Nasuni Launches Groundbreaking Operational File Data Platform for AI Era
In a significant leap forward for AI infrastructure, Nasuni has announced the launch of its innovative operational file data platform, designed specifically for the AI era. This new platform introduces vital features such as AI Activate, Enterprise Search, Resilio 6.0, and the recently acquired DryvIQ, all aimed at managing unstructured data efficiently. The shift towards AI in businesses underscores the importance of leveraging proprietary data and context that resides in fluid operational files.
Key Features of the New Platform
AI Activate and Resilio 6.0
The introduction of
AI Activate is a major milestone, enabling seamless integration of AI directly with enterprise file data via the open Model Context Protocol (MCP). This connectivity allows AI to access live operational files, eliminating the need for separate data copies and reducing complexities in data permissions.
In addition,
Resilio 6.0 extends the Nasuni platform's capabilities to the edge, enabling peer-to-peer distribution that enhances file delivery speeds to up to 200 Gbps, making it perfect for teams spread across different locations like construction sites or field offices.
Enhanced Data Governance
The acquisition of
DryvIQ significantly bolsters Nasuni's content intelligence and governance capabilities. This technology enables enterprises to manage file data spread across over 40 repositories, offering content classification and identification of sensitive data types such as personally identifiable information (PII). With automated governance policies, organizations can apply intelligent data management practices across their data environments.
Enterprise Search
Expected to roll out soon, the
Enterprise Search feature introduces a fully hosted, permission-aware full-text search capability. This advancement makes enterprise knowledge readily discoverable not only by personnel but also by AI tools, creating a unified environment for information access.
Addressing Enterprise Challenges with AI Data
As organizations increasingly recognize the value of AI, many face hurdles in harnessing their unstructured data efficiently. Nasuni’s research indicates a troubling trend: many enterprises fail to meet their AI project objectives. Sam King, Nasuni's CEO, emphasized that the real challenge lies not solely in the AI models themselves but also in understanding and utilizing one's proprietary data effectively.
He stated, “Enterprise AI has moved past the hype and onto the hard part,” highlighting that while organizations may have adopted large language models (LLMs), realizing tangible business value from these investments remains complicated.
Real-World Impact on Customers
Sending ripples of change across various sectors, Nasuni's platform assists customers in cutting down their infrastructure costs, enhancing recovery speeds, and boosting overall productivity. Some notable customer experiences include:
- - McKim and Creed consolidated 27 file servers onto the Nasuni platform, experiencing a reported 50% rise in productivity during initial Resilio trials.
- - Wood, who transitioned from a fragmented legacy system to a cohesive global platform, can now leverage AI Activate to bridge enterprise AI tools with their file data seamlessly.
- - Omnicom Group has enjoyed the benefits of Nasuni's expansive storage capabilities, reducing ransomware recovery times from days to mere minutes.
Framework for AI Data Readiness: PSYCHIC
As companies look to enhance their AI readiness, Nasuni introduced
PSYCHIC, a vendor-neutral framework that clarifies what it means for data to be AI-ready. This framework facilitates better communication among AI councils, IT departments, and business leaders on identifying gaps and aligning priorities with respect to their data infrastructure.
In summary, Nasuni's unveiling of its first-of-its-kind operational file data platform marks a pivotal moment in the intersection of unstructured data management and AI capabilities. With features tailored to enhance productivity and security, it sets a new benchmark for enterprises looking to navigate the complexities of AI in the digital age.