Schedule
Day 1 | Trends & Best Practices
Tuesday October 6
12:00 pm – 12:25 pm
Introduction
Ben Lorica – Chief Data Scientist at Databricks
12:25 pm – 12.45 pm
Industry Survey
Paco Nathan – Evil Mad Scientist & Founder at Derwin AI
12:45 pm – 1.05 pm
The 2020 Trends for Applied Natural Language Processing
David Talby – CTO at John Snow Labs
1:05 pm – 1:25 pm
Auto NLP: Pretrain, Tune & Deploy State-of-the-art Models Without Coding
Dia Trambitas – Computer Scientist at John Snow Labs
1:25 pm – 1:45 pm
20 minute break
1:45 pm – 2:15 pm
Distributed Natural Language Processing Apps for Financial Engineering
Moody Hadi – Group Manager, Financial Engineering at S&P Global Market Intelligence
YouTube Music
Joao Fiadeiro – Sr Strategy Analyst at YouTube Music
Panel: State of the Industry
2:20 pm – 2:50 pm
NLP for Recruitment Automation: Building a Chatbot from the Job Description
Keisuke Inoue – NLP Data Scientist at Wade and Wendy
Continuous pretraining and delivery of NLP models to optimize sales engagement
Yong Liu – Principal Data Scientist at Outreach.io
Beyond Acuracy
Sameer Singh – Assistant Professor at UC Irvine
2:55 pm – 3:25 pm
What makes a job post attractive?
Inna Wendell – Data Scientist at FabFitFun
A Unified CV, OCR & NLP Model Pipeline for Scalable Document Understanding
Patrick Beukem – Senior ML Engineer at DocuSign
EmotionLP: NLP for Subjectivity and Emotion
Seth Grimes – AI & NLP Consultant and CX Emotion Organizer
3:30 pm – 4:00 pm
Deep Learning and Legal NLP
Brian Ulicny – VP, Thomson Reuters Labs, Americas at Thomson Reuters
How Freshworks Freddy AI leverages NLP to deliver Ethics-First Customer Experiences at Scale
Peter Stadlinger – Director of Product for Einstein at Salesforce
Day 2 | Open-source libraries
Wednesday October 7
12:00 pm – 12:25 pm
State of the art natural language understanding in Python
Maziyar Panahi – Big Data Engineer at John Snow Labs
12:25 pm – 12.45 pm
20 minute talk
Justina Petraityte – Head of Developer Relations at Rasa Technologies Inc.
12:45 pm – 1:05 pm
NLP is going to be the most transformational tech of the decade!
Clément Delangue – CEO at HuggingFace
1:05 pm – 1:25 pm
Allen NLP
1:25 pm -1:45 pm
20 minute break
1:45 pm – 2:15 pm
NLP DL in Commercial Environments: Challenges and Solutions
Moshe Wasserblat – NLP & DL Research Manager at Intel
How to train state of the art NLP models without writing code using Ludwig
Piero Molino – ML/NLP Research Scientist at Stanford University
Panel Discussion
2:20 pm – 2:50 pm
Bringing Spark NLP to R
David Kincaid – Senior Data Scientist at IDEXX
Learning from the vector space: extracting knowledge from x2vec
Janna Lipenkova – Founder and CEO at Anacode
Propaganda Analysis with NLP: What Can We Possibly Learn from “Fake News?”
Weifeng Zhong – Senior Research Fellow, Mercatus at GMU
2:55 pm – 3:25 pm
30 min talk
Dean Wampler – Head of Developer Relations at Anyscale
NLP in the presidential election, what is possible?
Scott Murdoch – Director, Data Science at HealthJoy
3:30 pm – 4:00 pm
30 min talk
Kfir Bar – Chief Scientist at Basis Tech
Mitigating the Liabilities of Artificial Intelligence in NLP
Andrew Burt – Managing Partner at Bnh.ai
Patrick Hall – Principal Scientist at Bnh.ai
Day 3 | NLP in Healthcare
Thursday October 8
12:00 pm – 12:25 pm
Towards better-than-human clinical data abstraction in oncology
Veysel Kocaman – Senior Data Scientist and ML Engineer at John Snow Labs
12:25 pm – 12.45 pm
Talk by Roche
12:45 pm – 1:05 pm
Combining NLP & Social Determinants to Deliver a Personalized Patient Experience
Ganesh Thodikulam and Kira Radinsky – Executive Director, KP Data Platform & Engineering at Kaiser Permanente
1:05 pm – 1:25 pm
20 min talk
Amy Heineike – Chief Product Architect at Primer AI
1:25 pm – 1:45 pm
20 minute break
1:45 pm – 2:15 pm
Nvidia/ePlus
Advancing the Patient Experience with Human-Centered AI Design
Catherine Havasi – Founder and CEO at Luminoso Technologies
Panel: Healthcare AI challenge
2:20 pm – 2:50 pm
30 min talk
Marianne Hoogeveen – Director, Data Science at Cityblock Health
Automated de-identification of medical documents & images
Mykola Melnyk and Alina Petukhova – Senior Data Scientists at John Snow Labs
2:55 pm – 3:25 pm
Lesson Learned annotating training data for healthcare NLP projects
Recebba Leung and Marianne Mak – John Snow Labs
Talk by Wisecube
Vishnu Vettrivel – Founder & CEO at Wisecube
Alexander Thomas – Principal Data Scientist at Wisecube
3:30 pm – 4:00 pm
Talk by MetiStream
Sriram Parthasarathy – VP & Chief Product Officer at MetiStream
Day 4 | Conversations with machines
Friday October 9
12:00 pm – 12:25 pm
Answering natural language questions on medical records
Prabod Rathnayaka – John Snow Labs
12:25 pm – 12.45 pm
Talk by Roche
12:45 pm – 1:05 pm
Talk by McKesson
1:05 pm – 1:25 pm
Talk by John Snow Labs
1:25 pm – 1:45 pm
20 minute break
1:45 pm – 4:00 pm
Datathon showcase & winners
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