WiMLDS NYC: October 2022 Newsletter
Special Announcements
📣 The AI Summit New York is taking place at the Javits Center on December 7th and 8th!
The action-packed agenda includes the Women in AI #WAI Flagship Summit on December 8th which will feature “a line-up of women leaders and passionate allies” and end with an award ceremony.
The conference will also host the AIconics Awards for “AI Innovator of the Year”. Fourteen nominees, including a WiMLDS NYC Chapter Co-organizer, have been shortlisted between the categories of “Solution Providers” and “Solution Implementors”. As the winners will be selected by popular vote, the polls are open between October 24th and December 6th through this page. 🎉
📣 Data Science Salon New York is hosting a conference on December 7th “focused on AI and machine learning applications in finance and technology” at the Theater Center.
“DSS NYC will gather the data science community in an intimate setting and feature the most cutting edge conversation about AI/ML in finance & technology. Featuring speakers from S&P, Capital One, Fitch Ratings, PayPal, Morgan Stanley, Freddie Mac and many more!”
Register for the Early Bird 🐦 discounts today! 🎁
Inspiration Corner
By Manya Wadhwa
Dr. Brandeis Marshall is the CEO of DataedX Group. Her work focuses on exposing and mitigating the harmful impact of data practices on technology and society. In September 2022, she released an eye-opening book entitled ‘Data Conscience: Algorithmic Siege on our Humanity’ that discusses technology and data with a focus on equity and oppression. The book explores how to address discrimination in the digital data space with several known algorithms.
Dr. Marshall is also the founder of Black Women in Data (BWD). The organization centers Black women’s point of views in all spaces where data lives, offers opportunities for Black women to expand their data skills, and communicates issues and recommendations critical to Black women’s advancement in the data workforce. BWD held its first summit on October 1–2, 2022 in Atlanta and online.
To be inclusive doesn’t mean that you are pushing away anybody. It means that you are seeking out those who have an open mind. It means to be someone willing to listen to others and not suppress marginalized groups. It’s about safety. Ask, “can I share with people, and can people share with me?” (source: Tech Culture Needs to Embrace EQUITY | Brandeis Marshall on The Artists of Data Science)
You may learn more about Dr. Marshall through https://www.brandeismarshall.com/ or contact her by email: brandeis@dataedx.com.
WiMLDS Event
Data Feminism: Discussion with the Author via Boston Women in Machine Learning & Data Science
Date and Time: Thursday, November 10, 2022 at 7:00 PM to 8:30 PM EDT
“A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. We are thrilled to have a discussion about data, inequality, gender, and race with the author of Data Feminism Dr. Catherine D’Ignazio. The evening will begin with a recorded presentation Dr. D’Ignazio and her co-author Dr. Lauren Klein made about their book on data science and data ethics through the prism of intersectional feminism. Dr. D’Ignazio will then join us live to answer questions and continue the discussion with us!
Come learn about the Dr. D’Ignazio’s work that has been lauded as required reading for data scientists looking to conduct their craft responsibly!”
“Catherine D’Ignazio is a scholar, and artist/designer, and hacker mama who focuses on feminist technology, data literacy and civic engagement. She has run women’s health hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. D’Ignazio is an assistant professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT where she is the Director of the Data + Feminism Lab”
External Events
“Create Multi-Stage, NLP Pipelines Quickly and Easily Using Azure Cognitive Services” via Open Data Science NY
Date and Time: Thursday, November 10, 2022 at 12:00 PM to 1:00 PM EDT
“Speaker #1: Brandon Cowen, Senior AI/ML Solution Architect at Microsoft
Bringing six 6 years’ experience with internal and externally facing deployment of NLP models, Brandon joined Microsoft in 2021
Speaker #2: James Hoff, Principal Cloud Solution Architect at Microsoft
With seven years’ experience delivering cognitive service deployments to customers, James joined Microsoft in 2021
Abstract:
Most document processing applications will use more than one stage or AI Model. The ‘proof of concept’ phase can be time consuming when trying to test various algorithms on your own data. This presentation aims to provide the guidance and resources to generate a multi-stage, cognitive pipeline in hours.”
[Free Webinar] Designing Custom ML Pipelines With AWS Sagemaker via Data Science Salon | NYC
Date and Time: Wednesday, November 23, 2022 at 2:00 PM to 3:00 PM EDT
“Using Amazon SageMaker to train, test and deploy models is an efficient way of handling the machine learning lifecycle. Being an iterative process, using SageMaker allows data scientists to manage the entire machine learning pipeline with autoscaling provisions, advanced data security, data monitoring, model monitoring, high performance and low cost ML development. Compared to local or on demand set up, using SageMaker can save up to 67% of total resource utilization.
However, deploying custom machine learning models in the cloud such as AWS can be daunting. First, there is not much documentation available for individual use cases and secondly, each model is different.
This tutorial will walk you through the framework for deployment of any custom model in SageMaker using Docker. It will cover how to deploy the model as a Rest API and how to test it through Postman to showcase the model to customers and stakeholders.
What you’ll learn in this webinar:
- How to create custom ML models in AWS SageMaker
- How to deploy the model as a REST API
- All you need to know about AWS services such as SageMaker, ECR (Elastic Container Registry), Lambda, API Gateway and non AWS Services- Docker
Presented by: Swagata Ashwani, Senior Data Scientist at Boomi”
Conferences
- NVIDIA Healthcare & Life Sciences Developer Summit — Virtual, November 10
- Machine Learning for Health (ML4H) — November 28 Note: This event is colocated with NeurIPS 2022.
- Data Science Salon New York: Applying AI & ML to Finance & Technology — New York, NY & Virtual, December 7
- The AI Summit New York — New York, NY, December 7–8
- Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) — Abu Dhabi, UAE & Virtual, December 7–11
