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Big Data offers a new technology for gathering, managing and processing large quantities of data in different formats.
HANDLING UNSTRUCTURED DATA: Big Data does not require the in-depth data schema design needed for traditional databases: it uses NoSQL, a mechanism for working with structured and unstructured data together.
EFFICIENT DATA MANAGEMENT: Big-Data technology’s second feature is its ability to handle vast data volumes (in Petabytes), generally at a fraction of the TCO of traditional systems.INTEGRATED TEAM WITH SPECIFIC PROFESSIONAL EXPERTISE: Implementing a Big-Data model requires a team with new skills, including Data Scientists, data-analysis specialists with vertical competencies.NEW WAYS TO RUN PROJECTS: The initial stages of a project no longer involve selecting information sources to base the design on (as in the traditional data-handling approach) – Big Data turns this concept on its head by leveraging statistical techniques.
Data Reply supported Dstl, the Defence Science and Technology Laboratory, in evaluating options for processing large geospatial datasets and providing an evidence-based evaluation of six relevant Big Data technologies.
Target Reply, the Reply Group company that specialises in implementing solutions involving big data and advanced analytics, set up a big data analytics platform for Aeroporti di Roma that manages and integrates all the information to understand the behaviour and needs of the passenger.
Reply conducted a study that covers the feedback of experienced users of Robotic Process Automation (RPA) as well as RPA beginners. RPA is still in an early stage of the adaption and development process. But it is expected to be a door opener for several other digital game-changing technologies. Learn more about the insights we gained about RPA.
Stop wasting time fighting fires in your data processing pipelines.Data Reply can help you simplify using
Apache Airflow allowing you to get on with running your business.
Pulse is a data-driven insights platform able to support you by answering your main marketing questions. It helps you to drive your business forward and to gain business relevant insights based on digital data.
Cloudera has awarded Data Reply, specialist for Big Data Solutions & Advanced Analytics methods within the Reply Group, the "EMEA Machine Learning Partner of the Year 2018". The award recognizes partners who develop and implement outstanding solutions that help customers gain valuable insights into their business and derive actionable measures from data.
Reply and SDA Bocconi have founded The Data Robotics Lab, a joint initiative which has gathered and developed a significant amount of research evidence and carried out projects for companies on Data Robotics, on an international basis. Based on the research, this
executive program is developed to give to business leaders, innovators, and future thinkers with an interest in Data Robotics a fundamental understanding of the impact of the implementation of an
intelligent process automation solution on processes, business and efficiency thanks to a personalized roadmap.
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.
Data Reply takes part in the
Strata Data Conference in London, with a speech presenting a case study from the automotive industry.
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.
Data Reply supported the Defence Science and Technology Laboratory (Dstl) in evaluating options for processing large geospatial datasets and providing an evidence-based evaluation of six relevant Big Data technologies.
Ferrero, world leader in the confectionery industry, with the support of Syskoplan Reply, a Reply Group company specialising in consulting services and SAP technology implementation, won the SAP award for the successful implementation of its new Business Intelligence architecture, based on the SAP HANA in-memory technology.
Data Reply has worked with Vitol to design a global Data Acquisition and Provision Platform for pricing and fundamentals data that is fit for the demands of today and tomorrow.
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.
Blue Reply, the Reply Group company specialised in digital transformation through services, consulting and the implementation of solutions based on IBM technologies, brings Artificial Intelligence technologies to companies through the use of the IBM Watson suite.
Data Reply exhibits and participates with a speech at the
Cloudera Session in Munich, taking part at
12 October, from 8h to 18h in the Eisbach Studios/Munich. The Cloudera Session is an ideal platform for data professionals to exchange ideas about the latest use cases in Machine Learning and Artificial Intelligence (AI).
Insurers need to quickly understand their business and interpret data to foster innovation, reduce operational costs and provide a platform appropriate for accurate and fast assessment of risk / innovative pricing, for compliance and to leverage new sales channels.
Data Reply supports customers in the design and implementation of data platforms that aim to enhance and capitalise on corporate information assets. Data Reply introduces the theme of personal data protection within the scope of the General Data Protection Regulation (GDPR), which will come into force in May 2018.
Data Reply, the Reply Group company specialising in meaningful outcomes through data, takes part in Strata Data Conference taking place on 26-28 September 2017 in New York.
The nerve-wracking search for a parking space has come to an end thanks to Advanced Analytics and Data Science.
Comsysto Reply has developed a service for parking space detection with sensor data.
The solution implemented by Data Reply for RCS has made it possible to launch a new monetisation channel that exploits the intrinsic value of digital information, thanks to a customised platform designed to easily handle the complex multitude of data relating to users and content.
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.
GROHE and Storm Reply present their innovative new IoT platform solution at the AWS Summit Berlin 2017. Using AWS infrastructure and Reply as Consultancy and Implementation Partner, GROHE is able to launch a complete water security system for the residential segment to help minimizing the biggest problem in the house: water damage.
Reply is sponsor of the
Automotive Trend Forum in
10-11 May 2017 and will be represented there by
Data Reply and
Syskoplan Reply. About 400 international experts from academia and industry will visit this conference, which deals with current trends in automobile sales and marketing.
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.
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.
Reply takes part in the Digital Finance World Forum in Frankfurt on 1- 2 March 2017, a two days dedicated to the hottest information about Blockchain, bitcoins, Big Data and the Internet of Value.
Blue Reply is participating in this year’s BARC BI & Big Data Forum, which is part of CeBIT 2017 in Hanover, that takes place from 20-24 March 2017.
Riverland Reply is partner and exhibitor at this year's Oracle Data Warehouse / Business Analytics Conference. The event, which is being held together with the DOAG, will take place on March 14-15 , 2017 at the Swissôtel Neuss.
Data Reply takes part at the
5. Big Data Summit, taking place on
16 February 2017 in
Hanau. Possible chances and real business benefits of Big Data technologies - all around the motto
„Connecting the Dots - Data, Algorithms, Technology, Mindset“ - will be examined under the aspects of management, as well as best practices will be presented.
Click Reply and Microsoft invite you to an exclusive workshop entitled
Ground-breaking technologies for your data strategy, which will be held on
16 January 2017 in Cologne and on
19 January 2017 in Munich.
Data Reply takes part in
Cloudera Sessions – Milan, the Italian event focused on Big Data both from a technological and business point of view.
Data Reply, the Reply Group Company specialising in applying Advanced Analytics tools and techniques, takes part in Open Data Science Conference on 8-9 October at Hotel Novotel London West.
Target Reply, the Reply Group company specialising in the creation of
Data Warehousing, Big Data Analytics and Business Intelligence solutions, takes part in
Informatica World Tour Italy 2016. The event is focused on Big Data Management, Cloud Data Management, Data Security and Total Customer Relationship innovations.
Real-time data refers to data that is presented as it is acquired. The technical challenge is to detect and interpret complex signals from inside and outside the business, and to respond in an appropriate timescale. The Reply approach to data and intelligence is based on the concept of TotalData™, which exploits the reach, richness, quality assurance and agility of all aspects of data.
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.
Data – the lifeblood of the digital business – allows you to understand what is going on, both inside and outside the enterprise. At Reply, we don’t just talk about Big Data, we talk about TotalData™.