Dynatrace

MARCH 26, 2024

The artificial intelligence (AI) age has arrived and the public sector is steadily moving forward with AI advancements. During the university’s last Cyber Beacon conference , organizers presented both a human and an AI-generated abstract for panel sessions. A further 25% plan to deploy in the next 24 months.”

Government 188

Government Artificial Intelligence Energy Education 188

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.

Artificial Intelligence 126

Artificial Intelligence Software Software Testing 126

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 216

Cloud Artificial Intelligence Performance AWS 216

Dynatrace

FEBRUARY 1, 2024

The first use case Reitbauer presented outlines a developer who hears from the database team that a problem might be occurring with the database. 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.

Artificial Intelligence 190

Artificial Intelligence Analytics Efficiency Database 190

Dynatrace

NOVEMBER 6, 2023

Dynatrace is helping enterprises overcome these limitations with new innovative platform features designed to enable businesses to harness the immense opportunities presented by the ongoing digital revolution.

Azure 184

Azure Analytics Artificial Intelligence Innovation 184

Dynatrace

JANUARY 16, 2020

We concluded by suggesting that the fuzziness of machine learning systems presents a fundamental problem for autonomous IT operations. One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis.

Cloud 157

Cloud Artificial Intelligence Virtualization Efficiency 157

Dynatrace

OCTOBER 1, 2019

My favorite slide, that I used in nearly every one of my presentations, is a simple statement; “You have one of the hardest jobs in the world.”. In fact, what I say to most organizations I talk to is this presents them with an opportunity – and one the majority of CIOs have seen. Dynatrace news. So surely, it’s not all complexity.

Cloud 214

Cloud Artificial Intelligence Serverless Government 214

Dynatrace

JULY 6, 2022

Automating IT practices without integrated AIOps presents several challenges. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. The challenges of automating IT and how to combat them. Developing automation takes time.

Artificial Intelligence 193

Artificial Intelligence Tuning Strategy Big Data 193

Alex Podelko

DECEMBER 19, 2019

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 – Another presentation on resource optimization – this one from Salesforce. Performance is not only about response time by Henrik Rexed, Neotys.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Scalegrid

JANUARY 11, 2024

Nevertheless, this integration can present certain challenges to organizations. Addressing Challenges in Cloud Security Monitoring While cloud security monitoring offers numerous advantages, it also presents a few challenges that must be addressed. These include alert fatigue, lack of context, and absence of strategy.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

MAY 27, 2022

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. In a hypothetical scenario Walker and Swofford presented, an enterprise service director needs to access a budget report each month.

Artificial Intelligence 191

Artificial Intelligence Innovation Servers Database 191

Dynatrace

DECEMBER 16, 2019

The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. We’ll also present the case that efficiency alone isn’t the best approach to judging value. What does intellectual debt look like?

Artificial Intelligence 151

Artificial Intelligence Traffic Efficiency Innovation 151

InfoQ

APRIL 15, 2024

The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. 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 101

Artificial Intelligence Big Data Data Engineering Latency 101

All Things Distributed

JUNE 30, 2017

When we set out to build Amazon Connect, we thought deeply about how artificial intelligence could be applied to improve the customer experience. We think artificial intelligence has a lot of potential to improve the experience of both customers and service operations. AI has incredible potential in this area.

Artificial Intelligence 130

Artificial Intelligence Lambda AWS Virtualization 130

Testsigma

MAY 15, 2021

The artificial intelligence algorithm paces up the automation test creation very easily (up to 5 times as claimed by Testsigma ). Features : Perfecto Scriptless makes use of artificial intelligence to adjust the test cases, automatically, when a change occurs which is a plus point during the automation of complex angular applications.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

O'Reilly

DECEMBER 12, 2023

What should copyright law mean in the age of artificial intelligence? These cases often point out that the texts used in training were acquired from pirated sources—which makes for good press, although that claim has no legal value. Copyright law says nothing about whether texts are acquired legally or illegally.

Artificial Intelligence 104

Artificial Intelligence Media Google Processing 104

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

Testsigma

JULY 14, 2020

Once we have test scripts ready, the same test script can take any number of test input, present in the files as test data. In current times data is everything- Big Data, AI (Artificial Intelligence) and ML (Machine learning) endorse this fact with the highest splendour. Reusability.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

ACM Sigarch

APRIL 26, 2018

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. KAIST proposed another NPU, which supported 1bit-to-16bit fully variable weight precision.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

O'Reilly

APRIL 23, 2024

Fast forward to the present, and Amazon has clearly given up on the goal of finding the best result for its users. Closer to the present, risk analysis focuses on social problems like bias, misinformation, and hate speech, or the potential spread of biological and nuclear capabilities.

