Keyword

Artificial Intelligence & Machine Learning

CHATBOT

Best Practice

Communicating directly with your customers

A chatbot is not just technology: it’s a tool for communicating with the customer in an increasingly direct and innovative way.

Machine Learning Reply works alongside companies to offer customers a channel that best represents the voice of the brand in the relationship with the end consumer, through an ecosystem approach.

Communicating directly with your customers 0

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 second edition of the Master’s programme on Artificial Intelligence and Cloud is scheduled to start in January 2022 and a maximum of 40 students will be admitted.

Artificial Intelligence & Cloud - Master
Hands-on Innovation 0

Collision Detection

Case Study

REGENSBURG: COLLISION DETECTION IN A SMART CITY SYSTEM

Together with the City of Regenburg and the University of Regensburg, Autonomous Reply is designing a safe, smart city with autonomous vehicles. The aim is collision avoidance, by involving all road users in the interaction between autonomously driving things.

22.02.2021

News & Communication

“Everything-as-an-interface” is the new paradigm resulting from Reply’s “New Interfaces, Zero Interfaces” Research

The pandemic has accelerated the trend of adopting new interfaces in both consumer and professional fields, according to Reply’s new research “New Interfaces, Zero Interfaces”, based on Reply’s Trend SONAR proprietary data-driven platform.

REPLY MARKET RESEARCH HUB

Research

NEW INTERFACES, ZERO INTERFACES

Which new interface technologies can we expect to see coming to prominence in our ‘new normal’? We launched a research project based on analysis of the main studies, scientific articles and patents published in the last two years, integrated with the experiences of Reply companies in supporting’ their customers.

Discover emerging technology trends of interfaces

NEW INTERFACES, ZERO INTERFACES 0

Voice Interaction

Case Study

TIMMusic is available everywhere, at any time, on any device

Open Reply supported TIM to decline its music platform on multiple devices, created a skill for Amazon and Google voice assistants and enforced its presence into automotive platforms such as Android Auto and Apple CarPlay.

HoloLens

Case Study

Roche is using mixed reality for the presentation of oncological therapies

Healthcare company Roche presents oncological therapies through holograms. Infinity Reply and McCann Health realised a 3D system based on Microsoft HoloLens, dedicated to healthcare professionals, who were able to ‘touch’ the mechanism of action of immunotherapy drugs.

08.12.2020 / Business & Industry

Press Article

AI on the move. Mobile robots are powering the future

Agile and fully free Autonomous Mobile Robots (AMR) are revolutionising an industry that is set to see a compound annual growth rate of 25.38% between 2020 to 2025. In collaboration with Business & Industry, Reply delves deeper into the future of AI and robotics.

coding

Best Practice

How AI is disrupting software development

AI-powered development tools are revolutionizing every industry. Reply is actively analysing, monitoring and implementing the tools with most potential to verify their effectiveness in real projects.

How AI is disrupting software development  0

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.

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.

Artificial Intelligence & Machine Learning

Hot Spot

Intelligence

The convergence of Big Data with Artificial Intelligence has emerged as the single most important development that is shaping the future of how firms drive business value from their data and analytics capabilities.

But even as the technology advances, companies still struggle to take advantage of it, largely because they don’t understand how to strategically implement Machine Learning in service of business goals.

Intelligence 0

Data Robotics Accelerator

Customer Recovery

Customer Recovery is the solution that faces the challenge of behavioral approach on credit risk management. The solution is developed on Microsoft Azure Machine Learning, the service that allows building and testing powerful cloud-based predictive analytics.

Data Robotics Accelerator

Match-up

Match-up is an advanced tool for the analysis, reconciliation and matching of complex data (single and/or multiple). The use of this tool finds application in data-related processes.

Reply Framework

Hot Spot

Robotics for Customers is here!

Reply has built its own Robotics for Customers approach in the context of Data-Driven Customer Engagement. Robotics for Customers is a framework built on two foundational pillars: Recommendation Systems and Conversational Systems.

Robotics for Customers is here! 0

Artificial Intelligence

Best Practice

Towards Augmented Intelligence

Artificial Intelligence and Augmented Intelligence have entered the business realm, been the subject of academic and online discussions and captured the collective imagination with great enthusiasm. Target Reply explains how Artificial and Augmented Intelligence can bring increased value to customers in different areas of application, showing the techniques and technologies applied to real use cases.

