Dynatrace

OCTOBER 24, 2023

The session focused on how agencies are protecting data within the context of zero trust. Reflecting on their discussion, I identified five emerging “truths” about zero trust and data. Identity is not necessarily as important as data because at the end of the day, we steal identities to get to the data,” said Williamson. “I

Government 219

Government Artificial Intelligence Best Practices Infrastructure 219

DZone

JUNE 5, 2023

Cybercrime is big business; hackers are breaking into systems and stealing data using ever-more-advanced methods. Artificial Intelligence may hold the answer to defeating these nefarious forces. Cybersecurity should be a top priority for organizations to safeguard digital assets and consumer data.

Artificial Intelligence 311

Artificial Intelligence Analytics Network Technology 311

DZone

NOVEMBER 16, 2023

This article is intended for data scientists, AI researchers, machine learning engineers, and advanced practitioners in the field of artificial intelligence who have a solid grounding in machine learning concepts, natural language processing , and deep learning architectures.

Artificial Intelligence 264

Artificial Intelligence Architecture Network Engineering 264

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. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 222

Strategy Artificial Intelligence Storage Cloud 222

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 215

Artificial Intelligence Analytics Network Metrics 215

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204

IoT Artificial Intelligence Latency Internet 204

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

JUNE 22, 2023

What’s it like to design, build, deploy, and maintain the IT systems for an entire military branch? That’s the task that Commander Jonathan White, Cloud and Data Branch Chief at the U.S. Coast Guard, and the team at the Coast Guard’s Command, Control, Communication, Computer, Cyber and Intelligence (C5I) Service Center are undertaking.

Artificial Intelligence 130

Artificial Intelligence Cloud Systems Tuning 130

Dynatrace

FEBRUARY 8, 2024

As artificial intelligence becomes more pervasive in organizations, the workforce senses that the future of work is undergoing massive shifts. She has held positions at Citrix Systems, GitHub, and most recently, VMware. Heisman joined Dynatrace in January 2024, with an enduring career to date in the technology sector.

Artificial Intelligence 263

Artificial Intelligence Technology Technology Strategy 263

Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. First, let’s discuss observability.

Government 159

Government Network Artificial Intelligence Cloud 159

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 188

Analytics Artificial Intelligence Big Data Open Source 188

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

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. Specifically, we considered how to strike the right balance between embracing these advancements and safeguarding systems, data, and users.

Government 171

Government Innovation Artificial Intelligence Small Business 171

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

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 222

Cloud Artificial Intelligence Innovation Azure 222

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

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. Causal AI use cases can complement other types of AI.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. Which technology trends are fueling business digital transformation?

C++ 185

C++ Artificial Intelligence DevOps Innovation 185

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is predictive AI?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 229

Artificial Intelligence Cloud Best Practices DevOps 229

Dynatrace

JANUARY 4, 2024

Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. However, as AI systems become more complex and sophisticated, organizations are learning that they need to ensure the AI they use is responsible and trustworthy. AI system bias.

Artificial Intelligence 234

Artificial Intelligence Strategy Traffic Virtualization 234

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 113

Artificial Intelligence Healthcare Network Transportation 113

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical.

Government 200

Government Analytics Benchmarking Storage 200

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. These help teams with data augmentation, anomaly detection, simulation, and documentation, among other areas.

Software 168

Software Software Artificial Intelligence Development 168

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

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.

Artificial Intelligence 180

Artificial Intelligence Automotive DevOps Infrastructure 180

Dynatrace

JANUARY 30, 2024

Is artificial intelligence (AI) here to steal government employees’ jobs? For example, AI is a great candidate for automating tedious, manual tasks such as aggregating data. But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness.

Artificial Intelligence 201

Artificial Intelligence Government Innovation Programming 201

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. 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.

Artificial Intelligence 212

Artificial Intelligence Healthcare Government Technology 212

Dynatrace

OCTOBER 4, 2023

Data supports this picture. 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.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Percona

JANUARY 9, 2024

2023 was the year of Artificial Intelligence (AI). A lot of companies are thinking about how they can improve user experience with AI, and the most usual first step is to use company data (internal docs, ticketing systems, etc.) to answer customer questions faster and (or) automatically.In

Open Source 105

Open Source Artificial Intelligence Systems 105

Dynatrace

FEBRUARY 1, 2024

Survey data indicates that IT professionals have turned to technology to help them address cloud interdependencies and complexity. Indeed, 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond humans’ ability to manage. Artificial intelligence. Again, survey data supports this trend.

Cloud 230

Cloud Artificial Intelligence Strategy Government 230

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. According to Dynatrace data, 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond human ability to manage. What is AIOps?

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147