Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Make a submission
Accepting submissions till 01 Nov 2019, 04:20 PM
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
##About the 2019 edition:
The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule
The conference has three tracks:
#Who should attend Anthill Inside:
Anthill Inside is a platform for:
For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com
#Sponsors:
Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.
#Bronze Sponsor
#Community Sponsor
Hosted by
Hrishi Ganu
@blah
Submitted Mar 26, 2019
We will describe a human-in-the loop system, AgentBuddy that is helping Intuit improve the quality of search it offers to internal Customer Care Agents (CCAs). AgentBuddy aims to reduce the cognitive effort on part of the CCAs while at the same time boosting the quality of our legacy federated search system. It addresses two key pain points 1)Given several candidate query answering mechanisms, how to select the right mechanism given a question and 2)Having retrieved a set of lengthy documents how to help the agent zoom in on the content most important for the question at hand. We address #1 using an elegant approach for principled exploration based on bandit algorithms and for #2 we have several models based on supervised and unsupervised learning. Since this is a real world system deployed on AWS we will also discuss practical challenges in scaling and how we overcame them.
Hrishi has been a regular speaker at Anthill and delivered a full-length session on “Building and driving adoption for a robust semantic search system” https://www.youtube.com/watch?v=niKXwqcTpao&t=650s&list=PL279M8GbNset5FCdcLd_ovckHE14PkIhM&index=3
Hrishi did his Master’s from Indian Institute of Science (IISc), Bangalore in 2005 where he worked on Computer Vision for studying atomization in Cryogenic Rocket Engines. Post that he did a full-time PGDM from IIM-Kozhikode. He has been working in the ML/Analytics space for over 11 years and has had long stints at Amazon Core ML and at Mu Sigma before joining Intuit’s IAT team. At Intuit, he’s working on NLP with a focus on creating algorithms that are robust to noise in user input.
Aside of work he spends time playing with his 4-year-old daughter and in solving puzzles.
Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
Accepting submissions till 01 Nov 2019, 04:20 PM
Hosted by
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}