Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Openxcell

MARCH 15, 2023

Treinetic Integrating artificial intelligence into software is one of the major trends in software development. Artificial Intelligence Artificial Intelligence has emerged as a key participant in the tech sector as the world constantly changes. as their main web framework.

Software Development 52

Software Development Software Review Trends Software 52

O'Reilly Media - Ideas

DECEMBER 5, 2018

Artificial intelligence and machine learning. Artificial Intelligence for Robotics , January 24-25. Artificial Intelligence: Real-World Applications , January 31. Fundamentals of IoT with JavaScript , February 14-15. Microservices Architecture and Design , January 16-17.

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Artificial Inteligence Course Training Blockchain 102

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. IoT development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. IoT development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

O'Reilly Media - Ideas

SEPTEMBER 1, 2020

A draft document from NIST describes Four Principles of Explainable Artificial Intelligence. Cloud and Microservices. K3s is a stripped-down Kubernetes designed (among other things) for IoT and Edge Computing. Microsoft announces Open Service Mesh for managing communications between microservices. Is this it?

Trends 133

Trends Artificial Inteligence Blockchain Software Review 133

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Apiumhub

SEPTEMBER 14, 2022

We participated in the previous edition as speakers and we absolutely loved it, can’t wait to attend this event again! <React Global> Online Summit (November 8-9). Before the online edition, you have a chance to attend a 100% offline event dedicated to software architecture that will take place in Barcelona (October 3-4).

Software 65

Software DevOps Architecture Blockchain 65

Mentormate

JANUARY 24, 2022

They also interact with it on virtual assistants , smartwatches, and a whole host of IoT devices. DXPs use artificial intelligence and machine learning to assist with the governance and management of digital experiences at this largest scale. You’ve no doubt heard by now that “content is king” — that’s been true for some time.

Enterprise 98

Enterprise Technical Advisors Artificial Inteligence Government 98

Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

IDC

APRIL 17, 2019

With hyper-agile architectures that embody containers, microservices and cloud functions, cloud content apps will benefit in allowing non-developers to assemble components to meet specific organization needs and add valuable business logic on top. The Benefits of Agile Cloud Content Apps.

Agile 60

Agile Innovation Artificial Inteligence Cloud 60

Trigent

MARCH 24, 2021

The rapid acceleration of digital transformation initiatives in the modern business landscape has brought emerging technologies such as artificial intelligence, machine learning, and automation to the fore. Artificial intelligence, machine learning, big data have all been spoken about extensively and form the very backbone of AIOps.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Linux Academy

JANUARY 26, 2019

Big Data systems feeding machine learning and artificial intelligence are a prime example of why cloud computing is growing faster than any other segment of the computing infrastructure industry. Consumers will soon go beyond smartphones and tablets and start using wearables, connected cars, and other IoT devices more than ever before.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Robotics , January 24-25. Artificial Intelligence: Real-World Applications , January 31. Artificial Intelligence for Big Data , February 26-27. Fundamentals of IoT with JavaScript , February 14-15. Microservice Fundamentals , January 10. Clean Code , February 15.

Course 57

Course Artificial Inteligence Training Blockchain 57

Trigent

APRIL 14, 2022

With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale. When Gartner coined the term AIOps, it meant Artificial Intelligence for IT Operations (or Algorithmic IT operations). And that can be a cause for worry.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

While the majority of the IoT products, services, and platforms are supported by cloud-computing platforms, the increasing high volume of data, low latency and QoS requirements are driving the need for mobile cloud computing where more of the data processing is done on the edge.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

MAY 1, 2019

Artificial Intelligence: AI for Business , July 2. IoT Fundamentals , June 17-18. Deploying Container-Based Microservices on AWS , June 10-11. Microservices Caching Strategies , June 17. Microservice Fundamentals , July 10. Microservice Collaboration , July 11. Blockchain. Network DevOps , June 6.

Course 45

Course Training Artificial Inteligence Machine Learning 45

O'Reilly Media - Ideas

APRIL 3, 2019

Artificial Intelligence: An Overview of AI and Machine Learning , May 15. Artificial Intelligence: Real-World Applications , May 29. IoT Fundamentals , May 16-17. Microservices Caching Strategies , May 17. Hands-On Machine Learning with Python: Classification and Regression , May 9. Blockchain.

Course 47

Course Artificial Inteligence Training Google Cloud 47

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Artificial Intelligence: An Overview of AI and Machine Learning , March 20. Machine Learning for IoT , March 20. Next Generation Decision Making: Pragmatic Artificial Intelligence , March 20-21.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Artificial Intelligence: AI For Business , May 1. Building Intelligent Bots in Python , May 7. IoT Fundamentals , April 4-5. Microservice Fundamentals , April 15. Microservice Collaboration , April 16. Microservice Fundamentals , May 28.

Course 10

Course Artificial Inteligence Training Microservices 10

Apiumhub

SEPTEMBER 20, 2023

From software architecture to artificial intelligence and machine learning, ​​these conferences offer unparalleled insights, networking opportunities, and a glimpse into the future of technology. In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. Interested in attending?

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Conference Artificial Inteligence UI/UX Machine Learning 96

OTS Solutions

DECEMBER 4, 2023

This approach enables real-time data processing and enables new applications in areas like autonomous vehicles, IoT, and smart cities. Containerization and Microservices Containerization and microservices are revolutionizing the deployment and management of applications within private cloud environments.

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Altexsoft

MARCH 30, 2020

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. Splunk , an industrial analytical tool already integrated with leading IoT platforms.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait

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Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Datavail

AUGUST 5, 2021

In a previous blog post, we discussed a number of ways that you can modernize your legacy applications, including cloud migrations, microservices and DevOps. Machine learning and artificial intelligence (AI) have been cited as keys to digital transformation for organizations of all sizes and industries. Azure Machine Learning.

Azure 52

Azure Software Development Artificial Inteligence Software 52

O'Reilly Media - Ideas

JUNE 4, 2024

It’s ideal for designing APIs and microservices. A good linear algebra library is a basic requirement for numerical computation, including machine learning and artificial intelligence. The UK has banned guessable default passwords on IoT devices. Faer is a new Rust library for linear algebra.

Artificial Inteligence 96

Artificial Inteligence Trends 3D Software Review 96

Agile Engine

DECEMBER 3, 2023

35–48% savings reported by AWS for companies like Koch and Parsons 50% increase in costs reported by clients due to unoptimized AWS infrastructure Our experience: cutting AWS bills by up to 80% The optimization of AWS infrastructure and use has been a part of several of our projects focused on DevOps, microservices, and cloud migration.

UI/UX 52

UI/UX Budget Applications Technical Review 52

Palo Alto Networks

FEBRUARY 19, 2021

These organizations are looking beyond short-term benefits and investing in a cloud foundation to increase competitiveness, so as to accommodate technologies such as artificial intelligence (AI), advanced data analytics, IoT and edge computing.

Enterprise 78

Enterprise Cloud Serverless Artificial Intelligence 78

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). Streaming, IoT, and time series mature. Stream” itself was No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

CIO

JANUARY 24, 2024

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). There are different architectural styles, like Layered and Microservices, each with its own pros and cons. Artificial Intelligence, Business Process Management

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Artificial Inteligence Architecture Artificial Intelligence Machine Learning 297