DATA SCIENCE SALON ELEVATE IS A UNIQUE FEMALE FOCUSED VIRTUAL CONFERENCE WHICH BRINGS TOGETHER SPECIALISTS TO EDUCATE EACH OTHER, ILLUMINATE BEST PRACTICES AND INNOVATE NEW SOLUTIONS. LEARN AS OTHER FEMALE THOUGHT LEADERS SHARE THEIR WISDOM AND EXPERIENCE IN THEIR CHOSEN FIELD.
Amy Gershkoff Bolles
Chief Data Officer at BitlyIQ
Dir. AI, Personalization, Computer Vision & MLaaS at Target
Head of Data Science at True Fit
Head of Data Science & Data Engineering at Wellio
Data Engineer - Active Learning at Wellio
CTO at One Concern, Inc
sample of topics covered:
Machine learning best practices
Data strategy and governance
Data ethics and bias
Designing ML pipelines efficiently
Hiring and Recruitment
Seeking mentorship with purpose
The importance of female-first spaces
Navigating male-dominated teams
Overcoming imposter syndrome
Data science teams: managing, building, collaboration
Integrating open source tools into your workflows
Data and AI for emerging platforms
(All times are US Eastern Time)
1:00pm - 1:15pm
1:15pm - 1:45pm
Leaps and bounds with data products
Sivan Aldor-Noiman – Head of Data Science and Data Engineering at Wellio
Nandika Donthi – Data Engineer – Active Learning at Wellio
Machine learning based data product life cycles do not necessarily follow the same development paths as most conventional products. These data products bear inherent risks and rewards that are sometimes hard to quantify and even recognize in advance. These considerations present unique challenges in product management and development practices when it comes to deployment.
1:50pm - 2:20pm
Hiring and getting hired in the age of COVID
Amy Gershkoff Bolles – Chief Data Officer at BitlyIQ
In this talk we will walk through one of our machine learning data product development cycles. We will share our learnings on developing, deploying and monitoring data products in the wild, including when it’s worth taking the leap and facing the bounds that come with it.
2:35pm - 3:05pm
Advancing Career as women in Technology
Anupama Joshi – Director, AI – Pesonalization, Computer Vision and MLaaS at Target
We are almost past Two decades into 21st century but technology is still a male dominated field. Progressing in tech career as women is still not easy. There are some issues about the culture in tech industry and there is something we as women can do, individually and collectively. In this talk I will talk about my experiences and what I learnt from experiences of my collogues, friends and other women leaders, which helped me to make progress in my career. Hope this will help you too.
3:10pm - 3:40pm
Augmenting Existing Physical Models with AI to Create Impactful Disaster Resilience Solutions
Nicole Hu – CTO at One Concern, Inc
The best products are designed around improving real-world outcomes. In a discussion about using AI to create impactful solutions, Nicole Hu details the importance of approaching problems with an open mind – using the technology, or combination of technologies, that is most effective for solving a particular problem. In an era filled with countless AI and machine learning solutions, she argues that AI is not always the answer.
3:45pm - 4:05pm
Making Fashion Recommendations That Fit
Rhonda Textor – Head of Data Science at True Fit
4:15pm - 4:30pm
Coffee chat @ 12:15pm ET the next day
Join us for a cup of coffee or tea and a chat the morning after the DSS Elevate Virtual Conference.
DSS Elevate is a non-profit event. Your ticket covers our production fees so we can continue to elevate women and other underrepresented groups.