News from the AI & ML world
DeeperML - #servicenow
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@www.artificialintelligence-news.com
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ServiceNow is making significant strides in the realm of artificial intelligence with the unveiling of Apriel-Nemotron-15b-Thinker, a new reasoning model optimized for enterprise-scale deployment and efficiency. The model, consisting of 15 billion parameters, is designed to handle complex tasks such as solving mathematical problems, interpreting logical statements, and assisting with enterprise decision-making. This release addresses the growing need for AI models that combine strong performance with efficient memory and token usage, making them viable for deployment in practical hardware environments.
ServiceNow is betting on unified AI to untangle enterprise complexity, providing businesses with a single, coherent way to integrate various AI tools and intelligent agents across the entire company. This ambition was unveiled at Knowledge 2025, where the company showcased its new AI platform and deepened relationships with tech giants like NVIDIA, Microsoft, Google, and Oracle. The aim is to help businesses orchestrate their operations with genuine intelligence, as evidenced by the adoption from industry leaders like Adobe, Aptiv, the NHL, Visa, and Wells Fargo. To further broaden its reach, ServiceNow has introduced the Core Business Suite, an AI-driven solution aimed at the mid-market. This suite connects employees, suppliers, systems, and data in one place, enabling organizations of all sizes to work faster and more efficiently across critical business processes such as HR, procurement, finance, facilities, and legal affairs. ServiceNow aims for rapid implementation, suggesting deployment within a few weeks, and integrates functionalities from different divisions into a single, uniform experience. Recommended read:
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Coen van@Techzine Global
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ServiceNow is making significant strides in the realm of agentic AI, highlighted at their Knowledge 2025 conference. A key announcement is a partnership with Nvidia to develop Apriel Nemotron 15B, an open-source reasoning model. This model is designed to be faster and more cost-effective than larger language models, while still providing enterprise-grade intelligence. The ambition is to give businesses a single, coherent way to get all their different AI tools and intelligent agents working together, right across the company.
NVIDIA NeMo, NVIDIA Llama Nemotron open datasets and ServiceNow domain data trained on NVIDIA DGX Cloud was used to create this new model. Apriel Nemotron 15B is engineered for reasoning. It draws inferences, weighs goals, and navigates rules in real-time. This makes it well-suited for powering AI agents that can support thousands of concurrent enterprise workflows. Furthermore, ServiceNow and NVIDIA are introducing a new data flywheel architecture, integrating ServiceNow’s Workflow Data Fabric with NVIDIA NeMo microservices, enabling continuous learning and improvement for the AI model. In addition to the Nvidia partnership, ServiceNow is launching Agentforce for HR Service. This initiative brings AI agents and Service Cloud capabilities to human resources, empowering employees to get personalized answers to HR-related questions and take action on their own, freeing overwhelmed HR teams to focus on more strategic work. ServiceNow believes AI innovation is the answer here, a way to fundamentally change how businesses run – making them more resilient, more efficient, and helping them get a handle on costs, all while chipping away at that mountain of tech debt and operational guesswork. Recommended read:
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Coen van@Techzine Global
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ServiceNow has announced the launch of AI Control Tower, a centralized control center designed to manage, secure, and optimize AI agents, models, and workflows across an organization. Unveiled at Knowledge 2025 in Las Vegas, this platform provides a holistic view of the entire AI ecosystem, enabling enterprises to monitor and manage both ServiceNow and third-party AI agents from a single location. The AI Control Tower aims to address the growing complexity of managing AI deployments, giving users a central point to see all AI systems, their deployment status, and ensuring governance and understanding of their activities.
