-end visibility across complex architectures and third-party integrations.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

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. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Grail architectural basics.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

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. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 255

Artificial Intelligence Analytics Metrics Storage 255

O'Reilly

JUNE 14, 2024

Miso’s cofounders, Lucky Gunasekara and Andy Hsieh, are veterans of the Small Data Lab at Cornell Tech, which is devoted to private AI approaches for immersive personalization and content-centric explorations. The platform required a more effective way to connect learners directly to the key information that they sought.

Open Source 79

Open Source Media Tuning Engineering 79

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

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. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181

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. What is a data lakehouse?

Artificial Intelligence 201

Artificial Intelligence Storage Analytics Government 201

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture 224

Architecture Artificial Intelligence Cloud Open Source 224

O'Reilly

OCTOBER 31, 2019

It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. Most of what we do on our computers—fancy graphics, email, databases, building websites, data analysis, digital signal processing—can’t be done with quantum computing.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53