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

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. . Let’s talk. Talk to us.

Software Review 94

Software Review Technical Review Software Development Team Review 94

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 49

Course Artificial Inteligence Training Google Cloud 49

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

Openxcell

MARCH 15, 2023

. – Evans Data The state of software development in 2023 The year 2022 will be remembered for the convergence of business and technology under the banner of value stream management, with an increased emphasis on safety and security in software, and the increased use of microservices. Currently, software development has a market value of $260.38

Software Development 52

Software Development Software Review Trends Software 52

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

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

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

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. Bias and fairness issues. Why the change?

Artificial Inteligence 11

Artificial Inteligence Blockchain Architecture Artificial Intelligence 11

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

Existek

OCTOBER 7, 2021

Probably the most obvious thing is replacing a whole department of consultants with chatbots built with artificial intelligence and machine learning. There are many development methodologies, like Waterfall, V-shaped, Spiral, but we work with the Agile approach. Blockchain. Microservices. Cybersecurity.

Fintech 52

Fintech Development UI/UX Artificial Inteligence 52