Social Media 81

Social Media Google Internet Internet 81

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

O'Reilly

APRIL 9, 2024

I’m skeptical, at least for the present.) Nor is cranking out test suites, and if generative AI can help write tests without compromising the quality of the testing, that would be a huge step forward. The important part of software development is understanding the problem you’re trying to solve.

Games 79

Games Programming Testing Code 79

Testsigma

SEPTEMBER 21, 2019

In layman terms, AI or Artificial intelligence is the area of computer science that focuses on making machines “intelligent.” And by intelligence, it means making the system capable of learning and taking decisions like humans. What is AI? Why does Software Testing industry Need AI?

Software 51

Software Software Testing Artificial Intelligence 51

Dynatrace

FEBRUARY 12, 2024

The importance of hypermodal AI to unified observability Artificial intelligence is a critical aspect of a unified observability strategy. The hypermodal AI engine shows what’s happening in a system down to the data coming in, while presenting the information in context. “It’s

Analytics 185

Analytics Artificial Intelligence Engineering Storage 185

CSS - Tricks

MARCH 13, 2019

What must be considered when presenting the images on different viewports? Before delving into them, let’s talk about the multiple options for presenting images so that you can devise a strategy on how and when to deliver and render yours. Are all the images rendered at the same width and height? Jot down your answers.

Media 72

Media Artificial Intelligence Strategy Open Source 72

O'Reilly

OCTOBER 24, 2023

Model collapse presents AI development with a serious problem. This is exactly what the authors of “The Curse of Recursion” described when working directly with generative AI: “the tails of the distribution disappeared,” almost completely. On the surface, preventing it is easy: just exclude AI-generated data from training sets.

Programming 92

Programming Processing Code Artificial Intelligence 92

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. It should offer user-friendly operation. Capabilities for handling diverse data management functions are necessary.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

SEPTEMBER 21, 2022

Tool sprawl and siloed teams also present significant challenges, according to 68% of respondents. Choosing the right platform – one with automation and artificial intelligence at the core – is the next important step. More than half (54%) of respondents reported that too many metrics made finding the relevant ones difficult.

Artificial Intelligence 234

Artificial Intelligence Benchmarking DevOps Engineering 234

Scalegrid

JANUARY 8, 2024

Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles. This evolution presents both opportunities and challenges for businesses, and being prepared for these changes is crucial. These models both offer advantages, while also presenting their unique challenges.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

FEBRUARY 8, 2024

Challenges and Considerations in Distributed Storage Deployment Although distributed storage systems offer significant advantages, they also present distinct challenges that must be addressed. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130

Storage Systems Big Data Azure 130

Testsigma

JANUARY 7, 2022

Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). All this implementation of artificial intelligence has been primarily into the development field. AI is used to predict and present but not to verify the predicted data etc. Signup now.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

O'Reilly

JULY 18, 2023

advisor (and soon-to-be faculty colleague) Philip Guo and I are presenting a research paper at the International Computing Education Research conference (ICER) on this very topic. How should you teach students in your classes knowing that these AI tools are widely available? I’m Sam Lau from UC San Diego, and my Ph.D.

Programming 63

Programming Education Code Strategy 63

Scalegrid

DECEMBER 21, 2023

It provides detailed information about memory utilization as well as presenting visual representations of CPU consumption with little effort required from users. Providing them with clear insights into their system’s performance overall. Setting Up RedisInsight Getting RedisInsight up and running is a simple process.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

DECEMBER 2, 2020

The sheer volume of a modern enterprise’s data presents a challenge to those tasked with monitoring it, says Gartner. Achieving the necessary visibility to find anomalies and reliably identify their ultimate effects can be a task well beyond human ability.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

Dynatrace

DECEMBER 22, 2021

A platform approach, on the other hand, presents a more effective option for understanding observability as a whole. It must provide analysis tools and artificial intelligence to sift through data to identify and integrate what’s most important.

Artificial Intelligence 182

Artificial Intelligence Metrics Architecture DevOps 182

Scalegrid

JANUARY 12, 2024

While managing cloud workloads offers numerous benefits, it also presents several challenges such as security risks, compliance issues, and resource optimization, which can be addressed effectively with tools like ScaleGrid, offering features like encryption, disaster recovery, and real-time resource optimization for diverse databases.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Tech News Gather

NOVEMBER 5, 2023

Additionally, artificial intelligence (AI) tools can be integrated into the vehicle’s systems to find, negotiate, and bargain for the best-priced and highest-value solutions. One approach is to set constraints on the budget for each transaction or over a specific time period.

Blockchain 52

Blockchain Automotive Transportation Energy 52