Computer vision continues to be one of the hottest topics in the tech industry. With image/video recognition being considered the core of it, it’s been able to transform businesses using innovative techniques.
In the framework of ALOHA H2020 project, Concept Reply realized an embedded keyword spotting system based on deep learningtechniques to control collaborative robots and machinery in an industrial environment.
The voice control runs at the edge rather than in the cloud, so there are no concerns about response latency, data security, access control, user privacy and legal risk.
Laife Reply will give a speech entitled “X-RAIS: The Third Eye” to illustrate X-RAIS, an Artificial Intelligence tool. The Company extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
Target Reply Rome, in collaboration with Knime, is organizing the digital event: Virtual Data Science Learnathon: From Raw Data to Deployment. This edition, fully accessible online, takes place with the participation of the Machine Learning/Data Science Meetup Rome.
Envision Reply develops ad hoc solutions for the whole customer lifecycle and it phases, which can be mapped inside the ACR (Attract - Convert - Retain) funnel. Our customers succeed in achieving their business goals thanks to our industry know-how, our ability to understand business logics and our professionals' skills in both the statistic-mathematics and computer science fields.
Vincent Ohana, Partner at
Concept Reply delves into how modern technological concepts like the Digital Twin are driving digital transformation in the manufacturing sector. Find out about the untold opportunities available to those who can harness this exciting new technology.
Our data scientist/machine learning expert will specialize on banking and insurance processes.
Defining the optimum quantity of the product to be ordered becomes a more complex issue whenever we are faced with a situation involving a lack of information, as is the case with a first order. It may be effective here to have a tool that can recommend the proper “sell-out” quantity, configured before the product is launched on the market.
It is possible to create a chatbot that really works for your business? Our collaboration with a leading telecom provider shows that this is not only possible, but that the results might exceed even your most optimistic expectations. Let's analyse this success story together...
Data Reply has developed an innovative model, based on deep learning algorithms, which can learn to automatically recognise and classify defects even when these have not been used in training the model.
Data Reply attended the festival of AI and emerging technology at CogX London 2019 where over 500 industry, government and academic experts cover AI's most important topic areas.
Aktive Reply and OpenText are organizing an event focused on
Artificial Intelligence, and its use in the Document Management environment. During the event we’ll see which role AI,
Machine Learning and
Natural Language Processing can play in the near future of development in enterprise companies.
Machine Learning Prague 2019, the Czech capital is the venue for one of the most important practical conferences about ML, AI and Deep Learning applications from 22 to 24 February 2019. Among the speakers: Dr. Alexander Loosley from
Technology Reply, the Reply group company specializing in consulting, designing and implementing solutions based on Oracle technology, takes part in the Oracle Openworld Europe 2019 event, scheduled for 16-17 January in London.
A new year offers a good time to ponder on future trends over the next 12 months. One trend many IT experts agree on for 2019 is greater use of artificial intelligence (AI) in content management.
An Interview with Yasir Khokhar, CEO and co-founder of Connecterra
Technology Reply, a Reply company in consulting, design and implementation services, participates as main sponsor at the Data Viz Day event, scheduled for November 8 in Milan.
Technology Reply, a Reply company in consulting, design and implementation services, participates as main sponsor at the
Oracle Cloud Day event, scheduled for November 8 in Milan.
On Tuesday 4th December 2018, Avantage Reply and DataRobot will host an event on Machine Learning Models in Financial Services. The event will provide an opportunity to learn more about the evolving space of machine learning models, from industry practitioners and regulators.
Investment in IT infrastructure is at an all-time high with organisations driving to achieve faster delivery, improved quality and lower cost. With unprecedented access to information / data, our automation applications exploit the
benefits of AI and machine learning to improve
X-RAIS is an AI tool for the analysis of medical images based on neural networks, developed by Laife Reply. X-RAIS supports doctors in the medical record compilation phase, automatically calling attention to suspicious areas and the related classification, with the aim of reducing the number of incorrect diagnoses and improving the efficiency of the end-to-end diagnostic process.
In Technology Reply we believe that focusing on the use of Big Data is a priority not only for IT, but also for the Business and that every initiative in this area should be guided by an “business...
Technology Reply offers the most innovative solutions for managing and understanding the “Business Transformation” created by Big Data.
Technology Reply Financial Services offers a complete package of services that facilitate the application and architectural-level management of Internet and...
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.
In its latest funding round, French energy efficiency software developer Metron has won funding from UK-headquartered Breed Reply, an investor in early-stage IoT businesses.
