Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 264

Analytics Social Media Metrics Design 264

Dynatrace

MARCH 12, 2025

It provides an easy way to select, integrate, and customize foundation models with enterprise data using techniques like retrieval-augmented generation (RAG), fine-tuning, or continued pre-training. Predictive analytics that forecast AI resource usage and cost trends, letting you proactively manage budgets.

Metrics 165

Metrics Serverless Analytics Innovation 165

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. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 246

Games Analytics Strategy Cloud 246

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. That’s where causal AI can help.

Government 263

Government Analytics Benchmarking Storage 263

Dynatrace

SEPTEMBER 30, 2021

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification. Data analytics.

AWS 246

AWS Best Practices Cloud Analytics 246

Dynatrace

JANUARY 30, 2024

Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s 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 246

Artificial Intelligence Government Innovation Programming 246

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Log management at scale Drive enhanced analytics with lower cost considerations. Accelerate business growth with the latest sales and technical training.

Programming 245

Programming Best Practices Innovation Analytics 245

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Analytical views are linked and embedded where they make the most sense from the observability perspective. Extensions 2.0

Technology 264

Technology Technology Scalability Availability 264

Dynatrace

JANUARY 25, 2022

Despite having to reboot Perform 2022 from onsite in Vegas to virtual, due to changing circumstances, we’re still set to offer just the same high-quality training. And, what’s more – Dynatrace offers virtual training year-round in Dynatrace University, our product education platform.

Performance 246

Performance Virtualization Education Analytics 246

Dynatrace

AUGUST 8, 2024

To cope with the risk of cyberattacks, companies should implement robust security measures combining proactive preventive measures such as runtime vulnerability analytics , with comprehensive application and perimeter protection through firewalls, intrusion detection systems, and regular security audits.

Software 290

Software Software Infrastructure Network 290

O'Reilly

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

Open Source 127

Open Source Healthcare Database Entertainment 127

Dynatrace

FEBRUARY 26, 2024

The winning User Flow Analytics app by Andrea Caria of Spindox introduces a visual analysis of user navigation within web, mobile, or custom applications, presented through dynamic Sankey diagrams and funnels. The User Flow Analytics app was created to address real-life business challenges.

Innovation 246

Innovation Analytics Mobile Website 246

Dynatrace

MARCH 13, 2024

Corporate accountability: It is the organizational board of directors and executives’ responsibility to actively oversee, formally endorse, and actively participate in comprehensive training programs concerning the organization’s cybersecurity risk management posture, with emphasis on effectively addressing and mitigating emerging cyber threats.

Best Practices 264

Best Practices Education Strategy Analytics 264

Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models quickly. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift. Amazon Inspector. Amazon Polly. AWS IoT Things Graph.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

JULY 25, 2023

Generative AI drives productivity through AI-powered analytics and automation for all members of your organization. Large language models (LLMs), which are the foundation of generative AIs, are neural networks: they learn, summarize, and generate content based on training data. This AI also triggers automated remediation actions.

Best Practices 246

Best Practices Analytics Metrics Code 246

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. Technology prediction No.

Technology 264

Technology Technology Artificial Intelligence Analytics 264

Dynatrace

MAY 24, 2021

In recognition of partner architects, engineers, administrators, consultants, and delivery roles that invest in formal Dynatrace training and certification, we launched Pro Club as an exclusive community for those who achieve Dynatrace Professional certification. Training & Certification Award: Accenture. Partner Pro Club.

Programming 246

Programming Cloud Virtualization Technology 246

Dynatrace

MAY 24, 2021

In recognition of partner architects, engineers, administrators, consultants, and delivery roles that invest in formal Dynatrace training and certification, we launched Pro Club as an exclusive community for those who achieve Dynatrace Professional certification. Training & Certification Award: Accenture. Partner Pro Club.

Programming 243

Programming Cloud Virtualization Technology 243

Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 244

Artificial Intelligence DevOps Analytics Cloud 244

Dynatrace

OCTOBER 3, 2024

” Dynatrace observability provides AI, analytics, and automation that integrates with platform engineering, continuous delivery, and automated operations. That is where Dynatrace AI and analytics—on top of unified observability and security data—raises the bar to prevent proactively and remediate faster.

