Latest news with #CACEIS
Web Release
3 days ago
- Business
- Web Release
VAST Data Powers Smarter, Evolving AI Agents with NVIDIA Data Flywheel
VAST Data, the AI Operating System company, announced today that it is delivering a complete data and compute platform that enables AI intelligence to continuously evolve. The VAST AI OS, combined with NVIDIA AI Enterprise, which includes NeMo microservices that power a data flywheel for continuous model improvement, creates a unified environment where AI pipelines can constantly learn, adapt, and improve. This reference workflow provides a self-optimizing foundation for scalable AI, laying the groundwork for billions of intelligent agents to fine-tune and evolve from their data and experiences. This solution provides enterprises with a converged software platform for data management, database services, and AI compute orchestration. Additionally, VAST AI OS AgentEngine uniquely shares feedback by providing the critical capability to map the intricate web of agent-data interactions through production logs. This granular traceability allows the flywheel to dissect these multi-step interactions, accurately identifying which specific elements require adjustment to enhance outcomes, accelerating model performance and accuracy at scale. 'AI-powered businesses need thinking machines designed for a future where billions of AI agents learn from their own experiences, fine-tune in real time, and create new possibilities through collaboration,' said Jeff Denworth, Co-Founder of VAST Data. 'By unifying NVIDIA's AI software and hardware technologies within the core of the VAST AI Operating System, we are giving customers the foundation to operationalize continuous improvements in AI intelligence at scale, with the security, governance, and service delivery tools required to manage these intelligent agents and the data they rely upon.' As AI moves from isolated projects to always-on infrastructure, businesses need systems that evolve in real time with every data point while addressing new security and governance challenges around fine-tuned models, agent interactions, and decentralized data pipelines. This collaboration makes it possible to run continuous, automated AI pipelines – from ingestion to inference to retraining – all managed within the VAST AI Operating System. Among the first to embrace this strategy is CACEIS, one of Europe's largest asset servicing firms. In collaboration with VAST and NVIDIA, CACEIS is exploring a real-time AI platform concept designed to securely capture, transcribe, and analyze 100% of client meetings. The vision is for the system to instantly generate meeting minutes, surface actionable insights, and deliver anonymized trend data — all seamlessly integrated into their sovereign CRM. With an end-to-end security model at its foundation, the platform is being designed to safeguard client privacy and data integrity while continuously evolving through every interaction. 'AI will be a game-changer, highlighting trends in current needs by analysing meeting reports so we can better serve clients,' said Arnaud Misset, Chief Digital Officer, CACEIS. Using VAST's AgentEngine that leverages the NVIDIA AI-Q Blueprint, CACEIS is developing a platform proof of concept that would enable AI agents to assist relationship managers in real time and help uncover new business opportunities. Built by NVIDIA NeMo microservices and the NVIDIA data flywheel blueprint, the envisioned CACEIS AI factory would continuously capture data and insights from every customer interaction. These feedback loops are intended to drive ongoing model refinement and training, allowing the system to improve and adapt with each meeting. As AI agents learn from one another and from human counterparts, this concept sets the stage for new ideas, collective intelligence, and enterprise-wide knowledge sharing to take shape. This capability was showcased during NVIDIA's Kari Briski's presentation at GTC Europe in Paris. Watch the demo replay here. This collaboration signals a broader shift in enterprise AI, from one-size-fits-all models to dynamic ecosystems of intelligent agents that continuously fine-tune, collaborate, and generate new ideas from their own data and interactions. Managing these agents at scale requires fine-grained security, governance, and access controls to ensure they operate safely and within defined boundaries. It also demands scalable, dynamic infrastructure capable of handling the varied and unpredictable demands of AI agents as they interact with diverse data tools and services. The VAST AI Operating System provides this real-time data infrastructure, along with compute orchestration, QoS tools that enforce fairness as different agents run within the environment, and a security framework to refine intelligence and operationalize AI innovation in a secure, scalable, and adaptive system. 'Data flywheels leverage each interaction with an AI agent to continuously improve system intelligence and value,' said Kari Briski, Vice President of Generative AI Software at NVIDIA. 'CACEIS is an exemplary pioneer with a vision of building an agentic AI data flywheel with NVIDIA and VAST to supercharge productivity for financial services in Europe.' Additional Resources: ? VAST + NVIDIA ? DEMO: AI Agents Unlocked: CACEIS Redefines Client Conversations With VAST Data and NVIDIA ? NVIDIA BLOG: Chat with Your Enterprise Data: Open-Source AI-Q NVIDIA Blueprint Puts Institutional Knowledge at Your Fingertips ? NVIDIA BLOG: Sovereign AI Agents Think Local, Act Global With NVIDIA AI Factories ? NVIDIA BLOG: Build Efficient AI Agents Through Model Distillation With NVIDIA's Data Flywheel Blueprint
TECHx
6 days ago
- Business
- TECHx
VAST Data Unveils AI OS to Power Evolving AI Agents
Home » Tech Value Chain » Global Brands » VAST Data Unveils AI OS to Power Evolving AI Agents VAST Data, the AI Operating System company, has announced a complete data and compute platform that enables continuous AI intelligence evolution. The VAST AI OS, integrated with NVIDIA AI Enterprise and NeMo microservices, powers a self-optimizing AI flywheel. This creates a unified environment where AI pipelines can learn, adapt, and improve at scale. The platform delivers: A converged software solution for data management, database services, and AI compute orchestration. AgentEngine, a tool offering feedback by mapping complex agent-data interactions through production logs. This approach allows enterprises to identify and adjust key performance elements, boosting model accuracy and learning speed. Jeff Denworth, Co-Founder of VAST Data, said the solution supports businesses building 'thinking machines' that fine-tune in real time and collaborate to generate new outcomes. By integrating NVIDIA's software and hardware within the VAST AI OS, the company enables customers to manage AI agents and data with security, governance, and service tools. As AI moves into real-time, always-on infrastructure, enterprises require systems that evolve with each data point while addressing security and governance for decentralized pipelines and agent interactions. This collaboration enables automated AI workflows from ingestion to inference and retraining within the VAST AI Operating System. CACEIS, one of Europe's largest asset servicing firms, is among the first adopters. In partnership with VAST and NVIDIA, it is exploring a real-time AI platform that: Captures and analyzes 100% of client meetings. Instantly generates meeting minutes and insights. Integrates anonymized data into a secure CRM. The platform features an end-to-end security model to protect privacy and ensure data integrity. CACEIS is also using VAST's AgentEngine with NVIDIA AI-Q Blueprint to develop AI agents that support relationship managers and reveal business opportunities. These agents will use NeMo microservices to refine models through continuous feedback and shared intelligence. Kari Briski, Vice President of Generative AI Software at NVIDIA, showcased this capability at GTC Europe in Paris. The demo highlighted the role of data flywheels in enhancing system intelligence. Briski stated that CACEIS is a pioneer in building agentic AI systems with NVIDIA and VAST to boost productivity in financial services. VAST Data's solution represents a shift from static models to dynamic AI ecosystems. These systems require scalable infrastructure and strict governance to support evolving intelligent agents across enterprise environments.
