CIO

JUNE 7, 2024

based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. To achieve that, the Arlington, Va.-based

Energy 193

Energy Sustainability Artificial Inteligence Machine Learning 193

Crunchbase News

APRIL 15, 2025

Google Cloud and DeepMind , in collaboration with the Sphere in Las Vegas, have used something theyre calling performance generation and outpainting to enhance the films resolution and extend the background beyond what was ever shot. A few extra lily pads generated by machine learning. Fill in scenery that never existed?

Film 66

Film Google Cloud Artificial Inteligence Machine Learning 66

CIO

AUGUST 29, 2022

Cloud is key to enabling and accelerating that transformation,” said Justin Keeble, managing director of global sustainability at Google Cloud. “As As the cleanest cloud in the industry, every one of our customers immediately transforms their IT carbon footprint the moment they operate on Google Cloud.

Sustainability 146

Sustainability Enterprise Artificial Inteligence Google Cloud 146

CIO

AUGUST 2, 2022

Fueled by enterprise demand for data analytics , machine learning , data center consolidation and cloud-native app developmen t, spending on cloud infrastructure services jumped 33% year on year to $62.3 billion in the second quarter, according to Canalys. billion out of $62.3

Infrastructure 174

Infrastructure AWS Cloud Azure 174

CIO

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Pharmaceuticals 187

Pharmaceuticals Technical Review AWS Machine Learning 187

CIO

DECEMBER 10, 2024

NetApp believes that, even though many businesses will choose public cloud services for AI, there are compelling reasons why specific organizations may decide to run AI workloads in their private data centers or use a hybrid cloud model. Our comprehensive set of features goes beyond basic data cataloging.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

CIO

APRIL 11, 2024

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. Long-term aspirations What are Oracle’s long-term goals for the cloud?

Enterprise 187

Enterprise Artificial Inteligence Cloud Azure 187

CIO

MARCH 31, 2023

And for AMD’s most critical engineering applications, the answer remains its own data centers — not the cloud. Still, one year into his post, Ranjan says nearly 95% of AMD’s business applications run on public clouds. This tightly integrated process also guarantees data integrity and security. But that is changing.

Engineering 173

Engineering Data Center AWS Cloud 173

CIO

NOVEMBER 17, 2023

A multi-partnered strategy for multicloud success IHG, which got its start on the cloud five years ago, is also taking a hybrid approach, continuing to migrate and develop new workloads on Amazon Web Services and Google Cloud Platform as it maintains data centers on the east and west coasts of the US.

Hotels 199

Hotels Generative AI Architecture Travel 199

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 93

Course Training Artificial Inteligence Software Review 93

Palo Alto Networks

MAY 26, 2021

This significantly improves application performance, reduces costs and operational complexity, while extending cloud usage to simplify their complete end-to-end enterprise connectivity. Simultaneously, the new Google Cloud Network Connectivity Center accelerates how organizations build and access apps in a multicloud environment.

WAN 55

WAN Google Cloud Cloud Network 55

CIO

OCTOBER 22, 2024

The company’s recently announced plans to provide deep, seamless connectivity from Oracle Cloud Infrastructure to AWS , after similar announcements for Microsoft Azure and Google Cloud, have raised eyebrows. The project, Cloud Interlink, is being incubated in its Juniper Beyond Labs. “We

Strategy 193

Strategy AWS Cloud Data Center 193

CloudSphere

OCTOBER 29, 2019

The advantages of cloud computing are only expanding. Cisco predicts global cloud IP traffic will account for 95 percent of all data center traffic by 2021. SADA states, it’s not a matter of if an organization will transcend to the cloud; it’s a matter of when. Choosing a Cloud Computing Provider.

Google Cloud 40

Google Cloud Cloud Azure Machine Learning 40

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

ParkMyCloud

JUNE 25, 2019

Each availability zone consists of one to dozens of individual data centers. To visualize these data centers, check out AWS’s exploration of them here. . These range from core compute products like EC2 to newer releases like AWS Deepracer for machine learning. How big is AWS’s infrastructure?

AWS 80

AWS Google Cloud Data Center Azure 80

Palo Alto Networks

MAY 22, 2023

We received the highest scores out of all vendors in the Enterprise Edge and Distributed Enterprise use cases, and second highest scores in the Enterprise Data Center and SMB use cases. This is specifically targeted for the Enterprise Data Center, with up to 2x the performance of the previous generation PA-5200 Series.

Network 105

Network Report Firewall Data Center 105

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%).

Technical Review 204

Technical Review Pharmaceuticals Security Training 204

O'Reilly Media - Ideas

JUNE 11, 2019

Over the past decade, AI and machine learning (ML) have become extremely active research areas: the web site arxiv.org had an average daily upload of around 100 machine learning papers in 2018. We already have specialized hardware for inference (and even training—TPUs on the Google Cloud Platform).

