Dynatrace

OCTOBER 4, 2023

Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

OCTOBER 17, 2023

Artificial intelligence (AI) and IT automation are rapidly changing the landscape of IT operations. AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation.

Monitoring 225

Monitoring Artificial Intelligence Performance Analytics 225

Alex Podelko

DECEMBER 19, 2019

Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard. – Application of Artificial Intelligence to operations – as done at Mastercard. . – Another presentation on resource optimization – this one from Salesforce.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. A network administrator sets up a network, manages virtual private networks (VPNs), creates and authorizes user profiles, allows secure access, and identifies and solves network issues.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Most IT incident management systems use some form of the following metrics to handle incidents efficiently and maintain uninterrupted service for optimal customer experience. It shows how efficiently your DevOps team is at quickly diagnosing a problem and implementing a fix.

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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. Dynatrace news. The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Dynatrace

JANUARY 6, 2020

Well into the third week of analysis, the network admin changed a security parameter in the firewall—to address an unrelated issue—and you can guess what happened: the session drop problem disappeared. We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

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. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. This pattern should be broken.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

O'Reilly

APRIL 23, 2024

Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” These are all astonishing tools for making our limited capacity for attention more efficient. But over time, something went very wrong.

Social Media 101

Social Media Google Internet Internet 101

Scalegrid

FEBRUARY 8, 2024

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 187

Analytics Artificial Intelligence Big Data Open Source 187

Abhishek Tiwari

DECEMBER 13, 2017

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

MAY 13, 2020

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 24, 2020

Well-Architected Reviews are conducted by AWS customers and AWS Partner Network (APN) Partners to evaluate architectures to understand how well applications align with the multiple Well-Architected Framework design principles and best practices. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It may have third-party calls, such as content delivery networks, or more complex requests to a back end or microservice-based application.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Leveraging artificial intelligence and continuous automation is the most promising path—to evolve from ITOps to AIOps. Dynatrace news.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Open Source 178

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 includes CPU activity, profiling, thread analysis, and network profiling.

Artificial Intelligence 192

Artificial Intelligence Open Source Analytics Monitoring 192

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. This approach is cumbersome and challenging to operate efficiently at scale.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Together, they provide continuous value to the business.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Dynatrace

JUNE 1, 2020

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 your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Tech News Gather

NOVEMBER 5, 2023

These vehicles have the potential to revolutionize the way we commute, offering improved safety, efficiency, and convenience. 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.

Blockchain 52

Blockchain Automotive Transportation Energy 52

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Unbabel uses a combination of artificial intelligence and human translation to deliver fast, cost-effective, high-quality translation services globally.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

JUNE 1, 2020

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 your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Testsigma

SEPTEMBER 28, 2021

Hence, they start searching for a tool that can act as a bridge between efficient mobile testing and ROI. Testsigma’s test creation stands on two pillars – natural language processing and artificial intelligence. I don’t want to leave clients on slower networks.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

ACM Sigarch

DECEMBER 6, 2018

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Last but not least, the ability to auto-generate optimal neural networks (e.g. interactive AR/VR, gaming and critical decision making). Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Software as a Service (SaaS).

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

O'Reilly

NOVEMBER 28, 2023

The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal. The field may have evolved from traditional statistical analysis to artificial intelligence, but its overall shape hasn’t changed much. Now we expect wireless everywhere, and even that’s not correct.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

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

O'Reilly

SEPTEMBER 19, 2023

And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Their research has applied evolutionary algorithms to groups that need efficient ways to manage finite, time-based resources such as classrooms and factory equipment.

Hardware 98

Hardware Storage Big Data Blockchain 98

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

MAY 21, 2018

These new offerings are organized on platforms or networks, and less so in processes. And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best.

Artificial Intelligence 77

Artificial Intelligence Technology Technology IoT 77