Untangling Data Complexity for AI

Data wranglers and AI dreamers, listen up - Data chaos is real! Tech guru Mekka Williams sits down with the brilliant (and unflinchingly honest) Phoebe Goh to dissect the wild world of data management for AI applications. This tangle of information doesn’t just complicate processes; it makes accessing and leveraging data for AI applications an uphill battle.

 

In this episode, Phoebe, our Principal Technical Evangelist, breaks down the common pitfalls organizations face, shares practical strategies to clean up the mess, and explores how to unlock the true potential of data for smarter AI. Whether you’re grappling with disorganized data or simply curious about what it takes to implement AI effectively, this candid conversation will give you a clearer path forward.

Tune in for valuable lessons you won’t want to miss!

1. Key Takeaways:
2. Discover why data is the essential "fuel" for AI and how its value hinges on being properly collected, managed, and refined.
3. Explore the common struggles organizations face with disorganized and complex data, and how these challenges hinder AI implementation.
4. Learn why a clear data strategy is critical for achieving AI goals and how ensuring data diversity and inclusiveness can prevent biased, exclusionary AI systems.

Learn more about how to achieve your AI goals

https://www.netapp.com/pdf.html?item=/media/120560-2024-data-complexity-survey-report.pdf

 

Intelligent Data Infrastructure:

https://www.netapp.com/intelligent-data-infrastructure/

 

This week’s Cool and Current: Check out Google’s NotebookLM

https://notebooklm.google/

 

Phoebe Goh LinkedIn:

https://www.linkedin.com/in/phoebegoh/

Mekka Williams LinkedIn:

https://www.linkedin.com/in/mekkacodes/