Data Engineering DevOps Retail 
Trigent
JUNE 20, 2022
To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.
CIO
OCTOBER 1, 2022
P&G also uses predictive analytics to help ensure the company’s products are available at retail partner “where, when, and how consumers shop for them,” Cretella says, adding that P&G engineers also use Azure AI to ensure quality control and equipment resilience on the production line.
Battery Ventures
OCTOBER 7, 2020
From big-data analytics enabling vaccine research, to mobile applications delivering telemedicine, to digital storefronts enabling restaurants and retailers to stay in business, there is a broad opportunity today for organizations to innovate and transform thanks to enabling cloud technologies companies.
Kentik
MARCH 7, 2023
Here are two scenarios from current and former clients managing data gravity and how network observability could have been used to triage or prevent the issue. Unexpected traffic patterns For the first case study, I want to discuss an international DevOps team using a 50-node Kubernetes cluster.
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.
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.
OpenCredo
JULY 31, 2018
Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. Agile and DevOps practices enable the continuous delivery of business value through productionised machine learning models and software delivery.
Expert insights. Personalized for you.
52 
Let's personalize your content