Artificial Inteligence 111

Artificial Inteligence Tools Machine Learning Open Source 111

Kentik

AUGUST 3, 2021

Understanding the difference between hybrid cloud and multi-cloud is pretty simple. Below is a hypothetical company with its data center in the center of the building. The public clouds (representing Google, AWS, IBM, Azure, Alibaba and Oracle) are all readily available.

Weak Development Team 124

Weak Development Team Network Cloud Internet 124

CIO

JANUARY 26, 2023

Cost containment is a big issue for many CIOs now and the cloud companies know it. See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. Once your cloud commitment gets bigger, independent cost management tools start to become attractive.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 66

Course Training Artificial Inteligence Software Review 66

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. CIOs will rely upon migration assessment and planning activities to identify an optimal allocation of workloads across public and private cloud environments.

Cloud 78

Cloud Google Cloud Azure AWS 78

ParkMyCloud

MAY 14, 2020

Given that cloud computing has been a major draw of global energy in recent years, the amount of computing done in data centers more than quintupled between 2010 and 2018. But, the amount of energy consumed by the world’s data centers grew only six percent during that period, thanks to improvements in energy efficiency.

Sustainability 59

Sustainability Cloud Artificial Inteligence Data Center 59

O'Reilly Media - Ideas

JUNE 22, 2022

Of all jobs in the computing industry, cloud computing is probably the most amenable to remote work. You’re not reliant on your own company’s data center. If the application crashes in the middle of the night, nobody will be rushing to the machine room to reboot the server.

Survey 137

Survey Cloud Google Cloud Training 137

RapidValue

APRIL 20, 2020

As artificial intelligence (AI) and Machine Learning software advance, they can become increasingly valuable in assisting companies manage incoming loads. By analyzing the past and present data, these tools are able to bolster load balancing by helping to intelligently manage traffic across servers.

Load Balancer 80

Load Balancer Resources Cloud Performance 80

OTS Solutions

FEBRUARY 16, 2023

Private Cloud: Private clouds are distributed systems dedicated to a particular enterprise. Instead of pay-per-use as in public clouds, private clouds follow different billing systems that can be used by different departments. Some of the private clouds are HP Data Centers, Ubuntu, Elastic-Private cloud, Microsoft, etc.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Altexsoft

JULY 1, 2021

AIaaS or MLaaS stands for Artificial Intelligence (Machine Learning) as a service, which refers to AI solutions offered by an external provider. Microsoft Azure Machine Learning (Azure ML). Azure Machine Learning (Azure ML) enables the building and management of machine learning solutions in the cloud.

Artificial Inteligence 59

Artificial Inteligence Software Review Azure Machine Learning 59

DataRobot

SEPTEMBER 6, 2022

That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. Because it’s not just about the data itself, it’s about how you convey the value and solve use cases. See DataRobot AI Cloud in Action.

Analytics 52

Analytics Artificial Inteligence Data Machine Learning 52

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

DataRobot

SEPTEMBER 14, 2021

Now, data scientists , analytics experts , business users , and IT teams can collaborate in a single, unified platform. Now, all data from all sources can come together in a single system of record. Now, you can deploy AI anywhere, across multiple clouds, the data center, and the edge. Build With Us.

Data Center 52

Data Center Cloud Google Cloud Analytics 52

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. There are 175 different services available, and it also incorporates AI, machine learning, and 5G.

Engineering 52

Engineering Cloud Google Cloud Azure 52

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Machine Learning Artificial Inteligence Data Center 52

Altexsoft

JANUARY 22, 2020

As an analytical interface, the data pipeline can be plugged into Google Cloud BI. It can be used along with Google Data Studio as a data platform UI. The reason for that might be in a dedicated interface to work with tabular real-time data, and visualization of IoT streamed data.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

JANUARY 12, 2021

Cloudera provides its customers with a set of consistent solutions running on-premises and in the cloud to ensure customers are successful in their data journey for all of their use cases, regardless of where they are deployed. So, the public cloud is not always a good fit for every business needs. But what about the data?

Cloud 52

Cloud Data Google Cloud Load Balancer 52

Openxcell

NOVEMBER 27, 2023

They are thus able to make better use of their infrastructure and expand the scope of their data centers. Google Cloud Google Cloud migration provides different services and solutions for migrating information and applications to the Cloud.

Strategy 52

Strategy Cloud Tools Disaster Recovery 52

DataRobot

SEPTEMBER 14, 2021

DataRobot AI Cloud is the only platform on the market that offers straight through code, straight through automation, or any combination of these approaches in a unified environment that continuously learns. In true multi-cloud fashion, model training can be done in one cloud environment while model deployment can be done in another.

Cloud 52

Cloud Google Cloud Fashion Virtualization 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59