NLP

What I Learned From Attending REWORK AI Applications Summit 2021

What I Learned From Attending REWORK AI Applications Summit 2021

Last month, I attended REWORK’s AI Applications Virtual Summit, which discovers machine learning tools and techniques to improve the financial, retail, and insurance experience. As a previous attendee of REWORK’s in-person summit, I have always enjoyed the unique mix of academia and industry, enabling attendees to meet with AI pioneers at the forefront of research and explore real-world case studies to discover the business value of AI.

In this long-form blog recap, I will dissect content from the talks that I found most useful from attending the summit. The post consists of 13 talks that are divided into 3 sections: (1) AI in Finance and RegTech, (2) AI in Retail and Marketing, and (3) AI in Insurance.

Datacast Episode 42: Privacy-Preserving NLP with Patricia Thaine

Datacast Episode 42: Privacy-Preserving NLP with Patricia Thaine

Patricia Thaine is a Computer Science Ph.D. Candidate at the University of Toronto and a Postgraduate Affiliate at the Vector Institute researching privacy-preserving natural language processing, with a focus on applied cryptography. Her research interests also include computational methods for lost language decipherment.

She is the Co-Founder and CEO of Private AI, a Toronto- and Berlin-based startup creating a suite of privacy tools that make it easy to comply with data protection regulations, mitigate cybersecurity threats, and maintain customer trust.

Datacast Episode 29: From Bioinformatics to Natural Language Processing with Leonard Apeltsin

Datacast Episode 29: From Bioinformatics to Natural Language Processing with Leonard Apeltsin

Dr. Leonard Apeltsin is a research fellow at the Berkeley Institute for Data Science. He holds a Ph.D. in Biomedical Informatics from UCSF and a BS in Biology and Computer Science from Carnegie Mellon University. Leonard was a Senior Data Scientist & Engineering Lead at Primer AI, a machine learning company that specializes in using advanced Natural Language Processing Techniques to analyze terabytes of unstructured text data. As a founding team-member, Leonard helped expand the Primer AI team from four employees to over 80 people. Outside of Data Science and ML, Leonard enjoys scuba diving, salsa dancing, and making short documentary films.

Datacast Episode 24: From Actuarial Science to Machine Learning with Mael Fabien

Datacast Episode 24: From Actuarial Science to Machine Learning with Mael Fabien

Maël is a Data Scientist at Anasen, a Y-Combinator Startup in Paris where he works on the automation of data exploration and feature extraction for textual data. He majored in Actuarial Science at the University of Lausanne and did a second Master in Data Science at Telecom ParisTech Engineering School. He is also a content writer for several blogs and a freelance Machine Learning instructor for 2 boot camps in Paris and Dakar. He is especially interested in applications of Machine Learning in the medical field.

Datacast Episode 18: NLP at Crisis Text Line with Ankit Gupta

Datacast Episode 18: NLP at Crisis Text Line with Ankit Gupta

Ankit Gupta is a data scientist at Crisis Text Line, a New York-based not-for-profit tech startup providing 24/7 free text-based crisis support to individuals. At Crisis Text Line, Ankit developed an AI-driven triage system that detects signals of suicidality within the first few messages sent by texters. Using the triage system, the counselors can serve 93% of at-risk texters in under five minutes.

Datacast Episode 11: Psychology and Neuroscience in Data Science with Francisco Carrera Arias

Datacast Episode 11: Psychology and Neuroscience in Data Science with Francisco Carrera Arias

Francisco Carrera Arias, B.S. is currently a data scientist/analyst for MotionPoint Corporation and a research assistant for the Clinical Systems Biology group at Nova Southeastern University. His current work entails performing a variety of data analyses to better inform business decisions as well as using discrete logic to analyze complex biological regulatory networks for the purposes of identifying and simulating treatment courses for chronic illnesses such as Gulf War Illness.

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part II)

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part II)

From machine translation that connects humans across cultures, to conversational chatbots that help with customer service; from sentiment analysis that deeply understands a human’s mood, to attention mechanisms that can mimic our visual attention, the field of NLP is too expansive to cover completely, so I’d encourage you to explore it further, whether through online courses, blog tutorials, or research papers.

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part I)

The 7 NLP Techniques That Will Change How You Communicate in The Future (Part I)

NLP is certainly one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Fully understanding and representing the meaning of language is an extremely difficult goal. Why? Because the human language is quite special.