The world works with ServiceNow
We believe in the power of technology to make the world work better for everyone. At ServiceNow, we make the things you have to do easier, faster, and more intuitive, so you can focus on the work that matters.
We make workflows smarter
The ServiceNow Research team does both fundamental and applied research to futureproof AI-powered experiences for all users of the Now Platform®. We make workflows smarter, AI workloads more efficient, and are committed to making socially responsible contributions to the AI community. Our innovation is centered on people: helping customers modernize their technology architecture, innovating new business models, improving experiences at work, and driving higher ROI from their technology investments.
Latest Publications
Attention-based Neural Cellular Automata
. At Conference on Neural Information Processing Systems (NeurIPS), 2022.
Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
. At Conference on Neural Information Processing Systems (NeurIPS), 2022.
Leadership Team
The ServiceNow Research leadership team provides guidance and support for our research teams.
We believe AI should be built responsibly
AI should be trustable and governed without compromise to fairness, ethics, accountability, and transparency.
We futureproof AI for all users
In equal measure, we innovate, research, experiment, and de-risk AI technologies to create compelling user experiences of the future and enable the last mile of enterprise digital transformation.
Research Programs
ServiceNow Research Programs future-proof our AI in a rapidly advancing landscape.
Low Data Learning
AI Solutions typically require models to be trained on vast amounts of labeled data, which is expensive and time-consuming to get. To solve this problem, ServiceNow’s Low Data Learning research focuses on how to efficiently train AI methods using just a few labeled samples, and a wide range of downstream tasks such as language understanding, computer vision, robotic automation, and learning workflows.
Human Decision Support
Constant change is typical in everyday business. Many decisions are time-sensitive. Effective decision-making is what puts market leaders ahead. ServiceNow’s Human Decision Support research strives to push the boundaries of core AI capabilities, such as causality, forecasting, and planning, so ServiceNow users can make the right decisions at the right time.
Human-Machine Interaction Through Language
ServiceNow Research aims to advance AI technology that enables the next generation of Language User Interfaces with a focus on natural conversational human-computer interactions and AI-assisted programming.
Research Labs
ServiceNow Labs study a dimension of AI aligned with the future needs of ServiceNow’s commercial offerings.
Emerging Technologies Lab
AI has the potential to accelerate digital transformation across many industries, including financial services, telecoms, manufacturing, healthcare, and government. Our Emerging Technologies Lab aims to find, validate and drive the adoption of enterprise AI technologies that could improve the ways people work – moving research from lab to customer impact.
AI Trust and Governance Lab
The AI Trust and Governance Lab guides ServiceNow and its customers in their AI strategy and deployment via governance frameworks and applied research in trustworthiness.
We make the world work better for everyone, together
Research partnerships across industry and academia support the global development of knowledge in AI and ensure that our contributions to ServiceNow are rooted in the most innovative approaches applicable to Enterprise AI.
Dream big with a purpose
Join the world-class team that is building intelligent software and smart user experiences to create the future of work, using Machine Learning, Natural Language Processing, Artificial Intelligence, Robotics & more. We encourage diverse teams to explore big ideas and are humbled to be one of the 100 Best Companies to Work For®.
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Open Source
We are delighted to share our latest Open-Source projects, code, tools, and datasets.
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