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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.
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
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.
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.
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.
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.
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.
A chatbot is not just about technology. A chatbot is a new, customer-oriented communication channel that uses machine learning tools to connect the company with its stakeholders.
Machine Learning Reply offers an approach that starts with the analysis of the application itself, to better understand purpose for which the chatbot is being developed.
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.