Dynatrace

APRIL 3, 2023

From development tools to collaboration, alerting, and monitoring tools, Dimitris explains how he manages to create a successful—and cost-efficient—environment. When the UK Home Office first shut down these programs, the artificial intelligence-based tools had to adapt to the environment disappearing overnight.

Efficiency 202

Efficiency Social Media Artificial Intelligence Cloud 202

Dynatrace

MARCH 26, 2024

The artificial intelligence (AI) age has arrived and the public sector is steadily moving forward with AI advancements. Discover the best practices for developing an ideal AIOps strategy in your agency in the free ebook: Harnessing AIOPs for seamless services in agency operations Read now! ” 1 Within the U.S.

Government 192

Government Artificial Intelligence Energy Education 192

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. As more AI-powered technologies are developed and adopted, more government and industry regulations will be enacted.

Artificial Intelligence 221

Artificial Intelligence Healthcare Government Technology 221

Dynatrace

JULY 2, 2019

Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. Automatic failure detection works well in most cases especially for web services and when developers follow good coding practices. How to fine-tune failure detection. So why is this important?

Tuning 116

Tuning Artificial Intelligence Code Java 116

Dynatrace

JULY 6, 2022

Developing automation takes time. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues.

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

Dynatrace

NOVEMBER 24, 2020

The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars. Stay tuned. Common findings.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

Dynatrace

OCTOBER 2, 2023

Microservices applications comprise independent services that teams develop, deploy, and maintain separately. Security should be an integral part of each stage of the software delivery lifecycle, from development to monitoring in real time. This includes when teams refactor applications for microservices architecture.

Architecture 241

Architecture Artificial Intelligence Cloud Open Source 241

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. The developer uploads the function and configuration for how to run the function to the cloud. Developers stay focused on developing technologies rather than the underpinnings of applications.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

NOVEMBER 15, 2021

Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

O'Reilly

APRIL 4, 2024

They used their funding to do serious research and development, to build factories, cars, batteries, rockets and satellites. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. Tesla and SpaceX are good examples. This has led to lawsuits and settlements.

Artificial Intelligence 60

Artificial Intelligence Open Source Innovation Transportation 60

Scalegrid

JANUARY 11, 2024

In upcoming developments, we can anticipate a greater reliance on artificial intelligence (AI) and machine learning for effective cloud security monitoring. 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

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Enprowess

MAY 10, 2018

As Artificial intelligence and Machine learning are in action now, there are various APIs and libraries available with Java too. Let’s look at TensorFlow – TensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects. Source: [link]. b) Inception5h.

Artificial Intelligence 52

Artificial Intelligence Open Source Google Java 52

All Things Distributed

NOVEMBER 30, 2016

Today, there are thousands of machine learning scientists and developers applying machine learning in various places, from recommendations to fraud detection, from inventory levels to book classification to abusive review detection. in ML and neural networks) and access to vast amounts of data.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Adrian Cockcroft

JUNE 29, 2019

We experience a very specific kind of human consciousness, so the question arises, whether we can make computers that have recognizable consciousness that we can communicate with, or whether computers will develop their own consciousness that is eventually more sophisticated than ours.

Artificial Intelligence 72

Artificial Intelligence Energy Monitoring Open Source 72

O'Reilly

FEBRUARY 13, 2024

Having set the price of copyrighted training data to $1B or thereabouts, other model developers will need to pay similar amounts to license their training data: Google, Microsoft (for whatever independently developed models they have), Facebook, Amazon, and Apple. Those companies can afford it. Remember: Uber was once inexpensive.

Open Source 92

Open Source Strategy Government Tuning 92

Adrian Cockcroft

JUNE 29, 2019

We experience a very specific kind of human consciousness, so the question arises, whether we can make computers that have recognizable consciousness that we can communicate with, or whether computers will develop their own consciousness that is eventually more sophisticated than ours.

Artificial Intelligence 52

Artificial Intelligence Energy Monitoring Open Source 52

O'Reilly

NOVEMBER 14, 2023

After his images were removed from Stable Diffusion’s training data, fans developed an alternate model that was tuned to produce images in Rutkowski’s style. While that’s certainly a strong sign of ongoing popularity, it is important to think about the consequences.

Social Media 84

Social Media Innovation Media Tuning 84

O'Reilly

SEPTEMBER 19, 2023

You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. As we develop the authoritative toolkits for simulations—the TensorFlow of agent-based modeling and the Hadoop of evolutionary algorithms, if you will—expect adoption to grow.

Hardware 97

Hardware Storage Big Data Blockchain 97

O'Reilly

JANUARY 16, 2024

For years I had an aspirational goal of unifying all of my backups into one central directory tree, akin to the concept of a monorepo in software development. Overly-agreeable artificial tone : Lastly, it’s still ChatGPT under the hood, so all the regular limitations of ChatGPT apply here.

Entertainment 72

Entertainment Internet Internet Design 72

O'Reilly

JULY 25, 2023

Getting Started: Setup Trials and Tribulations Here’s the exact prompt I used to start my conversation with ChatGPT using GPT-4: Act as a software developer to help me build something that will play music from a time period that matches when an academic paper I am reading in the browser was written. And ChatGPT didn’t warn me about this.

Programming 98

Programming Code Design Benchmarking 98