Availability 278

Availability DevOps Analytics Cloud 278

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 262

Artificial Intelligence Open Source Cloud Analytics 262

Dynatrace

AUGUST 27, 2024

Effective ICT risk management Dynatrace Runtime Vulnerability Analytics offers AI-powered risk assessment and intelligent automation for continuous real-time exposure management throughout your entire application stack. Dynatrace Security Analytics can also improve the effectiveness and efficiency of threat hunts.

Best Practices 290

Best Practices Government DevOps Analytics 290

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 109

Analytics Cloud Healthcare Retail 109

Dynatrace

APRIL 17, 2024

Getting my hands dirty: Hands-on training at Perform I was invited to join Perform to help host one of the HOT classes two days before the main conference event. EasyTrade Analytics is a hypothetical stockbroker app developed by two members of the Platform enablement team, Sinisa Zubic and Edu Campver.

Development 245

Development Performance Airlines Healthcare 245

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and Over the course of the four years it became clear that I enjoyed combining analytical skills with solving real world problems, so a PhD in Statistics was a natural next step. Photo from a team curling offsite? You can also find more stories like this here.

Analytics 230

Analytics Education Innovation Engineering 230

CSS - Tricks

NOVEMBER 24, 2020

They may not be the analytics that matter most to us or that correlate with business goals. I admit I’ve been on the hype train myself a little bit. I like all of Katie’s points but I think I’ll still call it a step forward for web analytics. The post The Core Web Vitals hype train appeared first on CSS-Tricks.

Analytics 74

Analytics Metrics Development Performance 74

Dynatrace

DECEMBER 4, 2023

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack.

Open Source 279

Open Source Metrics Java Latency 279

Dynatrace

JULY 11, 2023

The forecast is trained on a relative timeframe (for example, the last seven days) which is specified in the configured DQL query. The creation of alerting events within this workflow example highlights the flexibility and power of the Dynatrace AutomationEngine combined with the analytical capabilities of Davis AI and Grail.

Metrics 246

Metrics Games Analytics Network 246

Dynatrace

FEBRUARY 23, 2022

With MLOps, data needs to be trained to understand normal behavior and what is anomalous. AIOps, conversely, is an approach to software operations that combines AI algorithms with data analytics to automate key tasks and suggest precise answers to common IT issues, such as unexpected downtime or unauthorized data access.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

Dynatrace

JANUARY 31, 2024

This unified approach reduces the total cost of ownership (TCO), cutting down on the overhead costs associated with managing multiple standalone tools and training costs and simplifying procurement and vendor management. Opting into Application Security provides protection with the flip of a switch.

Analytics 244

Analytics Infrastructure Monitoring Cloud 244

The Netflix TechBlog

MAY 28, 2021

Part of our series on who works in Analytics at Netflix?—?and Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. That person grew up dreaming of working in the entertainment industry.

Healthcare 209

Healthcare Entertainment Analytics Programming 209

Dynatrace

SEPTEMBER 28, 2020

It also recognizes Dynatrace’s robust Autonomous Cloud Enablement services offerings , which include continuous enablement and technical support , microlearning, training and certification, enterprise adoption, automation and integration, advanced analyti cs , and performance optimization.

Cloud 246

Cloud Serverless Innovation Architecture 246

Dynatrace

FEBRUARY 26, 2024

This presentation showcased the Dynatrace Platform capabilities, leveraging contextual analytics and AI to automate problem solving across observability, security, and business functions. Empowering partners for success During this year’s Partner Summit, Dynatrace hosted several key sessions for partners, including: Dynatrace on Dynatrace.

Artificial Intelligence 246

Artificial Intelligence IoT Programming Innovation 246

Dynatrace

JANUARY 8, 2020

You told us you wanted more hands-on training (HOT) Days, so you could attend more sessions, learn more about Dynatrace, and network with your fellow attendees. This year at Perform Las Vegas 2020 , we’re ramping up our Dynatrace University offerings because we know this is one of your favorite parts of attending Perform.

Performance 43

Performance Analytics Architecture Network 43

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. Most AIOps approaches use predictive analytics that apply algorithms and machine learning to historical data to predict future outcomes. Why is causal AI important?

Artificial Intelligence 246

Artificial Intelligence Analytics Network Metrics 246