Maryam Tabatabaeian on centralized data tracking with Weights & Biases at Cisco

Join Maryam Tabatabaeian, Sr. Data Scientist at Cisco, as she shares the transformative impact of Weights & Biases on data tracking and collaboration. Discover how a centralized approach revolutionized their workflow:
Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers
Topics covered include:
- Addressing the need for centralized data tracking to avoid manual checks for dataset versions and transformations.
- Streamlining contributions and access to datasets, enhancing team efficiency.
- Utilizing Weights & Biases for comprehensive data versioning and tracking.
- Implementing an end-to-end pipeline from dataset registration to model evaluation and metrics.
- Learn how Cisco leverages Weights & Biases to create a seamless, collaborative, and efficient data science environment.
Chapters:
0:00 Introduction and Role at Cisco
0:30 Expanding AI in Collaborative Tools
1:30 Challenges in Data Science Adoption
2:37 Implementing Weights and Biases at Cisco
5:17 Impact and Future of AI Technologies