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Here is the future of conversational AI

Unearth the future of conversational AI and how Raffle places itself in AI history.

Read " Spectacular innovations in language and artificial intelligence: Here is the future of conversational AI " by Ole Winther, in Computerworld. 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

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Raffles AI tools for customer support explained

How do we cover the whole customer cycle with our AI tools for customer support? It starts with a question and is explained in this video.

Don't let your service team end up overwhelmed, resulting in unsatisfied customers. That is just bad for business. ‍ Watch this simple video to find out:

Jul 26, 2022

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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.

It’s a profession that’s growing in popularity and necessity with recent technological advances and one that is often regarded as a future-proof job . According to Masters in Data Science : “ A data scientist's role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans.” A day in Data Science ‍ Mathias Baltzersen, who's been with the…

Jul 26, 2022

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14 Stats Proving Value of Self-Service 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.

We’ve all been there; a busy supermarket where all the staffed checkouts have long queues. Meanwhile, your fellow customers are moving through the self-service checkouts at a brisk pace. Of course, you choose to follow them and scan your shopping to get out of the store as fast as possible. Increasingly, this trend is being replicated online. That’s why we’ve compiled this list of statistics that underline the importance of a…

Jul 26, 2022

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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.

“$1.6 trillion is lost by companies in the United States due to customers switching as a result of poor customer service.” - Accenture We all know the value of good customer service. And, as the quote above displays, we also know the danger of giving a bad customer experience. As a customer service manager, it’s tempting, when you feel you don’t have the time or the resources to give the level of customer care you want to, to…

Jul 26, 2022

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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.

We’re all looking for ways we can help our employees improve their performance and reach their targets. It’s certainly no different within customer service. With high levels of staff turnover, the need to shift operations to remote working, and challenges with motivation and productivity, customer success departments certainly have areas where artificial intelligence can make a big impact. In this post, we’ll explain why it’s…

Jul 26, 2022

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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.

We’ve all seen the predictions before. 2020 was supposed to mark the death of the chatbot. In 2019, the chatbot was already seen as the hype of the past . Even back in 2018, there were already reservations about how much actual AI was involved in these decision tree-based applications. Numerous chatbot fails were shared around the internet by bemused and irritated customers. All around the world, customers are realizing that c…

Jul 26, 2022

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What is a real AI company?

These days AI is an over-hyped buzzword, and not many people really know what AI actually is.

AI has been around since the 50s, but it’s only recently that companies and investors alike are paying attention to it. Why is AI so hyped these days? And how can you see beyond the buzzwords? State of AI Today AI is an over-hyped buzzword, but it hasn’t always been like that. Only a few years ago, saying your company works with AI would not exactly excite. Deep Mind CEO Demis Hassabis said, “7 years ago when you would have sa…

Jul 26, 2022

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Deep learning for search

Listen to Ole talk about the latest methods and how Raffle uses these techniques to create its advanced search.

Deep dive into BERT Deep learning has revolutionized natural text modeling since Google Research in 2018 introduced BERT. By Ole Winther, CTO & Co-Founder at Raffle, Professor at DTU Compute & University of Copenhagen.

Jul 26, 2022

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Get your website ready for Black Friday

Watch how 49% of ViaBill's website visitors find their answers through Raffle Site Search.

Get Ready for Black Friday and Cyber Monday 49% of ViaBill's website visitors find their solutions through Raffle. On Black Friday and Cyber Monday, where the number of customer requests increases by an average of 65%, this makes a difference for customer satisfaction and the support team. Learn how leading payments company ViaBill prepares for an incredibly busy period for customer support on the Black Friday/Cyber Monday wee…

Jul 26, 2022

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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.

A few years ago, traditional chatbots were all the rage, and consequently, Google , Microsoft , and many others offered frameworks that can help you build chatbots. They are all built around setting up a decision tree to steer the conversation to an endpoint and some natural language processing (NLP) capabilities. The decision tree represents the logical flow of the interaction between the user and the bot. An order-taking cha…

Jul 26, 2022

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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

Document information extraction tasks performed by humans create data consisting of a PDF or document image input and extracted string outputs. This end-to-end data is naturally consumed and produced when performing the task because it is valuable in and of itself. It is naturally available at no additional cost. Unfortunately, state-of-the-art word classification methods for information extraction cannot use this data, instea…

Jul 26, 2022

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