CIO

JUNE 16, 2023

The Dallas-based money transfer service provider continues to derive roughly half its annual revenue from traditional sources: international money transfers at retail storefronts and customers paying down payments for cars and rent by purchasing money orders. For example, in Mexico, the company’s market remains 95% cash pickup.

Retail 246

Retail Microservices Analytics Fintech 246

Trigent

APRIL 14, 2022

Be it in a user’s hands, PoS (Point of Sale) at a retail counter, manufacturing assembly line, or CSP (cellular service provider), the edge has moved closest to the point where it needs to be. Real-time monitoring and analytics are logged for a supervisor to check and intervene if necessary.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 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

O'Reilly Media - Ideas

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondent organizations use microservices. Microservices Achieves Critical Mass, SRE Surging. All told, we received 1,283 responses.

Cloud 143

Cloud Microservices Serverless Survey 143

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

A person who manages a data science or data engineering team—or, for that matter, a DevOps or AIOps practice—functions for all intents and purposes as an interface between her team(s) and the person (also typically a manager) to whom she directly reports. This last point is important. She’s “management,” but she’s still at the front line.

Weak Development Team 126

Weak Development Team Data Technical Review Survey 126

d2iq

MAY 9, 2022

We already see AI in digital assistants like Siri and Alexa, chatbots on websites, recommendation engines on retail sites, in predictive analytics for product sales and equipment failure, for fraud detection, credit scoring, cyber security, robotics in factories, intelligent process automation, and many more.

Cloud 114

Cloud Open Source Artificial Inteligence Data Center 114