AWS SUMMIT BRUSSELS

March 31, 2022

Contact us

Before filling out the registration form, please read the Privacy notice pursuant to Article 13 of EU Regulation 2016/679

Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input

Privacy


I declare that I have read and fully understood the Privacy Notice and I hereby express my consent to the processing of my personal data by Reply SpA for marketing purposes, in particular to receive promotional and commercial communications or information regarding company events or webinars, using automated contact means (e.g. SMS, MMS, fax, email and web applications) or traditional methods (e.g. phone calls and paper mail).

SPRINT REPLY AT THE AWS SUMMIT BRUSSELS

Join us on the 2022 edition of the AWS Summit Brussel, a free, physical event that will deepen your cloud knowledge and gain new skills to design and deploy solutions in the cloud to accelerate your mission. Take part in the event to discover new trends and meet the Cloud Computing community by following breakout sessions, Chalk talk and AWS DeepRacer Workshops. Every participant will be inspired by session going from introductory level till expert.

Reply is an AWS premier consulting partner and provides solutions on AWS that range from digital transformation consultancy to managed services. Sprint Reply Belgium will be attending the event as sponsor with a booth and presenting inspirational use cases. Sign up for the event and meet us to discover how we can help you to transform and connect your business in the cloud.

Failed deliveries predictive tool

A Machine Learning model implemented on Amazon SageMaker

The demo goes through the process of deploying a tool that predicts if a home delivery will fail or not based on a set of key features like time of delivery, geo-location of customer or value of item. This could help retailers and logistics companies to reduce the economic and environmental impact of the missed delivery problem. This proof-of-concept covers multiple steps, including storage of data on S3, feature engineering & training of the model with SageMaker, results visualisation/dashboarding with Athena/Quicksight and finally the deployment on a AWS endpoint.

Intelligent Document Processing

Transform data into content

Intelligent document processing is an umbrella term related to automated extraction, interpretation, classification and handling of digitized documents. ​ ​+/- 80% of data is unstructured, and documents are often a bottleneck to automate processes. ​ AWS supports in different ways to enhance Intelligent Data Capture and document processing so data can be extracted and by labeling it, the data becomes content that can be handle further in the process.

CCASE

Contact Centre Analytics Service Experience

CCASE is a ‘plug and play’ analytics solution that aims to improve contact centre productivity, call quality management, and enhance the service experience for customers and agents. This ‘accelerator’ tool has a customized AI-enabled foundation built by using different AWS components and can run on-premise or in the cloud.

Find out all about CCASE here

The EGG Brussels

AWS Summit Brussels – Free physical event on 31 March 2022.

Do you have any questions about the event ?

Contact us via the form or send an email to sprint.be@reply.com.
  • strip-0

    We are Sprint Reply Belgium, part of the Reply Network. Our mission is to transform the work environment by optimizing business processes with an automation mindset and an employee-driven approach. This contributes to our vision to empower employees to focus on the essence of work.

    Our customers can count on us to define an automation strategy and implement end-to-end (intelligent) automation solutions. Our human-driven approach is combined with knowledge and experience in technologies like Robotic Process Automation (RPA), Intelligent Data Capture (IDC) & Optical Character Recognition, Natural Language Processing (NLP), Machine Learning (ML) and other low code platforms. Our approach is defined by the balance between people, technology and governance.

    We continually invest in our knowledge regarding low-code platforms and Artificial Intelligence topics to give our customers the solution that best fits their needs.