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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.
Data Reply has developed a framework based on Deep Learning techniques, Data Mining and Natural Language Processing capable of classifying input data, such as the photos taken by appraisers and the repair data recorded by car repair shops.
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.
China Beats is your business intelligence solution for China. It uses AI-supported social listening with connection to the Chinese data ecosystem to answer the most pressing business questions about the Chinese market and its players.
Glue Reply, a Reply Group company that specialises in outcome focused strategy and enterprise architecture for both public and private sector organisations, received a Commended Award at the Team Defence Information, Excellence Awards 2019.
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.
As the twists and turns of Brexit continue, businesses are once again left wondering what sort of changes they should be preparing for, and how they will react to those changes when they come into effect.
Wind turbines pose great challenges for the maintenance and repair services: Service calls, planned or ad-hoc, are extremely cost and time consuming. Using on-demand Spark Clusters, Data Reply has developed an intelligent monitoring system for a large energy supplier for site operators.
To make it possible for all departments of a large telecommunications provider to efficiently use the multitude of data that reaches, travels through or leaves the organisation every day, the company has been using the data streaming approach for some time now.
Data Reply is co-exhibiting at TDWI 2019 at the Abinitio booth (booth no. 52). Under the motto "Beyond Big Data", Data Reply presents itself on topics such as Modern Business Intelligence, Self-Service BI and Data Driven Solutions.
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 takes part in Strata Data Conference where big data's most influential business decision makers, strategists, architects, developers, and analysts gather to shape the future of their businesses and technologies. Data Reply will be deep-diving into emerging big data techniques and technologies.
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.
Top decision-makers in retail companies with a digital commerce strategy often lack the appropriate control mechanisms to actively guide their company through the digital transformation. Analytics assistants offer support, which should offer the business world the same comfort as we already enjoy as consumers in the digital shopping world.
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.
Solidsoft Reply has been engineering creative solutions since 1993 to help over 500 enterprise clients succeed through delivering the following services: • Business process and application integration solutions with Microsoft BizTalk Server • Extending your business applications to the cloud with Microsoft Azure • Business critical application support for Microsoft platforms • Microsoft Team Foundation Server
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.
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.
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.
Data Reply takes part in the
Strata Data Conference in London, with a speech presenting a case study from the automotive industry.
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.
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.
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.