The Banca Mediolanum case Data Analytics Laboratory and implementation of a Recommendation Engine  0

Financial Services

Case Study

The Banca Mediolanum case: Data Analytics Laboratory and implementation of a Recommendation Engine

With the aim of experimenting with an Advanced Analytics approach, the Data Analytics laboratory initiative launched by Banca Mediolanum involves a partnership between the Marketing Research team and Reply for the development of advanced data analysis mechanisms and the design of proactive services, tailored to the customer’s needs.

Using Deep Learning and Knowledge Graphs to anticipate customers’ needs 0

Recommendation Systems

Best Practice

Using Deep Learning and Knowledge Graphs to anticipate customers’ needs

There is no mystery behind traditional collaborative algorithms: they simply try to suggest similar content to what we have previously watched, or what other users with similar tastes to us have been watching. Yet we can go even further using Deep Learning and Knowledge Graph methods that leverage contextual and unstructured data.

Recommendation Systems

Best Practice

Reply's approach and methodology for bringing recommendations in production environments

Reply has developed the framework Robotics for Customers which allows customers to build a time-to-value Recommendation System that can be easily integrated into any existing platform.

Conversational Systems

Best Practice

Conversational Systems in the Automotive industry

One of the first cases where the Robotics for Customers approach has faced Chatbots has been in the automotive industry, where online assistants have been conceived for product presentation and catalogue configuration.

Big Data Analytics

Case Study

Big Data Analytics for Automotive

Data Reply is supporting CNH Industrial in a project aimed at collecting and analyzing telematics data coming from industrial vehicles, enabling the company to anticipate customers’ needs and offer customized after-sales services.

Big Data Analytics for Automotive  0

31.10.2017 - 01.11.2017 / London

Event

Microsoft Future Decoded 2017

Solidsoft Reply and WM Reply are Gold Sponsors at Microsoft Future Decoded, an event hosted by Microsoft offering an inspired vision of the digital business of tomorrow taking place in London.

13.09.2017 - 14.09.2017 / Cologne

Event

dmexco 2017

Reply is represented at dmexco in Cologne, on 13-14 September 2017, in the Expo Special WORLD OF EXPERIENCE. This innovation hub for marketing-communication and technology highlights connected products, new consumer experiences and innovative business strategies.

Operational Risk & Data Robotics

White Paper

Operational Risk & Data Robotics

Data Robotics Solutions are emerging as a highly effective, yet practical approach for banks to reduce operational risk, improve efficiency, reduce costs and derive additional value. From Robotic Process Automation to machine learning enabled Intelligent Process Automation, banks that have started implementing these solutions are reaping the rewards, both from a financial and compliance perspective.

Operational Risk & Data Robotics 0

Reply Voice Commerce

Best Practice

Conversational Commerce Extension for SAP Customer Experience

Customers are looking for new, interactive buying experiences and offers geared to their needs. At the same time they want to make the replenishment process as efficient as possible, especially when it comes to every day products. With Reply Voice Commerce, Syskoplan Reply has developed an extension for SAP Customer Experience that precisely addresses this need for simplification, and with which language can be used as a natural communication medium.

Conversational Commerce Extension for SAP Customer Experience  0

Data Robotics Accelerator

Know Your Orders

Know your Orders is the solution that makes it possible to create a simple interface which can be consulted by users using a natural language, thus facilitating access to information while ensuring consistency and accuracy.

Data Robotics Accelerator

Automated Invoice

Automated Invoice is the solution, also available as a service, which facilitates the automated management of the accounts payable process, from the posting phase to the reconciliation between invoices and purchase orders/delivery notes/receipts, highlighting the differences identified.

Data Robotics Accelerator

Brick Reply Platform

Brick Reply is the solution that makes it possible to simulate various configurations used in automated production lines, in order to recommend the optimal mix of devices required to achieve the overall performance requested by the end customer.

Data Robotics Accelerator

Employee Monthly Expenses

Employee Monthly Expenses is the solution that facilitates the automated creation of expense reports starting from the underlying cost items, quickly and without the need for manual intervention.

Data-driven Machine Learning Robots

Data Robotics

Data Robotics is defined as the set of technologies, techniques and applications required to design and implement a new automation process based on self-learning and artificial intelligence technologies, with the aim of increasing the productivity and efficiency of business processes.

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Data Robotics 0