May 4, 2026
•3 minute read
SAP Intelligent Technologies
The need to innovate leveraging digital technologies is an imperative that has been consistently highlighted by SAPinsiders. The good news is that SAP provides a portfolio of capabilities, embedded into SAP Business Technology Platform to help organizations develop intelligent technologies, leveraging artificial intelligence and machine learning. These portfolio of tools and technologies that are integrated and embedded in BTP can help organizations optimize their business processes, enable informed decision-making through data-driven insights, and promote the cherished innovation they desire. SAP Intelligent technologies is hence not one technology but a portfolio of tools that are enabled by SAP BTP platform. Examples of building capabilities leveraging intelligent technologies are:
Business Processes transformation:
Leveraging SAP AI Business Services, organizations can automate and optimize business processes. In this capability, you can use relevant machine learning models that are available, and which allow users to leverage machine learning services without any data science know-how, and extract and process structured and unstructured data.
The need to innovate leveraging digital technologies is an imperative that has been consistently highlighted by SAPinsiders. The good news is that SAP provides a portfolio of capabilities, embedded into SAP Business Technology Platform to help organizations develop intelligent technologies, leveraging artificial intelligence and machine learning. These portfolio of tools and technologies that are integrated and embedded in BTP can help organizations optimize their business processes, enable informed decision-making through data-driven insights, and promote the cherished innovation they desire. SAP Intelligent technologies is hence not one technology but a portfolio of tools that are enabled by SAP BTP platform. Examples of building capabilities leveraging intelligent technologies are:
Business Processes transformation:
Leveraging SAP AI Business Services, organizations can automate and optimize business processes. In this capability, you can use relevant machine learning models that are available, and which allow users to leverage machine learning services without any data science know-how, and extract and process structured and unstructured data.
Developing Intelligent Applications:
With AI Foundation, organizations can build intelligent applications using the SAP AI Core infrastructure and SAP AI Launchpad. These tools help them deliver data-driven innovation and intelligence across their enterprise.
Building Conversational Agents:
Learn how to build powerful conversational agents in a heartbeat with SAP Conversational AI services, which enable human-to-machine interactions using a human conversation. Explore how to train, build, connect, and monitor developed conversational scenarios that run embedded and extended with SAP solutions.
Designing and Orchestrating Robots with SAP Intelligent RPA: Design and orchestrate intelligence bots to automate your repetitive manual tasks with SAP Intelligent Robotic Process Automation (SAP Intelligent RPA) technology. With the power of citizen automation, this can be managed by all developer personas, including the citizen developer. Learn about the latest enhancements of SAP Intelligent RPA and how it is accelerated with low code and no code.
SAP Moves to Acquire Dremio and Prior Labs to Strengthen Data Foundation and Enterprise AI StrategySAP has announced plans to acquire Dremio, a data lakehouse platform, and Prior Labs, an AI research firm specializing in tabular foundation models. Together, the deals— both announced May 4 and pending regulatory approval — represent SAP's most direct move yet to control both the data infrastructure and model innovation layers required for scalable enterprise AI.
AI Is Moving Supply Chains from Reactive Execution to Autonomous OrchestrationAt SAPinsider Las Vegas 2026, Hernan De la Torre from KPMG US discussed how AI is transforming supply chain operations from reactive systems to Neural Supply Chain Orchestration (NSCO), emphasizing the need for coordinated, real-time decision-making across connected systems rather than isolated technology deployments.
Apr 13, 2026
•5 minute read
Microsoft Cuts Web Agent Latency, Human Escalations with Multi-Agent Copilot Studio ArchitectureMicrosoft revamped its 'Ask Microsoft' web agent using Copilot Studio's multi-agent orchestration, achieving a 61% reduction in latency, a 70% decrease in human escalations, and a tenfold increase in service sign-ups among engaged users.
Apr 1, 2026
•3 minute read
Techwave Outlines Practical Framework for Embedding AI into Core SAP Business ProcessesTechwave emphasizes that AI must be integrated into daily operations rather than treated as a standalone experiment, advocating for a comprehensive approach in its Techvision 2025 narrative that promotes operational readiness, disciplined delivery, and repeatable systems for successful enterprise transformation.
Mar 14, 2026
•3 minute read
Microsoft Startup Leaders Signal ROI Reckoning, Agent-Driven Operating Models for 2026As enterprises shift from AI experimentation to measurable adoption by 2026, with CFOs demanding immediate financial impacts and vendors consolidating, sectors like healthcare and retail are compelled to prioritize secure, interoperable AI solutions that integrate seamlessly and demonstrate clear ROI.
Mar 12, 2026
•3 minute read
SAP Expands SmartRecruiters Integration to Embed AI, Unified Data Across Hiring WorkflowsSAP is enhancing its integration between SmartRecruiters and SuccessFactors to create a unified, AI-driven hiring platform that connects recruiting workflows and organizational data, aiming for a seamless hiring experience while ensuring data consistency and facilitating skills-driven workforce planning.
Mar 4, 2026
•3 minute read
HARTING reduces design time from weeks to minutes with Siemens and Azure AIHARTING transformed its product configuration process by implementing an AI-driven assistant using Microsoft Azure OpenAI Service, reducing configuration time from 15-20 minutes to just one minute and enabling rapid custom prototypes, significantly enhancing efficiency and customer experience.
Feb 27, 2026
•3 minute read
Schneider Electric fast-tracks innovation with Azure OpenAI ServiceSchneider Electric is leveraging over three decades of AI expertise and its partnership with Microsoft to develop innovative, AI-enabled solutions for energy management and industrial automation, aiming to enhance sustainability and efficiency across various industries.
Feb 27, 2026
•6 minute read
Schaeffler unlocks factory insights with Microsoft Cloud for ManufacturingSchaeffler modernized its data management by implementing Microsoft Fabric and Azure AI to democratize access to near real-time insights, enhancing operational efficiency and empowering factory workers to improve productivity, quality, and uptime.
Feb 27, 2026
•3 minute read
Siemens connects frontline workers and engineers for real-time problem-solving using Azure AISiemens Digital Industries Software is developing an AI-powered app for Microsoft Teams to enhance real-time communication between field workers and engineering teams, enabling quicker problem reporting and resolution within their product lifecycle management solution, set to launch in December 2023.
Feb 27, 2026
•5 minute read
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