Testsigma

FEBRUARY 18, 2020

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. AI evolves basically around 2 stages of the learning process: 1. Artificial Narrow Intelligence. Almost all artificial machines built to date fall under this category.

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Artificial Intelligence Healthcare Programming Logistics 52

Dynatrace

APRIL 22, 2024

Many organizations are turning to generative artificial intelligence and automation to free developers from manual, mundane tasks to focus on more business-critical initiatives and innovation projects. What are continuous integration and continuous delivery?

Software 167

Software Software Artificial Intelligence Development 167

DZone

JANUARY 29, 2024

The emergence of bias in artificial intelligence (AI) presents a significant challenge in the realm of algorithmic decision-making. To overcome this issue, continuous monitoring and validation emerge as critical processes which are essential for ensuring that AI models function ethically and impartially over time.

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Artificial Intelligence Monitoring Processing 161

Dynatrace

DECEMBER 21, 2023

Artificial intelligence is now set to power individualized employee growth and development. IAI can enhance the processes that nurture employee experiences and a healthy and motivated workforce. From performance reviews to goal setting, AI’s analytical prowess significantly streamlines growth and development processes.

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Artificial Intelligence Innovation Tuning Analytics 199

Dynatrace

MARCH 29, 2024

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

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Artificial Intelligence DevOps Strategy Open Source 183

Dynatrace

MARCH 27, 2024

However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

Government 160

Government Network Artificial Intelligence Cloud 160

Dynatrace

SEPTEMBER 5, 2023

As McConnell noted, Dynatrace Grail is a massively parallel processing data lakehouse that enables teams to ingest and store large volumes of data in context and without up-front manual work. Hypermodal AI combines three forms of artificial intelligence: predictive AI, causal AI, and generative AI. Dynatrace Grail.

Cloud 223

Cloud Artificial Intelligence Innovation Azure 223

Dynatrace

FEBRUARY 29, 2024

As digital transformation continues to redefine how the government does business, cloud migrations and artificial intelligence (AI) are playing increasingly indispensable roles. But greater adoption invites greater risks. In a recent Tech Transforms podcast episode, we discussed government digital transformation and AI in government.

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Government Innovation Artificial Intelligence Small Business 172

QAMentor

MARCH 25, 2019

Artificial intelligence is currently being used in an array of sectors, from processing natural language to analyzing facial expressions, and more. However, it’s also important to understand that the capability of artificial intelligence is constantly evolving. It has become more of a buzzword in recent years.

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Artificial Intelligence Software Software Testing 45

DZone

JULY 11, 2023

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. The uses of artificial intelligence are vast and continue to expand across various industries.

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Dynatrace

JANUARY 30, 2024

Is artificial intelligence (AI) here to steal government employees’ jobs? Johnson also shared how his team is using AI to automate certain talent management processes, such as expediting applicant-job matching and aligning training and certification offerings with workforce skill gaps. Can embracing AI really make life easier?

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Artificial Intelligence Government Innovation Tuning 202

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. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns.

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Artificial Intelligence Healthcare Government Technology 213

Dynatrace

APRIL 18, 2024

This real-time awareness enables teams to rapidly detect and resolve issues: both indispensable capabilities for maintaining the agility and reliability that are central to DevOps and platform engineering processes. Moreover, observability is the launchpad for maturing DevOps and platform engineering postures.

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DevOps Engineering Artificial Intelligence Infrastructure 180

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.

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Artificial Intelligence Automotive DevOps Infrastructure 181

Dynatrace

JULY 31, 2023

We believe integrating Rookout into the Dynatrace platform and leveraging the artificial intelligence and automation capabilities Dynatrace is known for will accelerate this mission.

Code 208

Code Artificial Intelligence Government Performance Testing 208

Dynatrace

JANUARY 5, 2023

These are precisely the business goals of AIOps: an IT approach that applies artificial intelligence (AI) to IT operations, bringing process efficiencies. AIOps is an IT approach that uses artificial intelligence to automate IT operations ( ITOps ), such as event correlation, anomaly detection, and root-cause analysis.

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Artificial Intelligence Innovation Technology Technology 147

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. What is business resilience?

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Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

APRIL 3, 2023

In this episode, Dimitris discusses the many different tools and processes they use. When the UK Home Office first shut down these programs, the artificial intelligence-based tools had to adapt to the environment disappearing overnight. Luckily, the AI models have come a long way in learning what happens every evening.

