Our mission is to provide actionable prescriptive insights as to the future tangible impact of artificial intelligence on business, markets, and society.
Joined January 2021
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Scatter Lab’s Unethical Chatbot: Luda Lee was a popular chatbot launched on Facebook in December 2020.
It was officially shut down in Jan 2021 after making offensive comments about user’s disabilities and sexual orientation.
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#artificialintelligence
This progress in the development of new theoretical underpinnings for #NLP tasks has resulted in a gold rush style momentum that feels like a whiplash-inducing burst of innovation.
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#ai
With these two juggernaut contributions in hand, the academic and commercial realms chewed on these inventions generating many related works, technologies, and innovations.
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#artificialintelligence
That work demonstrated a new way to ‘read’ through large amounts of human-written text while capturing global context and co-occurrences of words.
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#conversationalAI
Your sales team can follow up with a lead without even hitting a keystroke or placing a call.
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#artificialintelligence #sales
It all started in 2013 with the Word2Vec model presented in the academic paper “ Distributed Representations of Words and Phrases and their Compositionality.”
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#artificialintelligence
From a practical standpoint, this means practical applications and use-cases that have been pondered for a long time can finally be realized at a level reliable enough to be commercialized and deployed in production.
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#ai #conversationalAI
This innovation was quickly followed up by another heavyweight contribution in 2014 with the Glove model presented in “GloVe: Global Vectors for Word Representation."
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#ai
We believe that in order for brands to deliver truly personalized customer experiences, conversations need to flow freely within an organization — across channels and departments.
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#artificialintelligence
That’s why we made an open messaging platform and marketplace that allows companies to connect all their business systems to @Zendesk, including specialized chatbots for everything from sales to marketing to eCommerce.
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#ai
This paper was the first to demonstrate a neural network model trained to encode meaning in words by simply scanning through ‘reading’ millions of real-world sentences.
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#conversationalAI
Then in 2018, we observe another groundbreaking burst of innovations with the inventions of the GPT, Elmo, and Bert models.
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#conversationalAI #GPT #Elmo #bert
All three of these contributions presented the value of reading through data while acknowledging the order of words in their sequence while ‘reading.’
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#conversationalAI
The answer is simple: conversational AI-driven, zero-shot technology.
Zero-shot learning (ZSL) is the ability to solve a task without receiving prior training for that particular task.
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#conversationalAI
In this article, we’ll cover where multi-intent classification is falling short, why current chatbots are failing, and why zero-shot technology is the future.
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#AI #zeroshot #chatbots
Being able to deploy a chatbot without training is a powerful outcome for any business looking to optimize customer service, improve user satisfaction, and cut costs.
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#artificialintelligence
The result of chatbot failures is a poor communication experience and frustration for an end-user.
It was big news when Facebook revealed in 2017 that their chatbots had a 70% failure rate.
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#conversationalAI
Microsoft’s Pro-Genocide Bot: Tay was an early Twitter chatbot launched by Microsoft in 2016 that aimed to learn from other users' tweets.
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#artificialintelligence
Calling the current generation of chatbots a failure would be an understatement.
The technology empowering this innovation is a new language system known as Generative Pretrained Transformer 3 (GPT-3).
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#artificialintelligence #aichatbots
The new age of conversational AI aims to handle a wide variety of potential use cases and user prompts more effectively than traditional hardcoding can achieve.
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#conversationalAI