CIO

JANUARY 17, 2024

Plus, it helps with scalability — helping to handle large volumes of data and complex analysis without compromising performance or quality through cloud computing — and innovation by incorporating new features and functionalities into its deliverables, using the latest technologies and tools available.

Artificial Inteligence 299

Artificial Inteligence Artificial Intelligence Analysis Azure 299

CIO

JANUARY 8, 2024

To date, the carrier has migrated an estimated 98% of its 400 applications, mostly to AWS, but with some workloads on Azure and a plan for further “rebalancing” cloud providers to ensure Cathay is not locked in to any one vendor, Nair says. The cloud has helped us to be more scalable and agile.”

Airlines 294

Airlines Cloud Blockchain Generative AI 294

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. These things have not been done at this scale in the manufacturing space to date, he says. Smart manufacturing at scale.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

CIO

SEPTEMBER 10, 2022

American Airlines has partnered with Microsoft to use Azure as its preferred cloud platform for its airline applications and key workloads. Combining automation with machine learning for natural language processing is very effective in helping solve many customer-facing issues.”. The importance of culture.

Airlines 363

Airlines Analytics Travel Weak Development Team 363

TechCrunch

FEBRUARY 17, 2021

“TigerGraph is leading the paradigm shift in connecting and analyzing data via scalable and native graph technology with pre-connected entities versus the traditional way of joining large tables with rows and columns,” said TigerGraph founder and CEO, Yu Xu. ”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. Examples of cloud computing services are Amazon Web Service (AWS), Microsoft Azure, Google Cloud Platform, etc.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

CIO

FEBRUARY 22, 2024

Plus, to provide all its businesses with the ability to obtain information in record time, the company has been working with gen AI and LLMs, specifically Azure OpenAI, since December 2022. So projects to analyze huge amounts of data in multiple formats already in production are now considerably more efficient and cost effective.

Artificial Inteligence 264

Artificial Inteligence IoT Technical Review Artificial Intelligence 264

OTS Solutions

JUNE 2, 2023

Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

The Crazy Programmer

SEPTEMBER 25, 2023

It offers the most intuitive user interface & scalability choices. Features: Friendly UI and scalability options More than 25 free products Affordable, simple to use, and flexible Range of products Simple to start with user manual Try Google Cloud Amazon AWS Amazon Web Services or AWS powers the whole internet.

Serverless 180

Serverless AWS Google Cloud Azure 180

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. Major Players for AI in the Cloud For the scope of this article, AI is defined as machine learning, since ML is the biggest constituent of the technology.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Dental company SmileDirectClub has invested in an AI and machine learning team to help transform the business and the customer experience, says CIO Justin Skinner.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Cloudera

OCTOBER 13, 2020

CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. Under the covers, Operational Database leverages HBASE and allows end users to create databases without having to worry about infrastructure requirements .

Cloud 90

Cloud Machine Learning Artificial Inteligence Azure 90

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. As more financial companies embrace the cloud, there’s been an increase in demand for data engineers to help manage AWS and Azure services in the organization. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. As more financial companies embrace the cloud, there’s been an increase in demand for data engineers to help manage AWS and Azure services in the organization. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

MAY 12, 2023

And the results are truly multicloud, as Hannah has opted to work with all the top cloud vendors to fill the company’s various back-office needs — AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud — as well as Workday for HR and other SaaS vendors for specific needs.

Strategy 246

Strategy Disaster Recovery Weak Development Team Cloud 246

High Scalability

JANUARY 11, 2022

Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience.

Machine Learning 133

Machine Learning Artificial Inteligence Storage Media 133

Cloudera

AUGUST 3, 2018

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability.

Azure 40

Azure Analytics Machine Learning Artificial Inteligence 40

Perficient

DECEMBER 7, 2023

These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker. Employing technologies like SQL for data querying, Python or R for data analysis, and machine learning algorithms for predictive insights can be highly beneficial.

How To 52

How To Scalability Analytics Google Cloud 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Perficient

NOVEMBER 28, 2023

This results in scalable and flexible software , able to adapt to changing demands and decoupled to offer flexibility in services as the challenge arises. The scalability of our system extends to the cloud, working with providers such as Amazon AWS and Microsoft Azure in their commercial and government versions.

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

InfoBest

MARCH 28, 2023

It provides a consistent and comprehensive programming model for building web, desktop, and mobile applications.NET Technology and Its Features The.NET framework is designed to be scalable, secure, and reliable, making it well-suited for developing mission-critical applications.

Software Review 52

Software Review Machine Learning Artificial Inteligence .Net 52

O'Reilly Media - Ideas

APRIL 17, 2019

Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more. Machine learning for personalization. Watch " Machine learning for personalization.". to Azure ML. to Azure ML.". Applied machine learning at Facebook.

Artificial Inteligence 85

Artificial Inteligence Artificial Intelligence Conference Machine Learning 85

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

TechCrunch

MAY 15, 2023

.” To that end, Together is building a cloud platform for running, training and fine-tuning open source models that the co-founders claim will offer scalable compute at “dramatically lower” prices than the dominant vendors (e.g., Google Cloud, AWS, Azure).

Open Source 229

Open Source Generative AI ChatGPT Hardware 229

InnovationM

MAY 14, 2023

Platforms like Hadoop Distributed File System (HDFS) or cloud-based storage solutions such as Amazon S3 and Azure Data Lake Storage offer fault-tolerant and scalable storage capabilities across clusters of machines. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This makes them ideal for more advanced analytics activities, including real-time analytics and machine learning. Transformation section. Processed data section.

Architecture 52

Architecture Data Storage Machine Learning 52

Gorilla Logic

NOVEMBER 13, 2019

This is a safe and scalable way to do it. Microsoft provides a suite of tools for different platforms that are designed and optimized for.NET Core, such as Visual Studio for Windows, MAC and Azure—the cloud service provided by Microsoft that has many tools for deploying and building applications.

.Net 91

.Net Open Source Azure Scalability 91

CTOvision

FEBRUARY 20, 2015

This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments. Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Agile Engine

FEBRUARY 20, 2019

Trend 2: Machine Learning is the New Black. Now that Big Data is officially a boring technology, machine learning became another buzzword hitting the spotlight. In August 2018, deep learning reached the peak of Gartner’s Hype Cycle for Emerging Technologies. Microsoft Azure. Azure Blob Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

Perficient

MAY 23, 2023

Real-time data analytics and machine learning algorithms allow manufacturers to monitor and optimize operations, enabling predictive maintenance, minimizing downtime, and improving overall productivity. The streaming is handled via a scalable Kubernetes cluster hosted in AWS with an Apigee API Management layer.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Prisma Clud

SEPTEMBER 21, 2023

By offering flexibility and scalability, the Zero Trust model allows organizations to adapt their security measures to evolving needs and workloads, maintaining strong security postures in the face of emerging threats and changing technologies.

Cloud 105

Cloud Network Policies Machine Learning 105

Datavail

JULY 7, 2022

Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. Artificial intelligence and machine learning. Last but not least, legacy analytics systems are often incompatible with the latest AI and machine learning techniques.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Mobilunity

MAY 20, 2021

Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. There are 175 different services available, and it also incorporates AI, machine learning, and 5G.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

Capgemini

OCTOBER 2, 2019

It improves agility, streamlines development and deployment operations, increases scalability, and optimizes resources, but choosing the right container orchestration layer for applications can be a challenge. AKS supports common tools such as TensorFlow and Kubeflow to simplify the training of machine-learning models.

Azure 40

Azure IoT Microservices Load Balancer 40