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.
As the perfect Customer and Brand experience is sought, and customer journeys are buffed and shined, businesses and agencies alike are increasingly turning towards data for the answers - like the Evil Queen looking into the magic mirror - Magic mirror in my hand, who has the slickest Customer Experience in the land?
Can machine learning and predicitve analytics provide the answers businesses are looking for?
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.
Whilst AI struggles to define itself in words and pictures, nothing is denting the market’s enthusiasm for an approach to problem solving and better business decision making, that has seen AI reach ‘peak’ inflation of expectations. However sensible advice from Data Scientists rung out loud and clear at London’s AI Congress this week, providing reassurance that this business tool is here to stay.BY DOMINIC STINTON
Companies, nonprofits, researchers and developers have used TensorFlow in some pretty cool ways. Today we hear from Yasir Khokhar and Saad Ansari, founders of
Connecterra, who are applying machine learning to an unexpected field: dairy farming.
Yasir Khokhar, Connecterra CEO, Talking Business with Aaron Heslehurst on BBC World News.
Originally made for and used in the consumer world, chat and instant messengers have now become a natural evolution of collaborative dynamics within companies, and are mainly used by HR.
The concept of the “smart cow” might sound like an oxymoron, but the rapid development of internet of things (IoT) technology has ushered in an era when even the world’s largest companies are talking about the “connected cow” with a straight face.
Creating outstanding Customer Experiences requires an integrated approach to delivering Brand, Marketing, Product and the purchasing Interface.
It also requires deeper, more coherent insights to truly understand the cause and effect of change across these areas. Put simply, we speak the language of all four, have the ability to analyse big data quickly, and possess industry "know how" that helps us to define growth strategies that deliver both great Customer Experiences and the promised ROI for our Clients.
Syskoplan Reply has developed a new customer care service using the Chatbot technologies for a leading multi-utility company. The chatbot represents a new communication channel, addressing users’ need for reliable and immediate answers made available thanks to the use of Artificial Intelligence.
Machine Learning Reply and
Protocube Reply, take part in the Technology Hub event in Milan from 20th to 22nd April. The event is focus on innovative technologies and allows meetings between experts and companies with suppliers of innovative and technological products.
Target Reply and
Santer Reply take part in the
SAS Forum Milan 2017, organised by SAS. The Forum shows how the power of Analytics' can be applied across many areas: from Customer Intelligence to Risk Management, from Fraud Management to Business Transformation.
To take advantage of the opportunity offered by the
Reply hosts two events, on 5th April in Turin and 6th April in Milan. Both the events are focused on
Industry 4.0vand the opportunities offered by the
Machine Learning is quickly becoming a reliable and scalable set of technologies that can be applied to many business sectors, providing the ability to automate processes and to make applications more intelligent. Reply supports companies to leverage the potential of Machine Learning and Artificial intelligence to deploy industry and business specific solutions such as: Data Robotics, chatbots or predictive engines.
Syskoplan Reply, the Reply Group company specialising in consultancy services and implementation based on SAP technologies, takes part in the Marathon Village, the Expo of the Rome Marathon, from 30th March to 2nd April, day on which the Rome Marathon 2017 will take place.
Lancia Ypsilon has always been right by women's side. So, to celebrate this special affinity, has decided to present on the 8th of March the first car configurator that understands women and talks like them.
Reply will participate in the
17th International CAR Symposium on
1 February 2017. The 1,200 top managers and decision-makers attending the symposium have made it a top-tier meeting place in the automotive industry.
Machine Learning is fast becoming a reliable and scalable set of technologies that can be applied to many business sectors, providing the ability to automate processes and to make applications more intelligent. Among the various technologies that are part of the Machine Learning world, Deep Learning is gaining popularity, extending its scope of application to artificial intelligence. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions. Machine Learning techniques apply when knowledge is not enough to code, there is the need to scale for the huge amount of data, program has to adapt its behavior or solution changes in time.
Target Reply and
Santer Reply take part in the
SAS Forum Milan 2016, the forum organised by SAS in order to present the Analytics' power in many areas of application: from Customer Intelligence to Risk Management, from Fraud Management to Business Transformation.
How do you find the best talents with Machine Learning? The search for suitable employees is an ongoing challenge for HR departments. In the webinar series on
15 and 22 September 2020, Blue Reply and
Alteryx jointly present an overview of code-free Machine Learning that helps recruiters to predict talent success from application documents.