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Services for fleet managers that
facilitate vehicle maintenance, repair and management – this is a key focus area for
MAN Truck & Bus. For flexible, cost-efficient analyses,
Data Reply migrated the B2B vehicle manufacturer's on-premises data lake to the AWS Cloud.
Forecasting Demand is a core process in retail and other consumer products businesses with a direct impact on Customer Experience and the business bottom line. Reply works with a number of global apparel brands, retailers and consumer goods companies on Demand and Sales forecasts at global, regional and local levels, including individual stores at granular SKU levels.
Fully managed, highly available, and secure Apache Kafka service.
In this webinar Data Reply, in collaboration with AWS, will explain how to migrate the existing Data Lake of a large German automotive company to AWS in a short amount of time and with little impact on users.
In a global enterprise like
BMW, translating text is an often necessary, but time consuming and tedious task. Cutting down translation times aids the business in working faster and more efficiently.
Reply achieved this for their client providing a low-cost shared service based on AWS for the entire enterprise using
BMW’s state-of-the-art neural machine translation models with specific adaption to the automotive domain.
Managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data.
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.
Media-on-Demand Businesses are competing in a field where seamless customer experiences are essential. For a client Data Reply designed and implemented an event-driven set of services providing real-time insights. This enabled a variety of valuable business and analytics use cases.
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.