
DataFramed #149 Expanding the Scope of Generative AI in the Enterprise with Bal Heroor, CEO and Principal at Mactores
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Aug 7, 2023 Bal Heroor, CEO and Principal at Mactores, leads the charge in business transformations with innovative AI solutions. In this discussion, he dives into the evolution of generative AI, emphasizing the shift from general-purpose to specialized models tailored for industries like manufacturing and marketing. Bal highlights critical challenges including data quality, governance, and the need for explainable AI. He also explores collaborative strategies for integrating multiple AI models to enhance performance and real-world applications in enterprises.
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Challenges in AI Adoption
- Prioritize data quality, governance, and relevant business outcomes in Generative AI projects.
- Poor data quality leads to biased or useless output.
Data Governance in AI
- Enhance data governance with attribute-based access and policy-based access control.
- This is more scalable than user-role-based access in AI.
Data and AI Lineage
- Data lineage is crucial for AI but often overlooked with modern data tools.
- No current solution tracks lineage end-to-end from ingestion to consumption.



