CIO

JUNE 11, 2024

Pegasystems has announced plans to expand the capabilities of its Pega GenAI enterprise platform by connecting to both Amazon Web Services (AWS) and Google Cloud large language models (LLMs). The announcement also underscores the rising importance of generative AI as a must-have functionality in the low-code market.

Artificial Inteligence 179

Artificial Inteligence Generative AI Google Cloud AWS 179

CIO

SEPTEMBER 9, 2024

Tencent Cloud’s expansion in Asia Pacific (APAC) reflects its strategic efforts to capitalize on the growing demand for Artificial Intelligence (AI) and cloud computing services.

Innovation 183

Innovation Marketing Azure Artificial Intelligence 183

CIO

DECEMBER 9, 2024

As AI offerings from cloud providers such as Microsoft Azure, AWS, and Google Cloud develop in 2025, we can expect to see more competitive pricing that could help keep a check on costs for enterprises. However, this will depend on the speed at which new AI-ready data centers are built relative to demand.

Enterprise 174

Enterprise Artificial Inteligence Off-The-Shelf Knowledge Base 174

DevOps.com

MARCH 2, 2020

OpsRamp added a recommendation engine to its artificial intelligence for IT operations (AIOps) platform that makes use of predictive analytics to suggest potential actions to either improve performance or avert downtime.

Engineering 108

Engineering Artificial Inteligence Artificial Intelligence Google Cloud 108

CIO

JANUARY 17, 2024

And last year, with AI-powered Insights Delivery, it completed a phase of its journey using artificial intelligence to transform the way it works and delivers insights to clients. “To Artificial Intelligence, CIO, Cloud Computing, Cloud Management, Digital Transformation, IT Leadership, Machine Learning, Microsoft Azure

Artificial Inteligence 179

Artificial Inteligence Artificial Intelligence Analysis Survey 179

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

DECEMBER 10, 2024

Google is making strides in developing specialized AI models, such as those tailored for healthcare applications like ultrasound image interpretation. Azures generative AI solutions integrate seamlessly with Microsofts ecosystem, offering a cohesive experience for organizations heavily invested in their products.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

CIO

DECEMBER 19, 2024

The tech professionals most in demand The most in-demand technical skills in the climate and greentech sector revolve around cloud computing, data analytics, IoT, and cybersecurity each playing a critical role in driving sustainable innovation, Breckenridge explains. Contact us today to learn more.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

CIO

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

Generative AI 170

Generative AI Artificial Inteligence Strategy Google Cloud 170

CIO

NOVEMBER 16, 2023

Second, the company funnels its engineers to a version of ChatGPT running on a private Azure cloud. Once the relevant information is retrieved from the vector database and embedded into a prompt, the query gets sent to OpenAI running in a private instance on Microsoft Azure. “We It’s blocked.”

Artificial Inteligence 209

Artificial Inteligence ChatGPT Open Source Azure 209

Tenable

MARCH 26, 2025

Why we conducted this research Using data collected over a two-year period, the Tenable Cloud Research team analyzed in-production workloads and assets across cloud and enterprise environments including Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP). So, too, in AI services.

Cloud 66

Cloud Weak Development Team Software Review Google Cloud 66

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights. The lakehouse as best practice.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

d2iq

APRIL 18, 2023

This includes the ability to easily manage clusters running on other distributions, including managed Kubernetes instances such as Amazon Elastic Kubernetes Service (EKS), Microsoft Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE). Other key enhancements in DKP 2.5 press release here.To

Cloud 113

Cloud Google Cloud Azure Artificial Intelligence 113

TechCrunch

FEBRUARY 16, 2021

“AWS, Azure and Google Cloud turned out to be too expensive,” Baghdasaryan said. Krisp has been optimizing and reoptimizing its algorithms to run efficiently on both Intel and ARM architectures, and decided to roll out its own servers for training its models instead of renting from the usual suspects.

Artificial Inteligence 248

Artificial Inteligence Machine Learning B2C Virtualization 248

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. Currently available for AWS and Azure.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

JULY 28, 2023

At the heart of JLL’s transformation into a technology provider is the cloud infrastructure JLL built using AWS, Google Cloud Platform, and Microsoft Azure, as well as Snowflake for data storage and Azure AI and Databricks for AI models. Artificial Intelligence, Digital Transformation

Real Estate 147

Real Estate Artificial Inteligence Generative AI Data Center 147

TechCrunch

AUGUST 23, 2022

But he sees the Qloo platform as complementary to competitors that operate more generalized recommendation engines like Amazon Personalize , Azure Recommendations API and Google Cloud’s Recommendations AI, as it putatively brings “turnkey knowledge” that they sometimes lack.

Knowledge Base 229

Knowledge Base Travel Film Media 229

TechCrunch

DECEMBER 5, 2022

But while the tech might be comparable, Twelve Labs is one of the first vendors to market with it; Google has opted to keep MUM internal, declining to make it available through a public-facing API. That being said, Google, as well as Microsoft and Amazon, offer services (i.e.,

Video 212

Video Technical Review Systems Review Google Cloud 212

O'Reilly Media - Ideas

JANUARY 22, 2019

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.

Systems Review 97

Systems Review Trends Engineering System 97

IDC

MAY 6, 2019

For companies that are committed to creating Digital Transformation (DX) within their organizations, artificial intelligence (AI) is a critical component. Artificial intelligence has been pushed to the top of the corporate agenda. How do you prioritize where to implement AI technologies and how to use AI most efficiently?

