Keyword

Big Data

12.10.2021 / Milano

Event

It’s all CIO & technology 2021

Data Reply participates in “It’s all CIO & Technology”, an event dedicated to technological innovation and which represents an opportunity for discussion and networking for professionals engaged in updating business systems and processes.

12.04.2021 - 14.04.2021 / Live Event

Event

Quantum Tech 2021

Data Reply will be participating in Quantum Tech, to illustrate the near-term and long-term Business applications of Quantum Computing.

23.03.2021 - 25.03.2021 / Live Event

Event

Finovate Europe 2021

Data Reply participates in “Finovate Europe 2021”, a digital event dedicated to the Financial Services Industry. Register for the event now and meet our experts to discover the latest Fintech solutions!

30.11.2020 - 18.12.2020 / Live Event

Event

AWS Re:Invent

Reply will be attending the event "AWS RE:Invent", as a sponsor, with a virtual booth within the Partner Pavilion. Sign up for the event and come and meet Reply to discover the potential of the Cloud!

17.06.2020 / Fully Digital

Event

Aws Summit Online 2020

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.

Churn Framework

Best Practice

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Limit churn and enhance customers satisfaction through real-time personalization


Find out everything about Data Reply's churn framework!

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22.05.2018 - 24.05.2018 / London

Event

Strata Data Conference 2018

Data Reply takes part in the Strata Data Conference in London, with a speech presenting a case study from the automotive industry.

Big Data

Case Study

Geospatial Optimization & Benchmarking using Big Data

Data Reply supported Dstl, the Defence Science and Technology Laboratory, in evaluating options for processing large geospatial datasets and providing an evidence-based evaluation of six relevant Big Data technologies.