O'Reilly Media - Ideas

APRIL 3, 2019

Get hands-on training in TensorFlow, cloud computing, blockchain, Python, Java, and many other topics. 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. Blockchain.

Course 47

Course Artificial Inteligence Training Google Cloud 47

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

Apiumhub

SEPTEMBER 14, 2022

Other topics that will be covered during the event will be eBPF, Design for Sustainability, Design for portability, GraphQL Federation, Data + Architecture, Data Mesh, Policy as Code, Blockchain, HTTP/3, Architecture Decision Records, Dapr & WebAssembly – what’s new for 2023?,

Software 65

Software DevOps Architecture Blockchain 65

Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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. Learn more about the speakers and check out their schedule by visiting their site here. Interested in attending?

Conference 95

Conference Artificial Inteligence UI/UX Machine Learning 95

O'Reilly Media - Ideas

MARCH 12, 2019

Machine Learning / Artificial Intelligence. Few technologies have the potential to change the nature of work, of the firm, and how we live as machine learning (ML) and artificial intelligence (AI). The time and resources required to train machine learning models.

Artificial Inteligence 10

Artificial Inteligence Blockchain Architecture Artificial Intelligence 10

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. Agile excellence is at the core of all we do and receiving this recognition amplified and validated this principle.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

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

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Xebia

DECEMBER 17, 2021

TLDR: if you do sprints you might not be actually doing Agile. And if your organization’s development process performs linearly, don’t bury it under the agile elements. . It seems that, unless you’re doing some variant of agile development (even in name only ), you’re doing it wrong. . Welcome to Agile.

Software Review 130

Software Review Agile Technical Review SCRUM 130

Xicom

AUGUST 30, 2021

But, now is the right time when fintech moves past the primary amenities of just online payments and sheaths everything under the app development process; varying from credit risks to running hedge funds with the help of emerging technologies like Blockchain, Machine Learning algorithms and data science. . Finastra ).

Fintech 52

Fintech Trends Development Blockchain 52

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

Existek

OCTOBER 7, 2021

Speaking about big data, artificial intelligence is the first thing that comes to mind. What languages are the best for AI programming? Want to know what technologies are most commonly used to create artificial intelligence components and their pros and cons? Blockchain. Microservices. Cybersecurity.

Fintech 52

Fintech Development UI/UX Artificial Inteligence 52

LaunchDarkly

JANUARY 17, 2019

IBM Developer is a community of developers learning how to build entire applications with AI, containers, blockchains, serverless functions and anything else you might want to learn about. We have customers like IBM who use us to manage microservices. Get ideas for how to solve a problem at your job. INTERVIEW].

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

TIBCO - Connected Intelligence

DECEMBER 20, 2021

Enhancements in the Unify portfolio address organizations’ data management challenges head-on, empowering the business to assemble an agile data fabric, unrestricted by siloed data, on any cloud platform. This capability combines microservices and APIs, case management, decision management, and analytics into a single unified application.

Innovation 26

Innovation Analytics Virtualization Cloud 26

Confluent

OCTOBER 10, 2019

Machine learning plays a huge role in many of these use cases, regardless of the industry, and you can read Using Apache Kafka to Drive Cutting-Edge Machine Learning for more insights. Agile development and loose coupling: different sources and sinks should be their own decoupled domains. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20