Strategy 98

Strategy Artificial Inteligence Artificial Intelligence How To 98

CIO

MARCH 8, 2023

Artificial intelligence (AI) projects are another useful example. IT teams want a unified solution they can use to manage all technology needs, from infrastructure as a service (IaaS) to platform as a service (PaaS) and container as a service (CaaS), that drive automation and orchestration that are not snowflakes,” says Lavista.

Cloud 154

Cloud Technical Review Quality Assurance Data Center 154

TechCrunch

JANUARY 19, 2022

.” More commonly, they may build new services in the cloud, which they will then run in tandem with legacy services, which are not. Even in those cases, he added, “we are part of that infrastructure on services like Azure, or Google Cloud or AWS, but they own it — not us.”

Banking 237

Banking Fintech Tools Google Cloud 237

CIO

AUGUST 21, 2024

More recently, Hughes has begun building software to automate application deployment to the Google Cloud Platform and create CI/CD pipelines, while generating code using agents. Today, the platform can support OpenAI, OpenAI on Azure, Google’s Gemini, or Anthropic’s Claude.

Software Review 204

Software Review Systems Review Technical Review Artificial Inteligence 204

CIO

AUGUST 5, 2022

Artificial intelligence (AI) projects are another useful example. IT teams want a unified solution they can use to manage all technology needs, from infrastructure as a service (IaaS) to platform as a service (PaaS) and container as a service (CaaS), that drive automation and orchestration that are not snowflakes,” says Lavista.

Technical Review 148

Technical Review Quality Assurance Data Center Systems Review 148

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Artificial Intelligence: An Overview of AI and Machine Learning , March 20. Next Generation Decision Making: Pragmatic Artificial Intelligence , March 20-21. Artificial Intelligence for Robotics , March 21-22. Artificial Intelligence: Real-World Applications , March 28. Blockchain.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

CIO

AUGUST 16, 2023

Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure. The Azure deployment gives companies a private instance of the chatbot, meaning they don’t have to worry about corporate data leaking out into the AI’s training data set.

Artificial Inteligence 148

Artificial Inteligence Generative AI Open Source ChatGPT 148

Altexsoft

JULY 23, 2020

According to Gartner, who coined the term in 2017, AIOps — or Artificial Intelligence for IT Operations — “combines big data and machine learning to automate IT operations processes.”. Source: Google Cloud. Microsoft Azure grants the opportunity to launch an MLOps using. A graph of a Kubeflow pipeline.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

AUGUST 22, 2024

Explorar cuestiones relacionadas Más recientemente, Hughes ha empezado a crear software para automatizar el despliegue de aplicaciones en Google Cloud Platform y crear canalizaciones CI/CD, al tiempo que genera código mediante agentes. Esto podría ampliarse hasta convertirse en la base del marco de IA agéntica de la empresa.

Artificial Inteligence 173

Artificial Inteligence Azure Google Cloud Software 173

CIO

MAY 1, 2024

For example, many Google customers, like Goldman Sachs, IHG, and Mercedes Benz, talking about building with its Gemini gen AI tools at the recent Google Cloud Next conference turned out to still be at the pilot stage rather than in deployment. Pilots can offer value beyond just experimentation, of course.

Generative AI 215

Generative AI Artificial Inteligence Metrics Training 215

O'Reilly Media - Ideas

MARCH 11, 2025

The US is proposing investing $500B in data centers for artificial intelligence, an amount that some commentators have compared to the USs investment in the interstate highway system. Amazon Web Services, Microsoft Azure, Google Cloud, and many smaller competitors offer hosting for AI applications.

Data Center 64

Data Center Training Off-The-Shelf Artificial Intelligence 64

O'Reilly Media - Ideas

JUNE 4, 2019

Artificial Intelligence: An Overview of AI and Machine Learning , July 15. Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Getting Started with Google Cloud Platform , June 24. Azure Architecture: Best Practices , June 28. CCNA Cyber Ops SECFND 210-250 , August 13.

Course 93

Course Training Artificial Inteligence Software Review 93

Tenable

JULY 19, 2024

The guide is aimed at helping organizations understand cloud computing components and cloud security best practices. That’s according to the latest “ Google Cloud Threat Horizons Report, ” which is based on data gathered during the first half of 2024. CIS Google Kubernetes Engine (GKE) Benchmark v1.6.0

Weak Development Team 81

Weak Development Team Cloud Report Software Review 81

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Cloud Computing in Mobile App Development The integration of Industry 4.0 The fourth industrial revolution or Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Altexsoft

JULY 1, 2021

They also provide unique capabilities that would be very difficult to set up in house, such as large-scale database infrastructure, artificial intelligence (AI) and desktop virtualization. AIaaS or MLaaS stands for Artificial Intelligence (Machine Learning) as a service, which refers to AI solutions offered by an external provider.

Artificial Inteligence 59

Artificial Inteligence Software Review Azure Machine Learning 59

CIO

AUGUST 27, 2024

Skillington señala Snowflake, AWS Redshift, BigQuery de Google Cloud Platform y Microsoft Azure Synapse Analytics como algunas de las herramientas que ofrecen a las organizaciones los medios para consolidar, acceder y analizar grandes cantidades de datos.

LAN 179

LAN Virtualization Azure WAN 179