Dynatrace

AUGUST 23, 2023

Tracy Bannon , Senior Principal/Software Architect and DevOps Advisor at MITRE , is passionate about DevSecOps and the potential impact of artificial intelligence (AI) on software development. However, AI is a relatively new technology. The necessary documentation for institutional knowledge transfer does not exist.

Artificial Intelligence 173

Artificial Intelligence Innovation Tuning DevOps 173

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 192

DevOps Engineering Artificial Intelligence Infrastructure 192

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.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

JANUARY 26, 2024

At the recent United States Public Sector user group, Dynatrace gathered government leaders and partners to discuss a range of technology topics. From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. This too will expand the marketplace.

Government 215

Government Artificial Intelligence Innovation Programming 215

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 262

Innovation Software Software Artificial Intelligence 262

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Generated code becomes less maintainable.

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 195

Energy Artificial Intelligence AWS Lambda 195

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. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 270

DevOps Speed Artificial Intelligence Innovation 270

Dynatrace

NOVEMBER 6, 2023

Dynatrace provides improved visibility into the code running the OneStream platform on Microsoft Azure, enabling our engineering teams to constantly improve the user experiences our customers have grown to trust,” said Ryan Berry, SVP of Architecture at OneStream. “The

Azure 182

Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. What is AIOps?

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AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. Dynatrace news.

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Artificial Intelligence Java Strategy Cloud 182

Dynatrace

FEBRUARY 10, 2022

As a result, modern observability has become a key technology to enable enterprise success as companies digitally transform. And it is fueled by AIOps, or artificial intelligence for IT operations , which provides contextualized data—without the time-consuming need to train data with machine learning.

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Artificial Intelligence Performance Innovation Speed 187

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Application Insights – Collects performance metrics of the application code. Dynatrace news. Hybrid and multi-cloud platform –.

Azure 138

Azure Artificial Intelligence Metrics Innovation 138

O'Reilly Software

AUGUST 29, 2018

The O’Reilly Media Podcast: Daniel Krook, IBM developer advocate, on the Call for Code Global Initiative at IBM. In an effort to help the communities of the world be better prepared to handle these tough situations, David Clark Cause launched Call for Code along with IBM as the founding partner.

Code 80

Code Artificial Intelligence Development Logistics 80

The Polyglot Developer

JUNE 3, 2019

Amazon and a lot of cloud vendors such as Microsoft and Google have services around machine learning (ML), artificial intelligence (AI), and virtual assistants. If you’re coming from an Amazon Alexa background, the concepts will be similar as AWS Lex shares the same deep learning technologies.

AWS 97

AWS Artificial Intelligence Virtualization Google 97

Dynatrace

NOVEMBER 8, 2021

Artificial intelligence for IT operations (AIOps) for applications. The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail. Gartner evaluates APM solutions according to these three functional dimensions: Digital experience monitoring (DEM).

Artificial Intelligence 234

Artificial Intelligence Monitoring Infrastructure Cloud 234

Alex Podelko

DECEMBER 19, 2019

So here is the list of 21 sessions on my “to attend” list (check the full agenda as you may be interested in another topics and technologies – and there many more great sessions there) – in the same random order they are in the list of sessions). – Application of Artificial Intelligence to operations – as done at Mastercard.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Testsigma

MAY 15, 2021

Scriptless testing tools or codeless testing tools convert the easy-to-understand-to-human-eye instructions written by the team into code behind the scene. The artificial intelligence algorithm paces up the automation test creation very easily (up to 5 times as claimed by Testsigma ).

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

Official Blog - World Web Technology

NOVEMBER 19, 2023

By partnering with a web development company, businesses can leverage the skills and experience of developers who are well-versed in the latest technologies, frameworks, and design trends. Sign non-disclosure agreements (NDAs) and make sure the deal clarifies who owns the code and other assets. Conclusion!

Development 59

Development Best Practices Website Artificial Intelligence 59

Testsigma

DECEMBER 20, 2019

Testing continued to evolve, and it took advantage of technology innovations. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. trillion in 2021. Running more relevant tests.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

O'Reilly

JANUARY 6, 2020

Like reading, some people learn how to code with little training, and others don’t. You don’t need to be good at math to program, but you do need math to push computing forward—particularly if you’re interested in data science or artificial intelligence. We need to think about how programming is taught. Mike Loukides.

Programming 98

Programming Artificial Intelligence Education Games 98

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

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. Use generative AI in conjunction with other technologies. Growing AI adoption has ushered in a new reality.

Strategy 224

Strategy Artificial Intelligence Storage Cloud 224

Dynatrace

JANUARY 6, 2020

In a pilot project, the system will likely be analyzing a narrow set of technologies, processing data that’s typically static and confined when compared with the dynamism of full production environments. The accuracy of the machine learning system’s answers will be artificially inflated. The result?

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Artificial Intelligence Efficiency Analytics Innovation 146

Testsigma

JULY 13, 2021

Natural Language Processing (NLP) refers to a branch of Computer Science, or in more simple words, let us say it refers to a branch of Artificial Intelligence (AI). This technology has been around for years and is now being used by several people on a daily basis. Smart Test Automation. Conditional flow and control structures.

Testing 52

Testing Artificial Intelligence Processing Programming 52

Dynatrace

OCTOBER 2, 2023

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Likewise, refactoring and rewriting code takes a lot of time and effort. In fact, it can be difficult to make code changes that won’t disrupt the entire system.

Architecture 234

Architecture Artificial Intelligence Cloud Open Source 234

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? Create test plans automatically.

Software 51

Software Software Testing Artificial Intelligence 51

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 215

Artificial Intelligence DevOps Innovation Metrics 215

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. ZPU : is a small, portable CPU core by a Norwegian company Zylin AS to run supervisory code in electronic systems that include an FPGA.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dynatrace

FEBRUARY 12, 2024

In fact, according to recent Dynatrace research, 85% of technology leaders say the number of tools, platforms, dashboards, and applications they use adds to the complexity of managing a multicloud environment. This fragmented approach adds complexity and opens the door to security vulnerabilities.

Analytics 183

Analytics Artificial Intelligence Engineering Storage 183

Dynatrace

JANUARY 12, 2021

To identify those that matter most and make them visible to the relevant teams requires a modern observability platform with automation and artificial intelligence (AI) at the core. This capability provides the context needed to make sense of data no matter where in the entire technology stack it originated.

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Monitoring Artificial Intelligence DevOps Serverless 194

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. It results in consistently configured environments and allows for swift deployment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed.

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Artificial Intelligence Analytics Storage Architecture 270

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This is when the API library is referenced from the application code.

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Artificial Intelligence Open Source Analytics Monitoring 195

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Emerging technology frameworks.

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Artificial Intelligence Storage Analytics Government 211

Dynatrace

NOVEMBER 24, 2020

To bring higher-quality information to Well-Architected Reviews and to establish a strategic advanced observability solution to support the Well-Architected Framework 5-pillars, Dynatrace offers a fully automated, software intelligence platform powered by Artificial Intelligence.

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AWS Artificial Intelligence Best Practices Lambda 145