Reply, specialized on new communications channels and digital media, announces today it has signed a Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to develop industry solutions for Financial Services, Manufacturing, Automotive, Retail, Energy, and Telco customers.
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.
Join Data Reply's webinar and find out more on Big Data and Machine Learning models to be applied to cyber/physical security.
What is the state of Intelligent Process Automation within the European market?
Media-on-Demand Businesses are competing in a field where seamless customer experiences are essential. For a client Data Reply designed and implemented an event-driven set of services providing real-time insights. This enabled a variety of valuable business and analytics use cases.
In this webinar
Data Reply first gave the fundamentals of Intelligent Process Automation (IPA) and its application to increase the efficiency, productivity and compliance of business processes.
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.
Storm Reply and Data Reply supported Monte Titoli to define and develop the adoption strategy of Cloud architectures, governance of resources and Machine Learning models.
Data Reply has developed a quantum algorithm that allows you to quickly plan the maintenance work performed by units operating throughout Italy. The solution also makes the use of resources more efficient, thus reducing costs. This algorithm brings added value to Enel's business by supporting the multinational in its decision-making process, with a high impact on planned daily activities
Lavazza chose Amazon Web Services as its cloud platform and Reply, AWS Premier Consulting Partner, to support them in the adoption of machine learning models on AWS. Lavazza worked with Reply to design a product which could fit their needs to predict the results of the tests performed on the production line to guide their operator’s activities.
With the launch of the new AWS Region, placed within the Italian national territory, a set of major benefits may be leveraged by companies and institutions. First of all, a series of regulation and organizational constraints regarding the cloud adoption, are accomplished with costs comparable to those of other European regions.
Data Reply provides solution on AWS Data & Analytics stack and ML stack. We build valuable data products starting from raw data sources and we provide a strong expertise in building machine learning and AI models on the AWS platform. Thanks to the multiple projects up and running in the AWS cloud environment and to a team with 50+ AWS certifications, we have built a deep experience in designing, implementing, and managing Data and ML applications on the AWS platform.
The service designed to boost your brand’s impact. Now more than ever, we are committed to help essential workers who are making a difference giving them a fast and reliable access to daily benefits.
Considering all the recent advancements in computer vision in terms of processing algorithms and AI models, we consider them directly applicable for coronavirus monitoring: AI can help to process images coming from digital cameras, identifying peoples’ profiles and behavior, ensuring the respect of social distancing and personal protection equipment usage.
The applications of
Natural Language Processing range from
optimal search solutions and product recommendations to
personalized chat bots and feedback analysis. During this webinar you learned how this technology can
help your business.
Data Reply enabled Data Analysis and Machine Learning on AWS Cloud for Nexi, the largest Italian PayTech Company, bringing quantity and quality of data and leveraging Artificial intelligence-based technologies, resulting in major impacts in customer’s capabilities in areas like Fraud, Risk Management, Marketing and Operations, in a safe and compliant way.
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.
During this Webinar
Data Reply used
Amazon Web Services to build a
chatbot experimenting and connecting with different technologies to demonstrate the potential a chatbot could bring to your business.
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.
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.
In this blog post, our senior data engineer, Dr Christos Hadjinikolis, will walk through a brief tutorial on record linkage : the task of finding records in a data set that refer to the same user across different data sources (e.g., data files, books, websites, databases).
Graphs are powerful data-structures that represent tangible relationships between entities in a variety of domains. Their intuitive nature allows for the manifestation of insightful visuals, which often aids the extraction of insights that would otherwise be very difficult to isolate. Data Reply explores the area of Graph Analytics, discussing theoretical aspects, practices (ways of working with graphs) and practical applications.
Robotic Process Automation (RPA) software is the fastest-growing segment of the global enterprise software market. It’s easy to see why. Intelligent Automation (IA) and RPA tools
automate repetitive and mundane tasks, freeing up employees to do more high value work.
Our Data Scientist, Ashley Mason, shares his experience at the The Data Incubator (TDI), an intensive 8 week data science bootcamp held in the US, aimed at PhD and MSc STEM graduates looking to develop expertise in data science.
Reply takes part in the AI Summit 2019 event on 12-13 June 2019 in London. See practical ways of how businesses can take advantage of AI.
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.
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.
The event is organised by D-Wave. Reply will co-host the event.
Data Reply, specialising in Big Data, Machine Learning and AI, will be at the
D-Wave Europe “Qubits” User Conference, from 25 to 27 March 2019. The aim of the conference is to share knowledge regarding the applications developed and used by D-Wave users in Europe.
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 participated in Data Bites at City University of London and Data Science Challenge at Queen Mary University of London.
Integrating Slack Alerts in Airflow
In this blog post, our senior data engineer, Kaxil Naik, will walk through a brief tutorial on how to integrate Slack with Apache Airflow. This allow sending alerts to Slack on task failures.
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.
Data Reply hosted another meetup for Apache Flink's community, this time focusing on the Apache Beam project. The 40 participants had the opportunity to take a look at Python Streaming on the Apache Flink runner and further applications.
Managing Flink on Kubernetes & How to contribute to Apache Flink
In this Meet-up session, we had a joint talk on how to contribute to the Flink open project and managing Flink using Kubernetes.
Data Reply participates at the LTV conference in New York, a leading SaaS (Software as a Service) event in North America.
Data Reply hosted a meetup at the Financial times with a total of 85 participants learning about Clickstream Processing using Apache Flink and other frameworks.
Data Reply creates a Meetup group for anyone who wants to learn about or share what they know about Apache Airflow. Attended by 50 eager participants, this first meetup opened the door to a robust and collaborative Apache Airflow community.
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 Reply takes part in the
Strata Data Conference in London, with a speech presenting a case study from the automotive industry.
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.