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.
Director, Data Science at Salesforce
Data Scientist at Great Place to Work US
Senior Inventive Scientist at AT&T Labs
Co-founder and CEO at Verta.AI
Data Science Manager at S&P Global
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)
12:30pm - 12:40pm
12:40pm - 1:10pm
The three R’s of Data Science and why they are critical for business
Anjali Samani – Director, Data Science at Salesforce
Reproducibility, replicability and repeatability – the 3 R’s – impact almost all areas of science, and now by extension, data science. AI and data science influence every aspect of our daily lives and drive business decisions worth billions of dollars. Data scientists developing the models and analyses behind these decisions are often evaluated on their ability to deliver value quickly and continually, which leaves little time for ensuring analyses and experiments can be reliably repeated and modelling outcomes reproduced and replicated.
In this talk I will discuss why it makes sense for business leaders, product managers AND data scientists to pay attention to the 3 R’s. Additionally, I will share some guiding principles that can inform decisions about when and how much to invest in making analyses and models reproducible, replicable and repeatable.
1:15pm - 1:45pm
Addressing the Equity Gap in Diversity and Inclusion Efforts
Nancy Ceseña – Data Scientist at Great Place to Work US
Over the last decade, D&I has become one of the hottest trends in the workplace. Many organizations have taken to hiring Chief Diversity Officers, holding annual unconscious bias trainings, and even putting out public statements to address the systemic inequities historically marginalized groups experience every day. But do these actions make a difference? According to our data, these actions do not guarantee a workplace is diverse, inclusive, nor do they create an environment where all employees can bring their full selves to work every day. When leaders create an environment of inclusivity, fairness and integrity FOR ALL, employees experience a higher overall trust in leadership and a stronger sense of belonging, which in turn reflects exceptional business performance.
In this talk, attendees will:
• Gain insights drawn from nearly 5 million employees about their workplace experience
• Learn why and how your experience in the workplace is critical for your organization’s success
• Walk away with action steps to increase the equity of Diversity and Inclusion efforts in your workplace
1:50pm - 2:20pm
A Journey in Data Science: Lessons Learned
Noemi Derzsy – Senior Inventive Scientist at AT&T Labs
Looking back at our career trajectories, we all wish we had known certain information earlier, or had someone to give us valuable advice and guidance. This talk will comprise a combination of such technical and non-technical lessons, learned throughout my journey of becoming a data scientist. These tips will serve useful in navigating new or ongoing career paths in data science.
2:35pm - 3:05pm
MLOps: What is it and why should you invest in it?
Manasi Vartak – Co-founder and CEO at Verta.AI
3:10pm - 3:40pm
Aligning Financial Portfolios with Global Sustainability Goals
Rochelle March – Data Science Manager at S&P Global
In 2015, the United Nations developed a blueprint for achieving peace and prosperity for people and the planet by 2030 in the form of 17 global goals and 169 targets for sustainable development. Bridging the estimated $2-3 trillion SDG‑financing gap requires private sector assistance. In order for financial portfolio managers to understand how they currently and can increase capital allocation towards the UN Sustainable Development Goals (SDGs), Trucost created the SDG Analytics product. This product quantitatively measures the SDG alignment of company’s products and services, allows investors to benchmark companies against each other in terms of their SDG performance, and offers portfolio-level metrics to measure both SDG-related risk exposure and positive alignment. The product covers 3,500 companies, 464 different revenue types, and 189 countries and required advanced analytics in Python programming to build the underlying datasets and analysis. This talk will describe the process from conceptualizing an innovative financial product to using analysis tools to build it, and present several new findings from analysis of the inaugural SDG dataset.
3:40pm - 4:00pm
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.