Invid Group

FEBRUARY 28, 2023

Artificial intelligence and machine learning Software development is already evolving due to artificial intelligence (AI) and machine learning (ML), and this trend is expected to continue. The rising popularity of cloud-based services and IoT devices drive the demand for security solutions.

Software Review 52

Software Review Software Development Trends Artificial Inteligence 52

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Palo Alto Networks

SEPTEMBER 16, 2021

The number of mobile endpoints are exploding due to more IoT devices and a distributed workforce. Meanwhile, learned habits are not serving us well. Machine-learning-based and cloud-based threat intelligence provides rapid response to threats. security camera, MRI machine, etc.).

Firewall 77

Firewall IoT Artificial Inteligence Software Review 77

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Protera

SEPTEMBER 25, 2018

Basic factors like hosting costs, scalability and agility just make on premise to cloud migration the logical choice. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Cloud innovation in other areas has been just as rapid.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning.

Course 59

Course Artificial Inteligence Training Blockchain 59

O'Reilly Media - Ideas

APRIL 3, 2019

Learn new topics and refine your skills with more than 150 new live online training courses we opened up for April and May on the O'Reilly online learning platform. AI and machine learning. Deep Learning from Scratch , April 19. Beginning Machine Learning with Pytorch , May 1. Blockchain.

Course 49

Course Artificial Inteligence Training Google Cloud 49

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Machine learning. Business apps.

Azure 52

Azure AWS Cloud How To 52

Datavail

AUGUST 5, 2021

Azure Machine Learning. Machine learning and artificial intelligence (AI) have been cited as keys to digital transformation for organizations of all sizes and industries. Azure Machine Learning is Microsoft’s “machine learning as a service” offering in the Azure cloud, making it easier for businesses to enjoy AI insights.

Azure 52

Azure Software Development Artificial Inteligence Software 52

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. In the most critical use cases, every seconds counts.

Analytics 20

Analytics Serverless Blockchain Microservices 20

ParkMyCloud

APRIL 23, 2019

This list is broken down by category, including Analytics, Blockchain, Compute, Database, Internet of Things, Machine Learning, and Security. Amazon Managed Blockchain makes it easy to create and manage scalable blockchain networks. AWS IoT Events. AWS IoT SiteWise. See all 170 services here: AWS Services List.

AWS 52

AWS IoT Blockchain Machine Learning 52

TIBCO - Connected Intelligence

OCTOBER 8, 2019

There are real benefits to developing event-driven apps and architecture—to provide a more responsive and scalable customer experience. Event-driven APIs are able to deliver real-time responsiveness, support microservices for optimal agility, and enable scalability. Digital business can’t exist without event-driven thinking.

Microservices 4

Microservices Open Source Scalability Architecture 4

Openxcell

FEBRUARY 7, 2023

Modern.NET platform versions allow programmers to create applications for various platforms, including mobile, desktop, online, machine learning, IoT, and gaming. More serverless computing using.NET Core Serverless computing is the prevalent cloud computing technology because it helps organizations extend application operations.

Weak Development Team 52

Weak Development Team Technical Review Development How To 52

Openxcell

MAY 12, 2023

: An overview A cloud service platform offered by Amazon, known as AWS or Amazon Web Services, provides users with a range of services, including computation, storage, analytics, databases, networking, mobile, developer tools, management tools, and IoT. The market for cloud computing is dominated by AWS ever since.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

OTS Solutions

FEBRUARY 16, 2023

With public clouds, users can get a completely isolated virtual environment to complete their IT (Information Technology) needs. Advantages of Public cloud: It offers high scalability. This also involves machine learning and natural language processing. It is a cost-effective option.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Machine learning. For this, we have a short, engaging video. How data engineering works in a nutshell. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Progress

JANUARY 31, 2019

Being a Node developer can span across many different types of programming these days because Node can be used for so much, from frontend to backend, machine learning to IoT. One of the benefits of Node is the ability to keep your code scalable and modularized. That is to say, one app that does one job. Built-in Security.

Development 40

Development Microservices Serverless Scalability 40

Confluent

FEBRUARY 13, 2019

Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. It is very simple but presents scalability challenges. In the event-driven world, we’d build a scalable model where the event streams flow between processors. An example might be an IoT device, transaction-id or some other natural key.

Architecture 88

Architecture Programming Microservices Serverless 88

Mentormate

JANUARY 7, 2021

Below is a review of the main announcements that impact compute, database, storage, networking, machine learning, and development. As an AWS Advanced Consulting partner , MentorMate embraces continuous learning as much as AWS does. Serverless fans rejoice! This is another great serverless development.

AWS 98

AWS Lambda Software Review Serverless 98