Responsible governance doesn’t always have to be a death knell for innovation. In fact, if done right, it can be the thing that helps you thrive. In part 2 of the conversation between Gaurav Pathak, VP of Product Management for AI and Metadata at Informatica and host and VP of Data Governance and Data Integration Solution Sales at Informatica, Amy Horowitz, the pair continues the discussion around the future of AI, spotlighting the criticality of governance and security. 


Together, they explore: 

• The fundamentals of AI governance and its role in enterprise innovation
• Why governance creates helpful guardrails rather than barriers to progress
• The two types of AI data: grounding data (enterprise reality) and training data (new skills)
• The significance of China's Deep Seek model and its impact on AI accessibility
• Legal teams' concerns about AI data management and access controls
• How organizations can balance innovation with responsible AI governance practices
  
  

Whether you’re looking to enhance AI governance structures in your organization or set the stage for perfect balance between regulation and innovation around AI, this conversation spotlights the fact that security and creativity do not have to be in conflict with each other.  
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This podcast is brought to you by Informatica, the leader in enterprise cloud data management.
Episode Highlights:
00:00 Intro
01:00 The Wild, Wild West of AI & AI Governance 05:14 The Linux Moment for AI09:11 The Informatica Model & Getting Comfortable with Governance 


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Previous guests include:
Salema Rice host of Data Governance and Data Integration Solution Sales, Willem Koenders of ZS Associates, Tanja Ubert of Rotterdam University of Applied Sciences, Graeme Thompson of Informatica

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