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.

Artificial Intelligence 109

Artificial Intelligence Healthcare Network Transportation 109

Dynatrace

JULY 24, 2023

Today’s organizations need to solve increasingly complex human problems, making advancements in artificial intelligence (AI) more important than ever. Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. What is causal AI? Why is causal AI important?

Artificial Intelligence 221

Artificial Intelligence Analytics Network Metrics 221

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 193

Analytics Artificial Intelligence Big Data Open Source 193

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

SEPTEMBER 5, 2023

Organizations face cloud complexity, data explosion, and a pronounced lack of ability to manage their cloud environments effectively. Data explosion and cloud complexity brings cloud management challenges McConnell noted that, rising interest rates and soaring costs have created a backdrop in which organizations need to do more with less.

Cloud 227

Cloud Artificial Intelligence Innovation Azure 227

Testsigma

FEBRUARY 18, 2020

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Almost all artificial machines built to date fall under this category. Artificial General Intelligence. How does Artificial Intelligence Work?

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

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. However, correlation does not imply causation.

Artificial Intelligence 213

Artificial Intelligence Healthcare Retail Government 213

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. Some models, like deep learning or neural network-based models, are dense and complex, making them difficult to interpret.

Artificial Intelligence 217

Artificial Intelligence Healthcare Government Technology 217

Dynatrace

OCTOBER 17, 2023

Artificial intelligence (AI) and IT automation are rapidly changing the landscape of IT operations. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. 5) in the Gartner report. 5) in the Gartner report.

Monitoring 231

Monitoring Artificial Intelligence Performance Analytics 231

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

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. Worth noting?

Infrastructure 182

Infrastructure Monitoring Artificial Intelligence Open Source 182

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. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

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. Additionally, Dynatrace will be integral in the Coast Guard’s future cyber operations center, emphasizing the importance of data, technology, and human oversight.

Government 218

Government Artificial Intelligence Innovation Programming 218

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

NOVEMBER 24, 2020

Well-Architected Framework design principles include: Using data to inform architectur al choices and improvements over time. Dynatrace as a managed AWS workload, and as an option, have the network traffic to Dynatrace run over PrivateLink so that traffic never leaves AWS. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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. Continuous Automation.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

O'Reilly

SEPTEMBER 19, 2023

” I’ve called out the data field’s rebranding efforts before; but even then, I acknowledged that these weren’t just new coats of paint. Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” Goodbye, Hadoop.

Hardware 97

Hardware Storage Big Data Blockchain 97

All Things Distributed

JULY 9, 2020

When I think about how Amazon’s globally connected distribution network has changed in the last decade alone, it’s incredible. From the Internet of Things (IoT) to Artificial Intelligence (AI) and task automation to predictive maintenance technology, the advancements in this space are creating a world of new opportunity.

Artificial Intelligence 150

Artificial Intelligence AWS IoT Internet 150

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. Then, it can combine them with additional monitoring data specific to Dynatrace.

Artificial Intelligence 198

Artificial Intelligence Open Source Analytics Monitoring 198

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. Logs can include data about user inputs, system processes, and hardware states. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Collect this data over time to calculate an average MTTR score. Mean time to recovery (MTTR) measures the entire amount of time it takes to get a downed network or system back up and running. MTTF measures the reliability of a network and durability of its hardware.

DevOps 212

DevOps Artificial Intelligence Metrics Network 212

Scalegrid

JANUARY 11, 2024

Customized security measures tailored to the specific architecture and workloads of each organization’s cloud infrastructure can effectively protect data from potential threats or vulnerabilities. This way, relevant information can easily be accessed, allowing swift responses against possible external attacks or internal threats.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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. The four stages of data processing. There are four stages of data processing: Collect raw data. Analyze the data.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 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

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Hyperautomation. Autonomous Test Automation. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

O'Reilly

APRIL 30, 2024

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Social Media 87

Social Media Artificial Intelligence Innovation Logistics 87

Dynatrace

DECEMBER 2, 2020

Gartner defines observability as the characteristic of software and systems that allows administrators to collect external- and internal-state data about networked assets so they can answer questions about their behavior. Then teams can leverage and interpret the observable data.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

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

Alex Podelko

DECEMBER 19, 2019

Boris has unique expertise in that area – especially in Big Data applications. 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.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Scalegrid

JANUARY 8, 2024

Integrating data sources and applications across multiple cloud providers brings about integration hurdles due to the different platforms involved. Then we’ll discuss important factors like security measures for protecting data as well as staying compliant in this constantly evolving environment.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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 146

AWS Cloud Artificial Intelligence Innovation 146

All Things Distributed

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166