Existek

MAY 8, 2023

NET is a free, open-source, cross-platform framework developed by Microsoft that is used to build various types of applications, including desktop, web, mobile, gaming, and other applications. With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. List of the Content What is.NET?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

NET is a free, open-source, cross-platform framework developed by Microsoft that is used to build various types of applications, including desktop, web, mobile, gaming, and other applications. With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. List of the Content What is.NET?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

InfoBest

MARCH 28, 2023

In simple words,NET is a free, open-source, cross-platform framework developed by Microsoft for building applications. Well, let’s go ahead and have a quick look at the top.NET trends to dominate this year: Azure Cloud Development It is safe to say that cloud computing is the future. What is.Net?

Software Review 52

Software Review Machine Learning Artificial Inteligence .Net 52

Gorilla Logic

NOVEMBER 13, 2019

NET Core is an open-source, free, multi-platform framework from Microsoft; it replaces.NET Framework.NET Core 3.0 The open-source philosophy behind.NET Core, combined with its features, makes it increasingly popular with developers.NET Core is one of the faster frameworks in the market. was released in September 2019.

.Net 91

.Net Open Source Azure Scalability 91

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.". Making real-world distributed deep learning easy with Nauta.

Artificial Inteligence 88

Artificial Inteligence Artificial Intelligence Conference Machine Learning 88

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

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

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

Capgemini

JANUARY 17, 2023

Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines. As the adoption of cloud-based technology grows, many look for solutions that can move across major clouds (such as those from AWS, Azure, and Google Cloud).

Strategy 52

Strategy Technical Review Data Artificial Inteligence 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

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

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

CloudSphere

OCTOBER 29, 2019

By migrating services, resources and applications to the cloud, companies are attaining greater agility, scalability, redundancy and cost savings. Like the automotive industry, there are three domestic primary players providing cloud-computing services; AWS (Amazon), Azure (Microsoft) and Google Cloud.

Google Cloud 40

Google Cloud Cloud Azure AWS 40

Capgemini

MARCH 13, 2023

Intel also launched its 4 th Gen Intel Xeon Scalable processors with Intel vRAN Boost, which can deliver capacity gains and power savings for telcos. Microsoft launched ‘Azure Operator Nexus,’ a hybrid cloud platform that allows CSPs to run their carrier-grade workloads both on-premises and on Azure.

Energy 52

Energy Wireless Artificial Inteligence Technical Review 52

CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. We use AWS and Azure.

Generative AI 317

Generative AI Artificial Inteligence ChatGPT Azure 317

Xicom

JANUARY 13, 2021

There is a substantial core behind developers’ bold claim – “Zend is the fastest way to enterprise PHP” created for scalability as well as safety, it shed light on these critical capabilities: Impeccable level of compliance and security. Microsoft Azure. Image Source. Ready-to-use design templates.

Software Review 52

Software Review Software Development Systems Review Technical Review 52

Cloudera

JUNE 7, 2022

We can also do it with your preferred cloud – AWS, Azure or GCP. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 112

Data Architecture Analytics Government 112

ParkMyCloud

DECEMBER 5, 2019

A while back, we also asked the same question about Azure vs AWS. After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is maintaining a steady lead, and Google is stepping in. Microsoft Azure reported a revenue growth rate of 59%.

Google Cloud 57

Google Cloud AWS Cloud Azure 57

Algolia

OCTOBER 1, 2019

Notable Features: Powered by AI and machine learning, Cludo offers an easy setup, an in-depth analytics dashboard, smart banners, related searches, and customizable search rankings. Microsoft Azure Search. On the Microsoft Azure cloud, Azure Search offers AI-powered customized search results. Open source Solutions.

Open Source 42

Open Source Azure UI/UX AWS 42

John Snow Labs

JUNE 1, 2023

A common approach is to train machine learning models on large datasets of annotated texts that indicate the presence of ADEs. John Snow Labs’ Healthcare NLP is an open source text processing NLP library for Python , Java, and Scala. Extracting conditions and benefits from drug reviews using techniques such as NER.

Healthcare 52

Healthcare Software Review Systems Review Technical Review 52

Strategy Driven

MAY 26, 2021

However, where AI is different is in its machine learning capabilities. What is Machine Learning? What is machine learning ? Well, machine learning is the concept of an AI developing its own repeatable output based on the data analysis from repeated input. Common AI and Machine Learning Tools.

Artificial Inteligence 36

Artificial Inteligence Machine Learning Tools Azure 36

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. How scalable do you need your solution to be?

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

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 Azure Software Review Google Cloud 59

Xicom

SEPTEMBER 26, 2018

You talk to any Software developer and he will agree that right now machine learning is the hottest and latest trends in software development market. Researchers believe that Machine Learning is going to totally transform the web development process of many types, including web and mobile applications development.

Machine Learning 40

Machine Learning Artificial Inteligence Web Development Development 40

Exadel

DECEMBER 4, 2019

We found that our commitment to agile development, open source and innovation-based technologies helped organizations create and maintain amazing products and platforms the most effectively. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). AEM Authoring Toolkit. International Expansion.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Datavail

JUNE 8, 2023

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. Doughty also discussed how automation and cloud adoption are changing traditional DBA duties as well as providing a platform for greater efficiency and scalability.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Scalability is also a significant challenge for financial services software development. Spring is a popular open-source framework for building Java applications.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JANUARY 22, 2020

Originally developed by LinkedIn as a messaging queue application, Apache Kafka been open-sourced and donated to Apache in 2011. After that, Kafka evolved into an open-source data-streaming platform. Amazon Kinesis Streams is a scalable and customizable solution for processing and analyzing data streams.

Analytics 20

Analytics Data IoT Analysis 20

TechCrunch

DECEMBER 1, 2020

And because of its unique qualities, video has been largely immune to the machine learning explosion upending industry after industry. But consider this: many new phones ship with a chip designed for running machine learning models, which like codecs can be accelerated, but unlike them the hardware is not bespoke for the model.

Video 252

Video Artificial Inteligence Hardware Technical Cofounder 252

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

DevOps 143

DevOps Data Software Review Technical Advisors 143

Altexsoft

DECEMBER 14, 2020

Unstructured data, on the other hand, offers more flexibility and scalability. Such databases can process huge volumes of data and deal with high user loads as they are quite flexible and scalable. One of the most popular open-source RDBMSs that is fast and reliable. In these collections, there are so-called documents.

Data 93

Data Artificial Inteligence Storage Analytics 93

Openxcell

FEBRUARY 8, 2023

It is built to be scalable, light, and quick. On.Net Core platforms, you can build and run web, mobile, desktop, IoT, AI, machine learning, and gaming applications. Cross-platform Unlike in the past, choosing the Microsoft Framework does not automatically mean adopting the Windows Server or Azure infrastructure.

.Net 52

.Net Comparison Windows Open Source 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. Scalability. Source: Qubole. Please note! Apache Airflow.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. The software part is open-source, free of charge, and easy to set up. Scalability. In the former case, you increase the capacity of separate machines by adding CPU or RAM.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

APRIL 26, 2022

This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Source: Snowflake. Great performance and scalability. Snowflake architecture overview.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Private cloud adoption also increased with VMware vSphere with 50% adoption, followed by Open Stack with 24%. Competition between the leading cloud providers will increase, resulting in more services available for infrastructure as a service, integrations and open source, analytics, compliance, and hybrid cloud capabilities.

Cloud 49

Cloud AWS Azure Data Center 49

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning. Alternatives are emerging.

Trends 136

Trends Technical Review Technology Software Review 136