The AI Control Tower offers key benefits such as enterprise-wide AI visibility, built-in compliance and AI governance, end-to-end lifecycle management of agentic processes, real-time reporting, and improved alignment. It is designed to help AI systems administrators and other stakeholders monitor and manage every AI agent, model, or workflow within their system, providing real-time reporting for different metrics and embedded compliance and AI governance. The platform helps users understand the different systems by provider and type, improving risk and compliance management. In addition to the AI Control Tower, ServiceNow introduced AI Agent Fabric, facilitating communication between AI agents and partner integrations. ServiceNow has also partnered with NVIDIA to engineer an open-source model, Apriel Nemotron 15B, designed to drive advancements in enterprise large language models (LLMs) and power AI agents that support various enterprise workflows. The Apriel Nemotron 15B, developed using NVIDIA NeMo and ServiceNow domain-specific data, is engineered for reasoning, drawing inferences, weighing goals, and navigating rules in real time, making it efficient and scalable for concurrent enterprise workflows. Recommended read:
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@www.marktechpost.com
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ServiceNow AI has launched Apriel-5B, a new family of small language models (SLMs) designed to rival larger language models (LLMs) while requiring fewer resources. This release addresses the growing challenge of deploying large-scale models, which often demand significant infrastructure and incur high operational costs, making them inaccessible to many organizations. Apriel-5B, with its 4.8 billion parameters, aims to bridge the gap between capability and deployability, offering competitive performance on instruction-following and reasoning tasks while being deployable on modest hardware. The Apriel family includes Apriel-5B-Base, a pre-trained model for further tuning, and Apriel-5B-Instruct, an instruction-tuned version for chat, reasoning, and task completion. Both models are released under the MIT license to encourage open experimentation and broader adoption across various sectors.
ServiceNow is also heavily invested in integrating AI across its operations, including significant R&D and engineering efforts in India. According to Paul Smith, president of global customer and field operations at ServiceNow, 85% of ServiceNow India's resources are dedicated to R&D and engineering. This reflects India's crucial role in building the future of enterprise automation, as the engineering team has grown at an average annual rate of 25% over the last three years. These efforts are paying off, with the company currently running over 200 agentic use cases in production, generating $325 million in annual savings. This includes improving internal processes such as finance help desk turnaround times from four days to just eight seconds using ServiceNow agents, allowing redeployment of staff to more strategic roles. Furthermore, ServiceNow is leveraging AI to enhance its AIOps capabilities, building an AIOps chatbot with Amazon Q Business custom plugins. This chatbot integrates multiple third-party applications into a unified, natural language-driven interface. By using OpenAPI schemas, the chatbot can interact with AWS infrastructure, enabling users to query data and perform actions using natural language prompts. For instance, users can ask the chatbot to check Amazon S3 bucket access settings or close open ports on Amazon EC2 instances. This streamlines operational tasks and simplifies complex cloud operations, enabling IT teams to manage infrastructure through natural language interactions and reducing manual intervention. Recommended read:
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Ryan Daws@AI News
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ServiceNow has announced the release of its Yokohama platform, marking a significant advancement in the integration of AI agents within enterprise workflows. The platform introduces preconfigured AI agents designed to enhance productivity across various sectors, offering seamless integration and immediate benefits. New features facilitate the building, onboarding, and management of AI agents, aiming to broaden the adoption of AI-driven solutions throughout organizations. This release is part of ServiceNow's strategy to double down on AI investments, particularly in agentic AI capabilities, which are designed to automate tasks and improve workflows across CRM, HR, IT, and other departments.
The Yokohama platform features ServiceNow Studio, a centralized environment for no-code, low-code, and pro-code developers to create and manage agentic applications. This tool aims to streamline enterprise automation and reduce adoption barriers. New AI agents have been added, including a SecOps agent for security operations, autonomous change management agents, and a network test and repair agent. These agents aim to automate repetitive tasks, improve network performance, and free up human employees to focus on more strategic work. ServiceNow also acquired Moveworks to expand its AI capabilities into enterprise search, improving information access for employees. Recommended read:
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The Daily@The Daily Upside
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ServiceNow has announced its acquisition of Moveworks, an AI startup, for $2.85 billion in a cash-and-stock transaction expected to close in the latter half of 2025. This acquisition, the largest in ServiceNow's history, is aimed at boosting the company's agentic AI capabilities by integrating Moveworks' AI-driven platform into the ServiceNow Platform. The combination will create a unified, end-to-end search and self-service experience for employees across various workflows.
The move will see more than 500 Moveworks employees join ServiceNow, significantly expanding its AI team. Moveworks specializes in front-end agentic AI tools designed to enhance workplace efficiency through conversational AI assistants that automate employee support. ServiceNow plans to leverage Moveworks' technology to accelerate enterprise-wide AI adoption and innovation, with no layoffs anticipated as a result of the acquisition. Recommended read:
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