Find and compare the best Artificial Intelligence software for SAP Internet of Things in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for SAP Internet of Things on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Google Cloud Platform
Google
Free ($300 in free credits) 56,322 RatingsThe Google Cloud Platform (GCP) offers a comprehensive collection of Artificial Intelligence (AI) and machine learning resources aimed at simplifying data analysis processes. It features a range of pre-trained models and APIs, including Vision AI, Natural Language, and AutoML, enabling businesses to effortlessly integrate AI into their applications without needing extensive knowledge of the subject. New users are also granted $300 in complimentary credits to experiment with, test, and implement workloads, allowing them to investigate the platform's AI functionalities and develop sophisticated machine learning applications without any upfront investment. GCP’s AI offerings are designed to work harmoniously with other services, facilitating the creation of complete machine learning workflows from data management to model deployment. Moreover, these tools are built for scalability, empowering organizations to explore AI and expand their AI-driven solutions as their requirements evolve. With these capabilities, companies can swiftly adopt AI for a variety of applications, including predictive analysis and automation. -
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SAP Joule
SAP
Joule transforms the way you engage with your SAP business systems, ensuring that every interaction is meaningful and every task is streamlined. With a unified AI copilot, you can expedite processes while gaining in-depth insights and executing tasks seamlessly across your SAP ecosystem. Experience immediate insights that are informed by your business data and enhanced with relevant context. Joule stands out as the sole copilot that is inherently tied to your SAP business data. Improve your business outcomes through content generation that is customized for specific roles. For instance, managers can easily access insights regarding employee compensation, developers can craft app logic, data models, and testing scripts, while sourcing managers can effortlessly generate requests for proposals. You have the flexibility to decide when and how AI executes tasks, ensuring your business maintains full authority over decisions, data privacy, and security. By implementing UNESCO’s widely acknowledged ethical AI principles, Joule enhances your AI governance, allowing you to avoid unnecessary costs and data duplication associated with other copilots. This innovative approach not only optimizes operational efficiency but also fosters a more responsible and transparent business environment. -
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NVIDIA DRIVE
NVIDIA
Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.
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