Accenture announced that Accenture Ventures has invested in Aaru, creators of the leading AI-powered prediction engine that simulates consumer behavior and preferences, driving stronger customer experiences, new growth opportunities and speed-to-market. As part of this collaboration, Accenture Song intends to integrate Lumen—Aaru’s flagship model for the private sector—into its AI products and services across new product development, marketing, customer strategy, and customer service. Aaru’s unique approach to prediction uses multi-agent AI systems to create simulations of human behavior with greater precision based on proprietary and public data sources. Rather than relying on approaches that do not scale well and often face bias, such as time-intensive surveys, focus groups, and research experiments, Aaru’s platform simulates any customer audience to deliver predictions of behavior in a matter of minutes. Accenture’s investment will help Aaru accelerate its growth and expand its capabilities to meet the increasing demand for AI-driven data and analytics. In addition, Baiju Shah, chief strategy officer of Accenture Song, will become a strategic advisor to Aaru as the business continues to scale. Shah says, ” Using Aaru, our creatives and strategists will be able to more accurately simulate entire audiences in a matter of minutes, unlocking customer insights where we couldn’t before. This is a period of incredibly exciting change, where platforms like Aaru will reinvent how we design and deliver products, services, and marketing campaigns.” “Current methods of understanding customers are often limited by issues like sampling bias, data access, self-reporting bias, and scalability problems—not to mention the time taken to gather and analyze this data,” said Cameron Fink, chief executive officer of Aaru. “Simulation is an incredibly powerful tool and will be the differentiator between companies that lead the market and those that fall behind in the AI age. Partnering with Accenture will accelerate the deployment of our prediction technology and unlock the full potential of Aaru across a wide range of industries.”
JFrog Platform offers developers easy, single source of truth access to NVIDIA NGC – a hub for GPU-optimized deep learning, ML, and HPC models
JFrog Ltd is announcing general availability of its integration with NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform. The JFrog Platform is the only unified, end-to-end, and secure DevSecOps and MLOps solution with native NVIDIA NIM integration. This enables rapid deployment of GPU-optimized, pre-approved ML models, and LLMs to production with enterprise-grade security, increased visibility, and governance controls. This unified infrastructure enables developers to create and deliver AI-powered applications with greater efficiency and peace of mind. The JFrog integration with NVIDIA NIM enables enterprises to seamlessly deploy and manage the latest foundational LLMs while maintaining enterprise-grade security and governance controls throughout their software supply chain. By integrating NVIDIA NIM into the JFrog Platform developers can easily access NVIDIA NGC – a hub for GPU-optimized deep learning, ML, and HPC models. This provides customers with a single source of truth for software models and tools, while leveraging enterprise DevSecOps best practices to gain visibility, governance, and control across their software supply chain.