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Latest Post
CX stats for 2023
What are the most important CX statistics in 2023?
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Articles
Article
September 15, 2023
CX stats for 2023
What are the most important CX statistics in 2023?
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Article
September 4, 2023
11 Ways Generative AI Can Expedite the Onboarding Process in Customer Service
Transform your workers into lean, mean customer-centric machines through… AI-powered employee onboarding?
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Article
August 24, 2023
What is Site Search and Why You Need It on Your Website
When considering user expectations and search technology, the standards for performance and speed have largely been established by industry
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Article
July 11, 2023
5 Signs Your Website Search Is Decreasing Customer Satisfaction
Discover how improving your website's search function can make a significant impact.
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Article
June 22, 2023
Customer Service Trends in 2023: Enhancing Experiences and Building Brands
In 2023, several key trends are shaping the customer service landscape, presenting both challenges and opportunities.
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Article
November 8, 2022
Do Customers Care about Self-Service Really?
Customers want self-service options that are smarter, faster, and more convenient, but often businesses are not meeting these demands.
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Article
November 4, 2022
Unlock the Productivity of Your Employees: Get back to real work
Raffle provides a turnkey solution for unlocking employee productivity by giving employees greater access to information.
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Article
October 21, 2022
Why the Onboarding Process is Broken
Raffle Workplace Search offers a seamless search experience of the company's knowledge database, key for a good onboarding experience.
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Article
January 8, 2022
How to manage a remote customer service team
Here are some tips and tricks on how to improve the remote work experience and deliver excellent customer service.
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Article
September 19, 2021
Here is the future of conversational AI
Unearth the future of conversational AI and how Raffle places itself in AI history.
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Article
September 2, 2021
Open source makes it easier to use deep learning
Read more on how open source increases the ease of using deep learning and how Raffle has built on this technology.
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Article
March 8, 2021
The future of conversational AI
Find out what the future of conversational AI has to offer and how Raffle plans to be a part of technological innovation.
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Article
March 4, 2021
7 reasons why you should offer 24/7 customer service
Here’s why the salaryman work ethic is important for 24/7 customer support, how AI can help, and what next steps you can take.
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Article
March 4, 2021
5 ways to help your agents with Artificial Intelligence (AI)
Uncover the benefits AI technology can have for employee productivity and customer service in this post.
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Article
March 4, 2021
Understanding: The key to Danish life... and business
Denmark is known as progressive, leading the way in green innovations, quality of life, and opportunities! See how Raffle seizes it all.
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Article
January 20, 2021
A day in the life of a Data Scientist
Come spend day with a Raffle Data Scientist to understand the job description and Raffle operations.
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Article
January 8, 2021
What AI can and can’t (yet) do for businesses
AI is reshaping how companies do business by developing computer systems to be able to perform tasks that usually demand human intelligence.
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Article
January 8, 2021
How language modelling has changed NLP
This is the first of a series of four posts about the technology behind Raffle products, the future of AI, and NLP.
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Article
January 8, 2021
14 stats that prove the importance of self-service technology in customer service
These statistics stress the importance of self-service in the digital customer experience, Raffle Site Search uses AI to make this possible.
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Article
January 8, 2021
Why 2021 was the year chatbots technology changed forever
Why do chatbots not work? They are fake conversations with no real solutions, while Raffle delivers quick and accurate solutions.
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Article
January 8, 2021
The complete artificial intelligence in customer service glossary
Learn the evolution of AI from a symbolic algorithm to a machine that can mimic human intelligence.
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Article
January 8, 2021
How we use open source deep learning models
Discover Raffle's deep learning framework and models to create our unique AI algorithms that are the core of our products.
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Article
January 8, 2021
6 things to do before you hire more customer support staff
Raffle presents 6 solutions that are efficient and cost-effective ways to solve many of your customer service challenges.
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Article
January 8, 2021
What will become of traditional chatbots?
Traditional chatbots were all the rage a few years ago, yet they have major limitations. Let's examine the reasons why.
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Article
April 16, 2020
What is a real AI company?
These days AI is an over-hyped buzzword, and not many people really know what AI actually is.
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Article
December 18, 2018
End-to-end information extraction from documents
The Attend, Copy, Parse architecture is a deep neural network model trained on end-to-end data, that bypasses the need for word-level labels
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Article
November 21, 2017
Recurrent Relational Networks for Complex Relational Reasoning
Learn more about recurrent relational networks to train AI to mimic human behaviors.
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Article
April 3, 2017
Semi-supervised generation with cluster-aware generative models
Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning.
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Article
January 1, 2017
Hash embeddings for efficient word representations
Learn more about hash embeddings, an efficient method for representing words in a continuous vector form.
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Article
January 1, 2017
A disentangled recognition and nonlinear dynamics model for Unsupervised Learning
Dive into the conversation around unsupervised learning and its impact within Raffle to understand our unique structure.
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Article
October 20, 2016
Neural machine translation with characters and hierarchical encoding
We propose a Neural Machine Translation model with a hierarchical char2word encoder that takes individual characters as input and output.
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Article
February 17, 2016
Auxiliary deep generative models
Deep generative models have recently achieved state-of-the-art performance in unsupervised and semi-supervised learning.
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Article
December 31, 2015
Autoencoding beyond pixels using a learned similarity metric
We present an autoencoder that leverages learned representations to better measure similarities in data space.
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