You should attend every single session at this year’s conference — but if life forces you to make cruel choices, consider these first.
The Modern Data Stack Conference 2021 is a richly sprawling affair — it features 40+ sessions across four virtual stages, with keynotes by data visionaries like Azure Data VP Rohan Kumar and Databricks CEO Ali Ghodsi. The conference will cover pretty much everything data professionals care about, from insights as a service and reverse ETL to interactive data applications and self-service analytics.
That’s a lot to get your head around, so here’s a list of can’t-miss sessions — discussions and keynotes that should resonate with anyone working in the data space. You can easily add them to your customized agenda.
Speakers: George Fraser, CEO at Fivetran; Ali Ghodsi, CEO at Databricks; Rohan Kumar, CVP Azure Data at Microsoft Azure
Time and date: 9–10 a.m. PST, September 22
How will teams and tools change analytics? What will the next big disruption to the industry be? How will the modern data stack evolve and impact analytics? Executives from Fivetran, Databricks and Microsoft have a spirited discussion about the future of analytics and their own analytics initiatives.
Speakers: Brittany City, Quantitative Data Analyst 2 at Asurion; Archer Newell, Senior Data Analyst at Fivetran; Gabi Steele, Co-Founder and CEO at Data Culture; Lauren Anderson, Director, Data & Insights at Okta
Time and date: 10:05 a.m.–10:50 a.m. PST, September 22
Creating a beautiful dashboard that tells a story is no mean feat — but if you hand that dashboard to folks who don't know where the data came from, your hard work can get lost in translation. These analytics leaders discuss combatting confusion, avoiding games of “telephone” and successfully building a culture of data literacy.
Speaker: Korri Jones, Sr. Lead Machine Learning Engineer - Enterprise Analytics @ Chick-fil-A
Time and date: 11:05 a.m.–11:35 a.m. PST, September 22
Faced with a global pandemic, how did the Chick-fil-A team prioritize the right analytics and projects to keep the company healthy, protect customers, support frontline workers, and emerge successful?
Speakers: Ben Leiken, Chief Technology Officer at Bid Ops; Caroline Maury, AI Strategist at Dataiku
Time and date: 11:40 a.m.–12:10 p.m. PST, September 22
What does it mean to build and deploy ML models as part of your time-to-market strategy? These ML experts will examine real-life examples and discuss lessons learned and actionable best practices.
Speakers: Natalie Waller, Product Marketing Manager at Fivetran; Steven Mangold, Director of BI at Roofnest; Megan Reuss, Financial Planning and Analysis Manager at Sunday
Time and date: 1:50 p.m.–2:20 p.m. PST, September 22
The panelists will explore a hypothetical yet familiar product-development scenario, outlining the steps they would take to reform back-end product data to measure product performance. Learn how to turn visual product attributes into clean, manageable and actionable data sets that can be used to improve forecasting.
Speaker: Jonathan Haidt, Thomas Cooley Professor of Ethical Leadership at New York University
Time and date: 9–10 a.m. PST, September 23
Data alone rarely moves people to change strongly held beliefs. Research shows that emotions, intuitions and stories are often more powerful. Professor Jonathan Haidt will present the three main principles of moral psychology and persuasion.
Speakers: Sarah Catanzaro, Partner at Amplify Partners Analytics; Benn Stancil, Chief Analytics Officer & Founder at Mode Analytics; Jess Tillis, Senior Manager of Global Operations at Fivetran; Maura Church, Director of Data Science at Patreon
Time and date: 11:05 a.m.–11:35 a.m. PST, September 23
Self-service. Data democratization. We've heard the phrases and the promises they unlock — more folks getting their hands on the data they need thanks to automation. But is this really an obtainable goal? And if it is, should we actually be aiming for it?
Speaker: Aaron Peabody, Co-Founder & CTO at Untitled
Time and date: 11:40 a.m.–12:10 p.m. PST, September 23
The modern data stack is about more than your team, your business and time to insight. Learn how companies are pointing their modern data stacks externally to build products that delight customers.