Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

FEBRUARY 16, 2023

The benefits of the cloud are undeniable. With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. But the cloud also produces an explosion of data.

Artificial Intelligence 190

Artificial Intelligence Analytics Cloud Innovation 190

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 184

Analytics Artificial Intelligence Big Data Open Source 184

Scalegrid

MAY 13, 2020

Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 242

Serverless Efficiency Lambda Azure 242

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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

The Polyglot Developer

JUNE 3, 2019

Amazon and a lot of cloud vendors such as Microsoft and Google have services around machine learning (ML), artificial intelligence (AI), and virtual assistants. A popular one that might come to mind is Amazon Alexa, something I’ve written quite a few tutorials around over the years.

AWS 97

AWS Artificial Intelligence Virtualization Google 97

O'Reilly

APRIL 4, 2024

Google raised only $36 million in venture capital on its way to dominance. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. This is a classic example of what Janeway calls a “ productive bubble.” But those investments demand commensurately large returns.

Artificial Intelligence 61

Artificial Intelligence Open Source Innovation Transportation 61

Testsigma

JANUARY 7, 2022

In 2016, Google made it clear that since mobile traffic is more than all else, mobile-friendly websites will be prioritised when a user searches on mobile. Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). So the trend of mobile web testing came into the picture.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

O'Reilly

APRIL 23, 2024

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? That’s exactly what Google, Amazon, and Meta are doing today. They start to collect robber baron rents.

Social Media 108

Social Media Google Internet Internet 108

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

KeyCDN

MARCH 14, 2019

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Google and Microsoft both plan to invest large sums in VR and AR in 2019.

Development 101

Development Blockchain Serverless Social Media 101

O'Reilly

OCTOBER 31, 2019

We recently learned about a major breakthrough: Google says it has achieved “quantum supremacy” with a 53-qubit computer. Google performed a computation in a few minutes (3 minutes, 20 seconds to be precise ) that would have taken more than 10,000 years on the most powerful computers we currently have.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. Image Processing Unit (IPU) is the Pixel Visual Core designed by Google and integrated in Google Pixel 2 released in 2017.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Testsigma

DECEMBER 8, 2019

Automation Via Distributed Cloud. There are multiple commercial testing tools like Saucelabs , Testsigma , TestComplete that offer to store the automated test cases on the cloud such that they become a complete package for testing. The Cloud Computing trend is expected to evolve better by transforming into a distributed cloud in 2020.

IoT 78

IoT Software Software Artificial Intelligence 78

Testsigma

JANUARY 7, 2022

For simplicity, I have divided this post into two different sections – technical and management – how Testsigma, a completely cloud-based test automation tool , supports team members in both these domains while they work from home. Cloud-based infrastructure. Cloud-based systems provide a two-fold advantage to the team.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

O'Reilly

DECEMBER 2, 2019

We’ve seen the reaction to news that Amazon’s Echo and Google Home send recordings of conversations back to the server. What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? O’Reilly Artificial Intelligence Conference in San Jose , March 15-18, 2020.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

O'Reilly

SEPTEMBER 12, 2023

Some of that evolution is driven by an increasingly complex world that requires attention to secure programming, cloud deployment, and other issues that didn’t exist a few decades ago. (These days, it’s often a seething mass of distributed bits.) That brings me to my main point. But that advantage is also a significant disadvantage.

Software 122

Software Software Development Programming 122

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 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

FEBRUARY 18, 2020

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. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle.

Hardware 99

Hardware Storage Big Data Blockchain 99

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. Will there be a proliferation of models?

Open Source 93

Open Source Strategy Government Tuning 93

O'Reilly

JULY 20, 2021

Examples include popular home assistants and smart displays like the Amazon Echo, Google Home, Apple HomePod, and many others. In Privacy in Context, Nissenbaum talks about the privacy implications of Google Street View when it places photos of people’s houses on Google Maps. Source: Google Face Match video, [link] ).

Google 121

Google Games Technology Technology 121

Abhishek Tiwari

DECEMBER 27, 2017

With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49