@discourseai

Unlocking the value of conversation data

 Boston, San Francisco, Dallas
discourse.ai
Joined March 2017
  • Tweets136
  • Following163
  • Followers149
39Media
Using NVIDIA V100 GPUs has allowed Discourse.ai to reduce machine learning training times from days to minutes; we unlock the value of conversation data to glean business insights, discover intents and train bots faster. linkedin.com/posts/nvidia-ai…
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Discourse.ai retweeted
Andrew Ng
@AndrewYNg23 Jun 2020
The suspension of the H1B visa program is bad for the US, bad for innovation, and will shatter dreams and disrupt lives. As a former H1B visa holder, my heart goes out to all the families affected.
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NVIDIA AI
@NVIDIAAI30 Apr 2020
Discourse #AI is helping large #finance companies structure and visualize customer conversation data and reduce the time and cost to develop new chatbots to market. Learn more:

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Using NVIDIA V100 GPUs has allowed Discourse.ai to reduce machine learning training times from days to minutes; we unlock the value of conversation data to glean business insights, discover intents and train bots faster. linkedin.com/posts/nvidia-ai…
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Discourse.ai retweeted
SpeechTEK@SpeechTEK18 Feb 2020
Learn to train better bots faster with @eisenzopf during his session at #SpeechTEK 2020. He's got 20 years and a wealth of experience to share. Find out more and register to be there! #bots @discourseai ow.ly/D0ZW30qhJX0
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Why is conversation analysis important for businesses? Conversation is the mechanism that activates the action potential of humankind. Understanding how conversation works maximizes the chances interlocutors will achieve outcomes that meet their goals.…lnkd.in/eXbGkZQ

#ai #deeplearning #machinelearning #intentdiscovery #customerinsight | Jonathan Eisenzopf

Why is conversation analysis important for businesses? Conversation is the mechanism that activates the action potential of humankind. Understanding how conversation works maximizes the chances...

linkedin.com
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Discourse.ai Demo for IBM Watson Assistant youtu.be/Zj5PBhSieu4 via @YouTube
bit.ly/FNaiinnovationb Join us tomorrow morning 10am PT on this FutureProofing : Now webinar to learn more about "AI and the New Dimensions of Innovation." Our founder and CTO, @eisenzopf will be participating in the demo / panel session along with other AI experts.
Want to build better bots faster? Check out our demo youtu.be/aDk5GETI4tM to see how we use your existing (and ongoing) customer conversations to speed the development and training of Amazon Lex bots!

Discourse.ai Demo for Amazon Lex

This video shows how easy it is to identify customer intents from y...

youtube.com
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Discourse.ai retweeted
Dan Miller@dnm5424 Dec 2019
BBS services were the first example of computer based #conversational services. iGreat account of the beginnings by @CadeMetz HT @mikecane who compiled the first computer phone book.
Mike Cane@mikecane24 Dec 2019
I doubt anyone on Twitter understands the impact this guy had on the world. I do. Rest in peace. Randy Suess, Computer Bulletin Board Inventor, Dies at 74 nyti.ms/2sL71No cc @dnm54
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Very exciting to be on the main stage at AWS #reInvent2019 (Where's Waldo, er, Discourse.ai?)
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What a great time to be an Amazon APN partner focused on #AmazonConnect and #Lex integrations!
Great time at AWS re:Invent today - especially, connecting at re:Connect with our contact center tribe!
Looking forward to seeing some familiar faces at AWS #reInvent this week - and to showing you how to unlock the value of customer conversations to build better Lex bots faster!
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Transformers v2.2 is out, with *4* new models and seq2seq capabilities! ALBERT is released alongside CamemBERT, implemented by the authors, DistilRoBERTa (twice as fast as RoBERTa-base!) and GPT-2 XL! Encoder-decoder with ⭐Model2Model⭐ Available on github.com/huggingface/trans…
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Bernhard Scholkopf (@bschoelkopf) just published a single author paper titled "Causality for Machine Learning" (arxiv.org/abs/1911.10500); this should probably at the top of the reading list for many people interested in machine learning / AI; @yudapearl @eliasbareinboim

Causality for Machine Learning

Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning. This...

arxiv.org
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Discourse.ai retweeted
Shijie Wu@EzraWu6 Nov 2019
Excited to share my summer intern project @facebookai “Emerging Cross-lingual Structure in Pretrained Language Models” arxiv.org/abs/1911.01464 We dissect mBERT & XLM and show monolingual BERTs are similar Joint work with @alex_conneau @AimeeLiS @LukeZettlemoyer @vesko_st
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How can computers answer questions with multi-step information needs? How can it be done efficiently and interpretably? @qi2peng2 and colleagues explain at #emnlp2019. Paper: arxiv.org/abs/1910.07000 Blog post: ai.stanford.edu/blog/answeri… #NLProc
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Discourse.ai retweeted
KC Kern@kckern27 Sep 2019
Replying to @Grady_Booch
@Grady_Booch
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Gartner sites Discourse.ai as a provider that helps companies solve the intent-modeling problem that is bogging down the execution of their #conversational platform strategy. See our recent benchmarks here! discourse.ai/download-use-ca… #chatbots #VirtualAssistant #AI #ML
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And check out the Gartner report: "Evolving IVRs to Conversational Platforms - Intent Modeling Issues" gartner.com/en/documents/395…

Gartner | Delivering Actionable, Objective Insight to Executives and Their Teams

Gartner provides actionable insights, guidance, and tools that enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities.

gartner.com
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