The AI application to the Software Development Life Cycle (SDLC) is evolving rapidly, leading to the deployment of new tools and a progressive evolution: from human operators to AI-powered tools. Reply is ready to support its customers with the adoption of the most innovative AI-Powered Software Development tools that are revolutionising the software industry.
According to regulatory knowledge, business expertise and technical skills, Reply has designed and developed a “Smart Data Room” solution, designed to be deployed to support the onboarding process for NPL management. The solution transforms manual process by automating the activities performed by NPL Loan Managers, leveraging ML and AI technologies, and transforming the NLP onboarding phase.
Executing ArtificiaI Intelligence and Machine Learning directly on Edge devices paves the way for a new era of Intelligent and Autonomous things. Reply has gained considerable experience and technical expertise in the Edge AI landscape through numerous projects, using Autonomous Mobile Robots and drones in various scenarios.
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.
This article presents several advancements made in the field of AI, with examples such as Tesla's autonomous driving system or Deep Mind's Alpha Fold. Several breakthroughs in AI problems showcase the potential of modern AI systems, although some limitations remain present.
The telecommunication industry has seen so many advancements in the recent years. As the 5G evolution brings in new use cases, Artificial Intelligence is key to accelerate the time to market for the 5G offerings. But how is AI and ML incorporated in the telco world?
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.
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.
The rising use of AI is clear in every industry. In this article the use of AI in drones will be discussed — why we want and need it to operate on a drone, what issues do we face when trying to deploy AI on a drone and finally how can we address those identified issues, to allow reliable AI operation.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
"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.
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.
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.
An Interview with Yasir Khokhar, CEO and co-founder of Connecterra
Aqua-Spark, the investment fund focused exclusively on sustainable aquaculture, has announced its investment in the Norwegian technology company CageEye.
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.
Emanuele Angelidis presents insights on how
converging technologies create value for progressive businesses.
Why does a dairy farmer need AI?
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.
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.
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.
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.
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.
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.
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.
Following a series of announcements on Microsoft’s AI-based inventions, another preview of an AI-powered health chatbot has been released by the technology giant. The healthcare platform is currently under a private preview to Microsoft partners, and provides a sneak peek into the future of healthcare where people are increasingly empowered by improved access to medical information on their smartphones.
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.
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 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.
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.
With the aim of experimenting with an Advanced Analytics approach,
Data Analytics laboratory initiative launched by Banca
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.
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.