GetJenny Blog Posts

How a multinational insurance company automates over 60% of their customer service queries?

How a multinational insurance company automates over 60% of their customer service queries with the GetJenny chatbot: A case study.

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Communication in modern computing – Mario Alemi, Lead Scientist GetJenny

The keyword in “Artificial Neural Network” (ANN) is network. ANN were introduced in the 1940’s, with the idea that simple mathematical functions, called perceptors at the time, when interconnected could do what computers are now starting to do –generalize concepts.

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Chatbot for Slush: 68 percent automation on day one

GetJenny is setting up Slush’s official chatbot. The first day after going live was promising, as based on early data the chatbot was able to handle 68% of incoming messages on its own.

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5 tips for how to succeed in a chatbot project

The successful cooperation between Insurance Company IF and GetJenny started in the end of 2016 when IF was looking for an agile and ambitious partner for their chatbot project.

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Some things to consider before committing to an enterprise bot

Enterprise deployment becomes very expensive because of the nature of virtual agents: they have to learn from an existing corpus that’s relevant to their purpose and then handle information.

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Building a simple FAQ bot with Starchat

For small companies who are just dipping their toes into providing online support, you may have noticed that despite your best efforts at providing your customers with information, they come to your chat asking quite common questions

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The advantage of “Agent side bots”

There’s a less frequently talked about aspect of what advanced natural language processing technology allows us to do that will have a big impact on our daily lives. This is what we’re calling “Agent side bots”.

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Introducing starchat, an open source, scalable conversational engine for B2B applications

We’ve long been saying that the hype around chatbots might die down one day. People are discovering that not everything becomes instantly better if you wrap it under a conversational UI – some things are better handled with buttons.

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LivePerson partners with Jenny for the Live Engage Bot platform

We are proud to announce to be a part of the select few AI companies helping LivePerson, the leading provider of cloud mobile and online business messaging solutions to run the world’s first enterprise level bot management platform.

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On hype driven machine learning

Countless posts have been written lately on who and what you need to follow in order to navigate this landscape, and rightly so. It’s already enormous, and with any industry that’s just awakening, the boundaries are not yet clear and everything is really up in the air.

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This year in AI

2016 was the year that chatbots and AI got BIG. It was a busy year for all of us, with over 34,000 bots released for Facebook Messenger alone, and now we have a bit of clarity on whether it’s going to be a passing fad or the bots are here to stay.

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The costs of great chat support

Chat support has proven to be a more effective alternative than phone support. Both beat traditional, face to face support operations in effectiveness and costs, but chat can be integrated with your existing CRM systems, beating even phone support.

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Thank you Slush 2016!

As a Helsinki based company, there’s one event that’s arguably more important than Christmas every year – and that’s the Slush tech conference.

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Customer service through Messenger

Facebook’s ecosystem means the internet itself to a huge number of people. In short, to counter app bloat, they’re building systems to make sure that users can interact with web businesses through their platform.

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The future of customer service – AI aided responses

By now many businesses have embraced the power of online chat support. The generation that grew up with the internet prefers it to any other form of communication, it’s fast and efficient, and the service providers are getting better and better at it.

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More blog posts

FAQ_080817
Building a simple FAQ bot with Starchat

Updated 13 October 2020

This article is about StarChat, the...

Read more
Agent_side_bots_26717
The advantage of “Agent side bots”

There’s a less frequently talked about aspect of what advanced...

Read more
The-GUI-is-out-and-the-bots-are-in
Introducing starchat, an open source, scalable conversational engine for B2B applications

We’ve long been saying that the hype around chatbots might die down...

Read more
liveperson_3030517
LivePerson partners with Jenny for the Live Engage Bot platform

We are proud to announce to be a part of the select few AI companies...

Read more
MI_landscape_020317
On hype driven machine learning

This is the competitive landscape for machine learning

Countless...

Read more
This-year-in-AI
This year in AI

2016 was the year that chatbots and AI got BIG. It was a busy year...

Read more
cubefarm_131216
The costs of great chat support

A chatbot VS face-to-face VS phone support

Chat support has proven...

Read more
Slush-welcome_061216
Thank you Slush 2016!

As a Helsinki based company, there’s one event that’s arguably more...

Read more
facebook-messenger-business_281116
Customer service through Messenger

Facebook’s ecosystem means the internet itself to a huge number of...

Read more
FAQ_080817
The future of customer service – AI aided responses

By now many businesses have embraced the power of online chat...

Read more

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GetJenny develops JennyBot, a chatbot builder with a custom natural language processing engine (NLP). With JennyBot, you can easily build intelligent chatbots to improve customer experience, automating manual work in customer service, lead generation, HR and internal communications.

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