Latest news with #NvidiaNeMo
Yahoo
07-05-2025
- Business
- Yahoo
ServiceNow, Nvidia develop LLM to fuel enterprise agents
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Dive Brief: ServiceNow and Nvidia developed an open-source AI model to fuel enterprise agents as part of an expanded partnership introduced Tuesday at ServiceNow's annual Knowledge conference. The pair of vendors designed Apriel Nemotron 15B to provide agentic capabilities at a lower cost. ServiceNow and Nvidia noted that the model delivers lower latency and inference costs, making it faster and more cost-effective to run on Nvidia's infrastructure. Customers can begin accessing the LLM in Q2 2025. ServiceNow and Nvidia also unveiled a joint data flywheel architecture or data feedback loop to improve AI agent performance by integrating select Nvidia NeMo microservices with ServiceNow's Workflow Data Fabric. The architecture 'enables a closed-loop learning process that improves model accuracy and adaptability,' the companies said. Dive Insight: Enterprises are exploring AI agent use cases and the value that agentic services can bring, but leaders have concerns. Technical and organizational challenges are plentiful, from governing the tools to securing the ever-expanding attack surface. Plus, nearly 2 in 5 businesses say integrating the technology with current systems is very or extremely challenging, according to a Cloudera report published last month. Workers have expressed concerns, too, especially in terms of accuracy and reliability. More than one-third of workers said AI-produced work is subpar compared with their own, according to a Pegasystems survey. CIOs, however, continue to have high hopes for the technology. Businesses have mostly aimed implementation efforts at the IT service desk, data processing and code development, according to a report. Walmart is an early adopter of the technology, giving developers access to agents designed to identify accessibility gaps in code. Expedia is in the experiment phase, enabling employees to experiment with AI agents as part of a generative AI playground. Other companies on the agent deployment path include Toyota Motor Corporation, Estée Lauder Companies and KPMG. For their part, vendors are working to ease concerns and lower barriers to entry. Most technology providers have curated toolkits and services to accelerate agent development and implementation for enterprise customers. ServiceNow added thousands of pre-built AI agents earlier this year to kickstart adoption among customers. Salesforce expanded its model lineup last week in support of agentic AI, adding variations to increase accessibility and deployment flexibility across potential environments. Snowflake released its own agents in February that can identify fiscal year start dates, explain internal naming conventions and prioritize key tables during SQL generation.
Yahoo
25-03-2025
- Business
- Yahoo
Cognizant and Nvidia collaborate to accelerate AI adoption
Cognizant has announced a strategic collaboration with AI chipmaker Nvidia aiming to accelerate the adoption of AI technologies across various industries. The partnership will leverage Nvidia's advanced AI capabilities to drive innovation in five key areas. During the Nvidia GTC 2025 event, Cognizant outlined its plans to enhance its offerings in enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational infrastructure for AI, and the functionality of its Neuro AI platform. Cognizant's Neuro AI Multi-Agent Accelerator, powered by Nvidia's NIM microservices, is set to enable clients to rapidly build and scale multi-agent AI systems. These systems will support adaptive operations, real-time decision-making, and personalised customer experiences. The platform also allows seamless integration of third-party agent networks and most LLMs, providing greater flexibility for businesses adopting AI solutions. The partnership's primary goal is to integrate Nvidia's AI technology across Cognizant's enterprise technology stack, with active client engagements underway in multiple industries. The partnership integrates Nvidia's AI technologies such as Nvidia NIM microservices, Nvidia NeMo, Nvidia Omniverse, and Nvidia RAPIDS, into Cognizant's AI ecosystem to deliver scalable solutions. Additionally, Cognizant is developing multi-agent systems with integrated Nvidia technologies, including Nvidia Blueprints and Nvidia Riva speech AI. The systems are designed with modularity and adaptability, incorporating security guardrails and human oversight. Industry-specific use cases include automated insurance claims processing, appeals and grievances handling, and supply chain management. Cognizant Core Technologies and Insights president Annadurai Elango said: 'We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI. 'Through our collaboration with Nvidia, Cognizant will be building and deploying solutions that accelerate this process and scale AI value faster for clients through integration of foundational AI elements, platforms and solutions.' In October 2024, Cognizant partnered with pharmaceutical company Alnylam Pharmaceuticals to serve as a primary technology services provider to scale IT operations. "Cognizant and Nvidia collaborate to accelerate AI adoption" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
