What’s getting in the way of AI moving into production?
Hi everyone! A lot of companies are experimenting with AI. Fewer are getting those projects into production. This Data Wire article looks at what can slow that down in financial services, including data readiness, governance, orchestration, and resilience. What are you seeing? What’s the biggest hurdle between an AI pilot and production? Would love to hear what others are seeing in the field.Accelerate Breakout Replay: GenAI in Finance: Simplified, Scalable, and Ready for Real Time
This session covers simplified deployment, RAG workflows, reliable networking, real-time insights, and scalable AI compute for secure, low-latency finance AI. Speakers: Mike Russo Philip Ninan Jon Owings Ryan Avery, WWT Ed Chapman, Arista Kevin Curtis, Supermicro Prabhu Ramamanmoorthy, NVIDIA Nataraj Dasgupta, KX Systems https://www.purestorage.com/video/webinars/gen-ai-in-finance-ready-for-real-time/6375812645112.htmlAccelerate Breakout Replay: Leveraging the Power of AI to Gain Competitive Advantage in Capital Markets
See how Pure Storage + KX power real-time GenAI insights in capital markets, using ultra-low latency vector databases and fast data access. Speakers: Mike Russo Rob Glanzman https://www.purestorage.com/video/webinars/leveraging-the-power-of-ai-competitive-advantage/6375341256112.html
