Dynatrace

JANUARY 26, 2024

At the recent United States Public Sector user group, Dynatrace gathered government leaders and partners to discuss a range of technology topics. From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. This too will expand the marketplace.

Government 219

Government Artificial Intelligence Innovation Programming 219

Dynatrace

JULY 3, 2024

Artificial Intelligence (AI) has the potential to transform industries and foster innovation. These issues underline the importance of robust data management and precise strategic planning for AI projects, including cloud-based models and LLMs. Without robust data, AI models struggle to produce accurate and reliable results.

Artificial Intelligence 228

Artificial Intelligence Government Monitoring Innovation 228

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 215

AWS Artificial Intelligence Cloud Analytics 215

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

Artificial Intelligence 236

Artificial Intelligence Cloud Best Practices DevOps 236

Dynatrace

JULY 31, 2023

We believe integrating Rookout into the Dynatrace platform and leveraging the artificial intelligence and automation capabilities Dynatrace is known for will accelerate this mission.

Code 215

Code Artificial Intelligence Government Performance Testing 215

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 214

Artificial Intelligence Healthcare Retail Government 214

Dynatrace

APRIL 21, 2023

With observability eliminating the siloed views of the system and establishing a common means to observe, measure, and act on insights, agencies can boost cloud operations, innovate faster, and improve results. That’s why teams need a modern observability approach with artificial intelligence at its core.

Innovation 189

Innovation Speed Artificial Intelligence Government 189

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. AWS is working with incubators and accelerators such as SeedCamp and Techstars , in London; Ignite100 in Newcastle; and DotForge in Sheffield and Manchester to help startups make the most of the cloud.

AWS 157

AWS Cloud Artificial Intelligence IoT 157

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Then, a subset of this data seamlessly filters through to become more curated and trusted data sets on which organizations set the required governance, use, and access rules.

Artificial Intelligence 216

Artificial Intelligence Storage Analytics Government 216

Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. It’s supported by the VA Enterprise Cloud (VAEC), a multi-vendor, FedRAMP High environment for hosting VA applications in the cloud. VAPO is available in both Microsoft Azure and AWS.

Monitoring 189

Monitoring Artificial Intelligence Performance Healthcare 189

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 209

Artificial Intelligence DevOps Hardware Virtualization 209

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. Intelligent: To reach the intelligent level, automation must be wholly reliable, sophisticated, and ingrained within organizational culture.

DevOps 192

DevOps Artificial Intelligence Government Innovation 192

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 195

Analytics Artificial Intelligence Big Data Open Source 195

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. 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 210

Technology Technology Artificial Intelligence Analytics 210

Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JANUARY 4, 2024

It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.

Government 206

Government Analytics Benchmarking Storage 206

High Scalability

JUNE 22, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. 40 million : Netflix monthly spend on cloud services; 5% : retention increase can increase profits 25%; 50+% : Facebook's IPv6 traffic from the U.S,

Internet 113

Internet Internet Scalability Artificial Intelligence 113

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. Artificial intelligence helps to satisfy the customer.

Artificial Intelligence 116

Artificial Intelligence Transportation Education Airlines 116

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Still cloud-y, but with a possibility of migration.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming C++ 21

All Things Distributed

DECEMBER 18, 2017

The cloud is an opportunity to stay competitive in each of these domains by giving companies freedom to innovate quickly. Starting today, developers, startups, and enterprises, as well as government, education, and non-profit organizations can leverage AWS to run applications and store data in France.

AWS 87

AWS Artificial Intelligence Education Energy 87

Adrian Cockcroft

NOVEMBER 30, 2020

This is becoming topical as governments and public companies around the world are looking for efficient and standardized ways to report their sustainability impact, and investors and asset managers are looking for common datasets and models to base their risk analysis on. Fighting wildfire with artificial intelligence ZWL201 ?—?Scaling

AWS 52

AWS Artificial Intelligence IoT Open Source 52

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. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 110

Open Source Google Artificial Intelligence Infrastructure 110

O'Reilly

APRIL 23, 2024

Patents—exclusive, government-granted rights intended to encourage innovation—protect pharmaceutical companies from competition and allow them to charge high prices. Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. For example, consider drug pricing.

Social Media 109

Social Media Google Internet Internet 109

O'Reilly

JUNE 20, 2023

Or, it is entirely possible that by using cloud services and AI marketplaces, a single developer can perform all of these functions alone. The stakeholders of the project, such as the management of the organization that built the AI model, may also add their input and follow through to make sure it is considered.

Blockchain 80

Blockchain Network Government Programming 80

O'Reilly

FEBRUARY 13, 2024

However, we know that hostile applications will be developed, and are already being developed: in military laboratories, in government laboratories, and at any number of companies. Yes, open source will be used irresponsibly—as has every tool that has ever been invented. Will there be a proliferation of models?

Open Source 94

Open Source Strategy Government Tuning 94

O'Reilly

JULY 20, 2021

However, the rules governing these experiences are never applied to, say, Netflix. Until we acknowledge that hardware put in a home is different from a cloud service, we will never get it right. Video games already cater to multiple people’s experiences. The assumption is always that one person holds the remote.

Google 122

Google Games Technology Technology 122

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. Automation Via Distributed Cloud. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92