Below you will find all the recordings for the Data Changemakers Festival!
If you are in business today, you have no choice but to embrace transformation. Join this fireside chat with the CTO of Nokia + President of Bell Labs, Marcus Weldon hosted by Narrative Science VP of Marketing, Cassidy Shield, as they talk through what most leaders get wrong about driving innovation and how not to be left behind.
In this session, hear from Guy Levy-Yurista, Chief Strategy Officer at Sisense, about humanizing data and revolutionizing how we interact with AI.
Join Dr. Rajkumar Venkatesan, marketing analytics expert, to learn about real, easily implemented strategies to efficiently use both consumer and data insights to drive change at your organization.
Organizations face 3 primary challenges when deploying advanced analytics – data silos, language barriers, & tooling. Making data science business-relevant requires bridging the analytics gap between BI and ML teams. In this session, we will show you how to identify the key characteristics of “analytics silos” and offer strategies for breaking them down.
James Richardson, Research Director at Gartner, will answer the following questions:
– How can data storytelling techniques boost decision-makers’ engagement with data?
– What are the shortfalls in human-made data stories?
– How is literary criticism helping machines learn to tell data stories?
– How might automated ML/AI-based data storytelling change how analytics is done?
* Note: This session was only available live.
ETL isn’t just for data scientists anymore. Customers, product teams, implementation teams, and more all need it. Join this fireside chat with the CEO of Flatfile, David Boskovic hosted by Narrative Science Sr Director of Customer Success, Teddy Griffin, as they talk through how to solve the hard data problems for the non-data scientists in your organization.
In order to drive change through data, you need people to both understand it and actually use it to make new, better decisions. Join Scott Francis, Solutions Architect at AWS, to learn how to put your data insights into a strategic narrative using the Hero’s Journey framework.
A panel of business leaders share their advice on how they have driven innovation through creating a data culture. Featuring:
– Josh Batz, CTO at Fike Corporation
– Keith Westman, COO for Otus
– Tanya Gay, VP of Operations & Strategy at WhiteHat Security
Join Elissa Fink, former CMO of Tableau, to learn about how to truly drive a data-driven culture in your organization, and how that is what leads to real and tangible change.
Hear from Donald Farmer, Principal at Treehive Strategy, about why and how your vendor relationships can make or break your success.
A panel of leaders in the data and analytics space share their learnings about how they have navigated their careers and what they have learned along the way.
Despite today’s data-rich business environment, analytics often doesn’t drive meaningful organizational change. Join Bonsai Data Solutions co-founder Matt Butler for an honest conversation about why great data science and analytics fails to influence decision making, and some simple, practical steps to improve the “changemaking” impact of data at your company.
Real change doesn’t happen all at once. Especially in large organizations. Doug will share best practices as he’s applied agile principles to data work inside some of the world’s largest organizations to create change, faster.
Curiosity and compassion to uncover the story is key to augmenting analytics strategy and maximizing the effectiveness of your results. Hear from Dr. Uohna Thiessen about how to:
– Clean dirty data
– Make sense of the business problem and discern the appropriate KPI
– Understand the structure of the data and choose the appropriate algorithm
Data storytellers and changemakers have a promising landscape of new tools and strategies. But how do we succeed with the change? Charlie Dunn, Project Storyteller at DPR Construction, will guide viewers through a practical session, with stories of success and learning (otherwise known as failure) to bring change and create action with data.
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