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Efficiency Social Media Artificial Intelligence Cloud 193

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

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Artificial Intelligence Healthcare Retail Government 208

Dynatrace

FEBRUARY 28, 2024

Dynatrace artificial intelligence (AI) -powered root cause analysis brings real-time insights and actionable answers to fix issues, automating operations so the VAPO team can focus on innovation. “We This is a continuous process,” Fuqua said. Your most important end user is the veteran,” he said.

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Monitoring Artificial Intelligence Performance Healthcare 183

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. But up to now, FedRAMP has been viewed as a bottleneck process that delays the delivery of cloud services, which ultimately hurts modernization efforts.

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Government Artificial Intelligence Innovation Programming 213

Dynatrace

FEBRUARY 1, 2024

Artificial intelligence. Organizations need to be able to rely on their AI-enabled processes as they move forward in the cloud and digitally transform. “Digital transformation is ubiquitous,” McConnell said. McConnell noted that AI is becoming as ubiquitous as digital transformation.

Cloud 231

Cloud Artificial Intelligence Strategy Government 231

TechBeacon Testing

NOVEMBER 8, 2021

Applications that use artificial intelligence and machine learning techniques present unique challenges to testers. These systems are largely black boxes that use multiple algorithms—sometimes hundreds of them—to process data in a series of layers and return a result.

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Artificial Intelligence Software Software Testing 126

Dynatrace

JANUARY 23, 2024

Accelerating AWS migration and optimizing efficiency with Dynatrace As many companies embrace cloud modernization and begin migrating to the AWS cloud (or continuing to move existing workloads), complexity can introduce uncertainty into the process. What can we move? What will the new architecture be?

Cloud 212

Cloud Artificial Intelligence Performance AWS 212

Dynatrace

SEPTEMBER 5, 2023

Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity. This data-driven approach fosters continuous refinement of processes and systems. What is predictive AI?

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Dynatrace

DECEMBER 13, 2023

Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces. 7: SIEM will become irrelevant as security teams turn to intelligent threat analysis. Technology prediction No.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

Dynatrace

APRIL 29, 2021

Migrating to cloud-based operations from a traditional on-premises networked system also requires artificial intelligence and end-to-end observability of the full software stack. The ECMA has created “cloud teams” to aid in the application monitoring process. Puckett says.

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Artificial Intelligence Cloud Monitoring Education 140

Dynatrace

OCTOBER 17, 2023

Artificial intelligence (AI) and IT automation are rapidly changing the landscape of IT operations. Intelligent IT automation Key to intelligent IT automation is the ability to generate accurate answers. AI can help automate tasks, improve efficiency, and identify potential problems before they occur.

Monitoring 226

Monitoring Artificial Intelligence Performance Analytics 226

TechBeacon Testing

AUGUST 10, 2021

Artificial intelligence (AI) and machine learning (ML) allow companies to close the testing gaps and are best applied when they augment people’s expertise and capabilities to process real-time data.

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Artificial Intelligence Testing Processing 108

Dynatrace

NOVEMBER 6, 2023

These dynamics orchestrate a multifaceted overhaul of the business terrain, including processes and operations, and require teams to explore new approaches.

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Azure Analytics Artificial Intelligence Innovation 180

Dynatrace

FEBRUARY 16, 2023

That’s why teams need a modern observability approach with artificial intelligence at its core. “We And if you do, and if you have an AIOps engine [which brings AI to IT operations] that enables that process to be effective, then that makes you so much more powerful in the management of that ecosystem.”

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Artificial Intelligence Analytics Cloud Innovation 194

Dynatrace

JANUARY 13, 2022

But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation. To respond to this pressure, DevOps and SRE teams have increasingly adopted DevOps practices so they can deliver better software faster.

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DevOps Speed Artificial Intelligence Innovation 268

O'Reilly

NOVEMBER 29, 2022

Ron Wyden (D-Oregon) introduced a bill requiring “companies to assess the algorithms that process consumer data to examine their impact on accuracy, fairness, bias, discrimination, privacy, and security.” The Center for Applied Artificial Intelligence at the University of Chicago Booth School of Business , ?

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Social Media Artificial Intelligence Media Government 113

Dynatrace

FEBRUARY 1, 2024

The Dynatrace composite approach to AI thus keeps applications secure while allowing organizations to reap the benefits of artificial intelligence in a variety of use cases. “Dynatrace observes these applications that have been created with or augmented by generated code.”

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Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

NOVEMBER 5, 2023

Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible. The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps. So, what is ITOps?

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Artificial Intelligence DevOps Hardware Virtualization 203

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

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Artificial Intelligence Tuning Strategy Big Data 189