Newsroom
Latest news from the team at Raffle
AI for Businesses
AI is reshaping how companies do business by developing computer systems to be able to perform tasks that usually demand human intelligence.
AI will reshape how companies do business in nearly every aspect possible. Thanks to the ability to quickly process large amounts of data, extract patterns and learn from experience, this technology can perform cognitive tasks previously associated only with humans. Nonetheless, there are limits to what AI can do today. What is AI? AI is what machines do, not how they do it. It is the theory and development of computer systems…
Jul 26, 2022
English
Think outside the chat box: Show your customers, don't tell them
Chatbots are bad customer service as customers are forced to go through a decision tree-based conversation- discover how Raffle is better.
Photo by Diana Parkhouse on Unsplash. In our recent webinar, “ AI Talks: Deflection vs. self-service in customer service and how AI can help ,” we discussed many interesting things. We talked about our AI products and the analytics dashboard for them. My co-founder Ole Winther discussed the power of NLP to detect natural language and serve up accurate answers and the limitations of chatbots to answer complex questions. VIDEO…
Jul 26, 2022
English
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.
This is the first of a series of four posts about the technology behind our products and what the future has in store for AI and natural language processing. Learn more in parts two , three , and four . Raffle makes AI tools to realize our vision of giving employees or end-users seamless access to company information . We use natural language processing (NLP) machine learning so that the user can search with natural text in th…
Jul 26, 2022
English
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.
Having a remote customer service team offers many advantages to your organization, especially now. With the Covid-19 pandemic keeping many workers at home, the ability to successfully manage a remote customer service team has never been more crucial. And, as Deloitte’s 2019 Global Contact Center Survey revealed, more and more companies are choosing to utilize remote working. Over the next two years, the number of companies wit…
Jul 26, 2022
English
Disentangled Model for Recognition & Dynamics in Unsupervised
Dive into the conversation around unsupervised learning and its impact within Raffle to understand our unique structure.
Conference: Advances in Neural Information Processing Systems We introduce the Kalman variation of the auto-encoder, a framework for unsupervised learning of sequential data that disentangles two latent representations: an object's representation, coming from a recognition model, and a latent state describing its dynamics. As a result, the evolution of the world can be imagined and missing data imputed, both without the need t…
Jul 26, 2022
English
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.
This is the fourth and final post in our ‘science behind the Raffle-lution’ series. It’s recommended you first read part 1 , part 2 , and part 3 . Deep learning-based systems are replacing the traditional chatbot approach to conversational AI. With traditional chatbots, you have to engineer the whole conversation, a labor-intensive task that is vulnerable to changes in the challenge we want to solve. Deep learning, on the othe…
Jul 26, 2022
English
Deflection vs self-service explained
Why is it better to empower your customers with self-service rather than "deflect" them away from contacting you? Find out more here.
Watch our Webinar From our webinar: "AI Talks: Deflection v self-service in customer service and how AI can help" on October 30, 2020.
Jul 26, 2022
English
The vast potential of AI
Hear about the challenges of Raffle presented by its founders as they discover the vast potential of AI for employees and customers.
Fireside chat at Tech BBQ 2021 Get inspired by how Raffle has disrupted traditional search by using the vast potential of AI. Providing AI-powered Search, Raffle is helping employees and customers quickly find the right information across systems, apps, and knowledge bases in any language. Hear about the challenges and inspiration they met along the way in building Raffle. Presented by the founders of Raffle, Suzanne Lauritzen…
Jul 26, 2022
English
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.
Photo from Computerworld Denmark, the leading Danish media for digitalization since 1981, article, " Open source makes it easier to use deep learning for natural language technology ," by Ole Winther. Read a similar article in English here. Want to know more about Raffle? Let a product specialist demonstrate the unique benefits of our AI search engine for businesses: here .
Jul 26, 2022
English
Danish startup is building a search engine with BERT
Why BERT? See why Raffle adopted the language model BERT to create our advanced search.
Photo Summary in English: Danish startup is building a search engine with BERT Supervised learning does not scale well enough when a search engine has to review a large company's knowledge base. That is why Danish raffle.ai has adopted the language model BERT. While Google users can find relevant results, the development of enterprise search has been significantly slower. In companies, it can still be challenging to search thr…
Jul 26, 2022
Product
English
Our AIaaS solution for customer service agents just upgraded
Read about how Raffle employees have contributed to an AI-powered customer service tool that’s easy to use and looks nice too!
Earlier this month, we unveiled Raffle Workplace Search, an update to the product we’ve worked hard on for over six months. We’re extremely proud of the results. Our development, data science, customer support, and design teams have all contributed to an AI-powered customer service tool that’s easy to use and, as an added bonus, nice to look at! A simple plug-in for Google Chrome, it integrates neatly and easily with any custo…
Jul 26, 2022
Product
English
Autoencoding beyond pixels using a learned similarity metric
We present an autoencoder that leverages learned representations to better measure similarities in data space.
Explore our Research By combining a variational autoencoder with a generative adversarial network, we can use learned feature representations in the GAN discriminator as a basis for the VAE reconstruction objective. We replace element-wise errors with feature-wise errors to better capture the data distribution while offering invariance towards, e.g., translation. We apply our method to images of faces and show that it outperfo…
Jul 26, 2022
English
