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Data Reply has developed a quantum algorithm that allows you to quickly plan the maintenance work performed by units operating throughout Italy. The solution also makes the use of resources more efficient, thus reducing costs. This algorithm brings added value to Enel's business by supporting the multinational in its decision-making process, with a high impact on planned daily activities
specialized in the design and implementation of advanced analytics and AI-powered data services, announced today that it has
achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Data Reply for enabling data scientists and ML practitioners with tools to take their data, train predictive models and make predictions on new data.
Lavazza chose Amazon Web Services as its cloud platform and Reply, AWS Premier Consulting Partner, to support them in the adoption of machine learning models on AWS. Lavazza worked with Reply to design a product which could fit their needs to predict the results of the tests performed on the production line to guide their operator’s activities.
Data Reply enabled Data Analysis and Machine Learning on AWS Cloud for Nexi, the largest Italian PayTech Company, bringing quantity and quality of data and leveraging Artificial intelligence-based technologies, resulting in major impacts in customer’s capabilities in areas like Fraud, Risk Management, Marketing and Operations, in a safe and compliant way.
Data Reply built a cloud datalake on AWS for a large German automotive company, replacing an on-premises solution and leveraging serverless technologies wherever possible. The datalake provides reliable, flexible and cost-efficient analysis capabilities and collects data from all over the organization.
Join the AWS Summit 2020 the new fully Online Edition. Hear about the latest trends in cloud during the Opening Keynote of Werner Vogels, CTO by Amazon.com, and dive deep in 55 breakout sessions across 11 track. Meet REPLY at the Virtual Booth and discover the latest expertise on AWS Technology about:
Machine Learning & Artificial Intelligence, Big Data, IoT and Industrial Software.
In this webinar
Data Reply illustrated which are the challenges of taking a machine learning model in production and how
MLOps principles can be applied to solve them in a real business case scenario.
Data Reply helped a sports company to advance the Data Analytics journey with the custom
AWS Cloud-native Big Data Platform. The project increased flexibility and efficiency across all analytics workloads, including Data Science use cases as well as Data Engineering needs.
The service designed to boost your brand’s impact. Now more than ever, we are committed to help essential workers who are making a difference giving them a fast and reliable access to daily benefits.
With the launch of the new AWS Region, placed within the Italian national territory, a set of major benefits may be leveraged by companies and institutions. First of all, a series of regulation and organizational constraints regarding the cloud adoption, are accomplished with costs comparable to those of other European regions.
During this Webinar
Data Reply used
Amazon Web Services to build a
chatbot experimenting and connecting with different technologies to demonstrate the potential a chatbot could bring to your business.
To make it possible for all departments of a large telecommunications provider to efficiently use the multitude of data that reaches, travels through or leaves the organisation every day, the company has been using the data streaming approach for some time now.
Data Reply is the Reply group company offering a broad range of advanced analytics and AI-powered data services. We operate across different industries and business functions, working directly with executive level professionals and Chief Officers enabling them to achieve meaningful outcomes through effective use of data.
We have a consolidated experience in designing and building cloud solutions: we support companies with either lift-and-shift solutions and with cloud native architectures. We help our customers in developing and adopting holistic Big Data architectures and implementing ML and AI models in a manner that is repeatable, efficient, scalable, simple and yet secure.
We supports companies in combinatorial optimization processes with Quantum and Accelerated Computing techniques that enable an engine with high computational performances.