“We built a context layer… called TOME… it captures everything… we prioritize freshness score… authority score… to avoid hallucination.”
♫
Said on DataFramed
“…I take all of our call transcripts from the last 120 days… run it through a cloud model… surfaces the top 15 feature requests with number of customers… without me having to correlate that data on my own”
Steven Walchek · Using AI at Work: AI in the Workplace & Generative AI for Business Leaders · How AI Security Helps Companies Adopt Generative AI Safely with Steven Walchek
Play from 42:07
42:07
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What was described
Built a feature-request prioritization tool that ingests 120 days of call transcripts from Gong, runs a cloud model every two weeks, and outputs the top 15 requested features with urgency scores
120 days of transcripts, run every two weeks
Said nearby on the same subject
“We built our own dialer and AI tool where every call is transcribed… AI scoring, grading, timestamps, flags high-risk accounts”
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Said on Profiles in Risk
“I built an agent that ingests and transforms transcripts that we get from users and customers so that we can turn it into product recommendations”
MR
Melissa Ramey
The AI in Business Podcast ·
“‘…model every 100 days now to a model every 10 days… it was 10 weeks to 10 days actually.’”
AC
Alan Chan
"The Cognitive Revolution" ·
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