As we build towards the India – AI Impact Summit 2026 which is being held in New Delhi on February 19-20, 2025, Center of Policy Research and Governance is hosting a pre-summit event that will deep dive into the transformative role of #AIInFinTech. You can join us in enriching
ENTERPRISE AI
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Old stack vs New stack: consultants+tools to LLM+clarity
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Old stack: consultants + tools. New stack: LLM + clarity.
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Organizational constraints and societal shifts from AI advancement
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The focus on near-term mass replacement of white collar work with AI has two big gaps:
1) The nature of organizations limits the speed of change, even with AGI
2) But if AI is good enough to do all work, the societal changes would be so huge that job loss would be just the start -
Security guardrails for coding agents in organizations
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We need more visibility into their actions and be able to set real-time guardrails across all our coding agents to ensure we're security compliant. If you're rolling out Claude Code to your organization, this is crucial.
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Gateway Service for AI Tool Monitoring and Safety Controls
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One of the approaches here is to use a gateway service that can observe all tool calls made and help you understand what tools are used, how they are used, and also be able to set guardrails on them. We're making one at MintMCP, and it's been really interesting to see what it
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Human Expertise and Iteration Drive AI Model Improvements
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“Experts in the loop + tight iteration drove real gains for Dragon” (via Asha Sharma on @lennysan
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People think AI is like electricity, but it’s a collaborator needing management
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People think AI is like electricity: plug it in and it works. The truth is closer to hiring talent. You need to:
• Give it clear roles
• Build feedback loops
• Align incentives with outcomes AI is not just a tool – it’s a collaborator.
And collaborators need management. -
Generative and Agentic AI Transforming Financial Services
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💳 How is Generative + Agentic AI reshaping financial services?
— NVIDIA AI (@NVIDIAAI) 10 septembre 2025
Featuring: Prem Natarajan, EVP, Chief Scientist, and Head of AI at @CapitalOne
On the NVIDIA AI Podcast, he shares how his team is building AI-powered systems to:
⚡ Reduce cognitive burden for customers +… pic.twitter.com/krKdqPM8FzHow is Generative + Agentic AI reshaping financial services? Featuring: Prem Natarajan, EVP, Chief Scientist, and Head of AI at @CapitalOne On the NVIDIA AI Podcast, he shares how his team is building AI-powered systems to: Reduce cognitive burden for customers +
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Stable Audio 2.5 Launch: Partnership with Amp for Sound Branding
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With the launch of Stable Audio 2.5, we’re also partnering with leading sound branding agency amp, part of the Landor Group, a @WPP company, to co-develop enterprise solutions for innovative brands who want to create iconic sound identities and experiences.
→ View original post on X — @stabilityai, 2025-09-10 14:28 UTC
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Stable Audio 2.5: Enterprise-Grade Sound Production Model Launch
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Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊
— Stability AI (@StabilityAI) 10 septembre 2025
Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator.… pic.twitter.com/lCiSOO4RT2Today we’re launching Stable Audio 2.5: The first audio model built for enterprise-grade sound production 🔊 Audio influences brand engagement by 86%, but few enterprises are leveraging audio as an extension of their brand, making customized sound an untapped differentiator. Stable Audio 2.5 is purpose-built for this opportunity to create customizable, high-quality audio at scale, with capabilities that include: ▶️ Improved musical composition: Generate full songs with multi-part structure, meaning a clear intro, middle, and outro. ▶️ Audio inpainting: Input audio, select where the track should start, and the model uses the context to generate the rest of the track. ▶️ Customization: Our team can fine-tune Stable Audio 2.5 to help enterprises create the right sound for their brand. ▶️ Faster inference: The model can generate up to three-minute long tracks in under two seconds on a GPU, outputting in just eight steps (compared to ~50 in the previous model). You can learn more here 👉 bit.ly/46uYmxR
→ View original post on X — @stabilityai, 2025-09-10 14:28 UTC