Using AI To Improve Data Science Productivity
Key Takeaways:- Discover how AI can automate key business tasks and improve data science workflows.
- Learn how to plan, execute, and measure ROI for data science improvement initiatives.
- Explore the tools and technologies that boost productivity through AI-assisted data science.
Description
AI is reshaping how data science teams work, offering new ways to automate tasks, streamline workflows, and drive greater productivity. For organizations looking to get more out of their data science efforts, AI can be the key to automating repetitive processes, optimizing workflows, and enabling teams to focus on more strategic, value-adding activities. However, without a clear approach, it can be challenging to understand where AI can have the biggest impact and how to effectively integrate it into data science initiatives.
In this session, Duncan Gilchrist, Co-founder at Delphina, will guide you through how AI can transform data science productivity. You’ll learn which areas of business can benefit from automation, how AI can streamline data science workflows, and which teams can leverage AI to enhance their work. Duncan will also cover how to plan and run data science improvement initiatives, measure their ROI, and explore the tools and technologies that support AI-assisted data science. Whether you’re a data leader or a practitioner, this session will provide actionable insights to make AI work for your team.
Presenter Bio
Duncan Gilchrist is the Co-Founder at AI-assisted data science platform Delphina. He has extensive experience in running data science and data engineering teams at scale, with a focus on using machine learning and AI for automation. Previously, Duncan was Vice President of Data Science and Engineering at Gopuff, and Director of Data Science at Uber.