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. You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Can embracing AI really make life easier?

Artificial Intelligence 198

Artificial Intelligence Government Innovation Programming 198

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 222

Monitoring Artificial Intelligence Performance Analytics 222

Dynatrace

SEPTEMBER 5, 2023

Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces. Technology prediction No.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

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. For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Dynatrace

MAY 17, 2023

This is one example of the many use cases we’re exploring. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. Achieving this precision requires another type of artificial intelligence: causal AI.

Innovation 256

Innovation Software Software Artificial Intelligence 256

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. In another survey, for example, 85% of respondents said their organizations have increasingly shifted toward creating digital experiences. Autonomous testing. Chaos engineering.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Scalegrid

FEBRUARY 8, 2024

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. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

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. Dynatrace news. ” Extended visibility. Taming complexity at W.W.

Artificial Intelligence 189

Artificial Intelligence Open Source Analytics Monitoring 189

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 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JULY 6, 2022

Vulnerability management is one example of a DevSecOps workflow that teams should automate to ensure vulnerability scans run regularly. Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. IT automation tools can achieve enterprise-wide efficiency.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

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. AWS 5-pillars.

AWS 143

AWS Artificial Intelligence Best Practices Lambda 143

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 8, 2023

This alert serves as a valuable tool in maintaining operational efficiency, ensuring business continuity, and delivering optimal customer experiences. For example, by applying forecast analysis to payment data, businesses can identify potential cash flow issues or predict periods of high transaction activity.

Database 266

Database Artificial Intelligence Metrics Monitoring 266

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. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

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

Testsigma

MARCH 12, 2021

This is achieved through artificial intelligence and machine learning algorithms by learning the patterns from the user’s actions. For example, data entry requires us to enter data by performing the same actions but with different data. Regression tests are one such example. This can be achieved through RPA.

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

Dynatrace

MAY 4, 2021

million per year just “keeping the lights on,” with 63% of CIOs surveyed across five continents calling out complexity as their biggest barrier to controlling costs and improving efficiency. According to the Dynatrace 2020 Global CIO Report , companies now spend an average of $4.8

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Here’s how. What is AIOps and what are the challenges? What are the benefits of AIOps tools? But what does this look like in practice?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

NOVEMBER 8, 2021

Artificial intelligence for IT operations (AIOps) for applications. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Application discovery, tracing, and diagnostics (ADTD).

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. But with autonomous IT operations on the horizon, it’s important to understand the path to intellectual debt and its impact on both efficiency and innovation.

Artificial Intelligence 144

Artificial Intelligence Efficiency Analytics Innovation 144

Dynatrace

JUNE 1, 2021

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. 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). interactive AR/VR, gaming and critical decision making).

Wireless 54

Wireless IoT Analytics Architecture 54

CSS - Tricks

MARCH 13, 2019

That way, the number of obscure edge cases can be reduced and the images can be handled as efficiently as possible. However, you can take advantage of the artificial intelligence offered by open-source tools or SaaS companies that specialize in image management. An example is in the upcoming sections. Below is an example.

Media 72

Media Artificial Intelligence Strategy Open Source 72

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

NOVEMBER 28, 2023

47% are using it specifically to generate marketing copy, and 56% are using it for other kinds of copy (internal memos and reports, for example). Those applications will be built soon; tldraw is a very early example of what they might be. Is generative AI the answer? Perhaps not yet. We’d like to see more companies test for fairness.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future. At the same time there are many grounds for optimism.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

O'Reilly

MARCH 23, 2023

But bulk isn’t everything; a lot of work is going into making language models more efficient, and showing that you can get equivalent (or better) performance with fewer parameters. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. But it is an amazing analytic engine.”

Google 104

Google Open Source Programming Code 104

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. Databricks Delta is a perfect example of this class. Overall, less complexity to deal with. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49