STORIES
OF DATA

FROM EXPERIENCE TO VALUE

DATA REPLY & AWS

Data Reply & AWS

machine learning

Case Study

Guarantee the quality of the grinding process

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.

Validation Framework

Best Practice

We heroes portal

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.

We heroes portal 0

The Data Incubator

APPLIED DATA SCIENCE TRAINING TO ACCELERATE A DATA-DRIVEN CULTURE INSIDE YOUR COMPANY

The Data Incubator™ 0

Human machine interfaces

Best Practice

Assessing car damage with the use of Image Recognition

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.

Assessing car damage with the use of Image Recognition 0

computer vision

Best Practice

Distance tracking against COVID-19

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.

EDUCATION @ DATA REPLY

EDUCATION @ DATA REPLY 0

17.06.2020 / Fully Digital

Event

Aws Summit Online 2020

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.

AWS Cloud

Case Study

Getting Cloud and ML into the DNA of Nexi

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.

Getting Cloud and ML into the DNA of Nexi 0

01.06.2020 / English Language

Webinar

How can NLP help business?

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.

05.05.2020 / English Language

Webinar

Let's Make a Chatbot

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.

28.04.2020 / English Language

Webinar

Graph Analytics and their applications

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.

Data science

Best Practice

Thousands of new products: when to order and how many?

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.

Thousands of new products when to order and how many? 0

Clustering

Blog

An Approach to Device Cross-Linking

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).

29.04.2019 - 02.05.2019 / London

Event

Strata Data Conference

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.

24.04.2020 / Automation

Article

Overcoming the challenges of intelligent automation with Data Reply

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.

Churn Framework

Best Practice

MAKE IT PERSONAL

Limit churn and enhance customers satisfaction through real-time personalization


Find out everything about Data Reply's churn framework!

MAKE IT PERSONAL 0

09.06.2019 - 11.06.2019 / London

Event

CogX 2019

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.

12.06.2019 - 13.06.2019 / London

Event

Reply at AI Summit 2019

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.

03.07.2019 / The Data Incubator

Blog

The Data Incubator Experience

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.

GDPR

Best Practice

GDPR compliance: new services of Data Management and Data Discovery

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.

25.03.2019 - 27.03.2019 / Milan

Event

D-Wave Europe “Qubits” Users Conference

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.

Big Data Analytics

Case Study

Big Data Analytics for Automotive

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.

Big Data Analytics for Automotive 0

University Events

Academy

Data Reply in Universities

Data Reply participated in Data Bites at City University of London and Data Science Challenge at Queen Mary University of London.

University event Nov 2019

Airflow

Blog

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.

RPA

Best Practice

4 Ways RPA Can Reduce The Impact Of Brexit Uncertainty

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.

13.11.2018 / London

Event

Python Streaming Pipelines with Beam on Flink

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.

25.04.2019 / London

Event

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.

03.04.2019 - 04.04.2019 / New York

Event

LTV Conference in NYC

Data Reply participates at the LTV conference in New York, a leading SaaS (Software as a Service) event in North America.

25.10.2018 / London

Event

Clickstream Processing at the Financial Times

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.

20.09.2018 / London

Event

The First Apache Airflow Meetup in London

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.

08.10.2018 / Award

News & Communication

Data Reply is Cloudera "EMEA Machine Learning Partner of the Year 2018"

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.

22.05.2018 - 24.05.2018 / London

Event

Strata Data Conference 2018

Data Reply takes part in the Strata Data Conference in London, with a speech presenting a case study from the automotive industry.

Big Data

Case Study

Geospatial Optimization & Benchmarking using Big Data

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.