This event is designed as a panel discussion with industry experts. During this online meet up, you'll interact with a panel of industry experts ready to answer all of your questions about productizing data science in your workplace.
Data Products sit at the intersection of data science and product management. It's critical to have a roadmap in place which enables delivery of products driven by data science R&D directly to end users. Join us for a panel discussion, led by industry and product experts, about data products strategy and implementation. We'll discuss the organizational and technological implementations needed to achieve a successful deployment, turning data science investment to increased value for users and profit for the business.
How data products ideas are generated, approved, and tasked
Who are the stakeholders - their ROI expectations of data product projects and how you expose that ROI
The line between data science R&D and shipping product - who owns this lifecycle from inception to delivery to maintenance
How do engineering, product, and data science teams collaborate to scale data science experiments to productionized software
The incremental path from traditional implementations to data science driven implementations of a feature
Critical pieces missing from the data science productization lifecycle today
Steve is a technology executive with a deep understanding of products rooted in data-driven analytics. He’s managed teams, operationalized strategies, and designed solutions across industries to generate value for customers based on quantifiable decisions made by data analysis. He’s currently the CPO of Moove.ai, a company focused on transportation safety and autonomous driving behavioral consistency.
Sheena is a multifaceted product manager who’s delivered many a data science-driven product feature. Having worked for companies from enterprise to startup, she has the skills to extract reqs from unruly customers and drive teams to successful deliveries. She’s out on her own now helping clients get consistent, profitable product into the hands of their customers.
Tim’s an OG data scientist. He’s been working to blur the lines between data science and data engineering since before those terms were buzzwords. Tim’s experience in the security industry is fascinating, and his approach to tackling data-driven systems architectures is informed by this high volume, high-velocity environment. He’s currently architecting data science solutions for DTN. His new podcast, Into The Hopper, is a fun and pragmatic view of the data world.
This event is designed as a panel discussion with industry experts. During this online meet up, you'll interact with a panel of industry experts ready to answer all of your questions about productizing data science in your workplace.
Data Products sit at the intersection of data science and product management. It's critical to have a roadmap in place which enables delivery of products driven by data science R&D directly to end users. Join us for a panel discussion, led by industry and product experts, about data products strategy and implementation. We'll discuss the organizational and technological implementations needed to achieve a successful deployment, turning data science investment to increased value for users and profit for the business.
How data products ideas are generated, approved, and tasked
Who are the stakeholders - their ROI expectations of data product projects and how you expose that ROI
The line between data science R&D and shipping product - who owns this lifecycle from inception to delivery to maintenance
How do engineering, product, and data science teams collaborate to scale data science experiments to productionized software
The incremental path from traditional implementations to data science driven implementations of a feature
Critical pieces missing from the data science productization lifecycle today
Steve is a technology executive with a deep understanding of products rooted in data-driven analytics. He’s managed teams, operationalized strategies, and designed solutions across industries to generate value for customers based on quantifiable decisions made by data analysis. He’s currently the CPO of Moove.ai, a company focused on transportation safety and autonomous driving behavioral consistency.
Sheena is a multifaceted product manager who’s delivered many a data science-driven product feature. Having worked for companies from enterprise to startup, she has the skills to extract reqs from unruly customers and drive teams to successful deliveries. She’s out on her own now helping clients get consistent, profitable product into the hands of their customers.
Tim’s an OG data scientist. He’s been working to blur the lines between data science and data engineering since before those terms were buzzwords. Tim’s experience in the security industry is fascinating, and his approach to tackling data-driven systems architectures is informed by this high volume, high-velocity environment. He’s currently architecting data science solutions for DTN. His new podcast, Into The Hopper, is a fun and pragmatic view of the data world.
