Keyword

Artificial Intelligence & Machine Learning

22.10.2020

News & Communication

Data Reply Achieves AWS Machine Learning Competency Status

Data Reply, 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.

Machine Learning

Case Study

Machine Learning for long term benefits

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.

Machine Learning for long term benefits 0

Mobile Robotics

Case Study

Robotics in Real Estate Operations

Reply, among the first Boston Dynamics Integration Partners worldwide, is testing the "SPOT" robot with ECE to support businesses in benefitting from advanced mobile robotics. As part of the so-called "Early Adopter Program" Reply and ECE have identified multiple possible use cases.

Robotics in Real Estate Operations 0

Artificial Intelligence

Research

Reply ranks three times as "Best in Class" provider in AI-Related Services

The teknowlogy PAC INNOVATION RADAR for AI-related Services in Germany 2020 is a tool for evaluation and visual positioning of AI-service providers in Germany. Companies are ranked according to performance in seven different segments focusing on specific industry requirements. The evaluation is based on the score achieved in the two main criteria, competence and market strength.

Reply ranks three times as

Artificial Intelligence & Cloud

Master

Artificial Intelligence & Cloud - Master Hands-on Innovation

It is a unique programme, recognized by MIUR (Ministry of Education, University and Research) and developed in collaboration with Politecnico di Torino, to offer a professional specialization in the most innovative fields of the IT sector. The first edition of the Master’s programme on Artificial Intelligence and Cloud is scheduled to start in January 2021 and a maximum of 40 students will be admitted.

Artificial Intelligence & Cloud - Master
Hands-on Innovation 0

Best Practice

Automated help Desk

Cluster Reply Automation Intelligence practice has skill, training and experience with Hyper-automation technologies, including conversational interfaces, cognitive services and Robotic Process Automation. Cluster Reply can tailor the conversational interface solution to fulfill different customer needs, assisting during the entire solution lifecycle, from planning to design, implementation and support and making sure they choose the correct approach to enable success.

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.

Voice Interaction

Brochure

Voice Interaction Gets Contextual

Voice experiences are radically changing the way we interact with technology. Connect Reply joins the physical and digital world, crafting amazing IoT technology. Connect Reply is experiencing the true beginning of the Internet of Things era, in which the physical and digital world talk to each other and empower people and businesses.

Voice Interaction Gets Contextual 0

31.10.2019 / Milan

Fundamentals of Deep Learning for Computer Vision

Machine Learning Reply is the Reply Group’s specialist in the development of artificial intelligence solutions. On 31st of October, as a Preferred Partner of Nvidia, a training session will be held which will be aimed at deepening the Deep Learning techniques for Computer Vision.

Fundamentals of Deep Learning for Computer Vision 0

AI for Retail

Best Practice

AI Store Check: Shelf Survey at POS with just one click

"AI Store check" is an application which allows sales representatives to automatically perform shelf surveys – all they need to do is create photos of the shelves with the app and upload them to the cloud. An AI is then used to perform an analysis.

Quantum Computing

Best Practice

Quantum & Accelerated Computing

Reply is exploring the potential for quantum computers and quantum algorithms to identify solutions to previously insoluble problems.

As it researches and explores quantum computing, Reply is developing solutions to use cases of interest to its customers.

DISCOVER MORE!

Quantum & Accelerated Computing  0

AUTOMATION

Best Practice

CHALLENGES FACED IN THE INDUSTRY OF MASS PROCESS AUTOMATION

The challenge has been and remains the skill of determining what to automate, how to automate it and most importantly when to give up, to produce a pipeline of automation. Find out about the challenges of process automation.

19.10.2018 / Portfolio / CageEye

Press Article

Aqua-Spark makes first investment in cage farm feed optimization

Aqua-Spark, the investment fund focused exclusively on sustainable aquaculture, has announced its investment in the Norwegian technology company CageEye.

06.07.2018 / Internet of Things

Blog

Why are AI and IoT perfect partners for growth?

IoT that is augmented and enhanced by machine learning is effectively multiplying the impact and benefit to those businesses who are adopting these complimentary technologies.

04.07.2018 / Internet of Things

Blog

Smart Partners: AI and IoT

Emanuele Angelidis presents insights on how converging technologies create value for progressive businesses.

Automotive

Product

The Sitecore Experience platform for the automotive sector

Cluster Reply has exploited the innovative characteristics of connected devices to create a solution for enhancing customer experience in the automotive sector. The solution is based on the integration of the Sitecore Experience platform with Microsoft Azure Cloud services.

22.05.2018 / Milan

Event

ExplAIn your tomorrow today

Technology Reply, in collaboration with Oracle and other partners, participates in the Explain Your Tomorrow Today, an event dedicated to the innovative technologies of AI, Machine Learning and Analytics.

Artificial Intelligence & Machine Learning

Best Practice

AI & ML: How to use them

Intelligence and Machine Learning are strategically important for driving enterprise strategies.

With Reply you can discover how Artificial Intelligence can support some important business needs and how strategically implement Machine Learning in service of business goals.

AI & ML How to use them 0

Recognition

Case Study

NATURAL LANGUAGE PROCESSING ACROSS THE AUTOMOTIVE VALUE CHAIN

Reply supported a big German automaker with millions of enquiries about their products.

Data Reply developed a multi-threaded text analytics service that takes the stream of text documents, applies NLP methods to retrieve significant entities and keywords, clusters the documents hierarchically and generates intuitive labels.

Prediction & Prescription

Case Study

INSURANCE FRAUD DETECTION

Reply supported a large insurance company to identify potential fraudulent users.

Data Reply developed an unsupervised anomaly detection engine to separate fraudulent users from honest ones, so that no righteous person would be suspected to be guilty of an offence.

Prediction & Prescription

Case Study

MACHINE LEARNING FOR FRAUD FIGHTING

Reply supported one of the first Consumer Credit Company in Italy with millions of loans every year.

Target Reply‘s solution anticipates and automates fraud detection. It identifies serial fraudsters that change their habits to evade controls and creates more advanced and predictive models that fit in new and unknown contexts.