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Featured Content
Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

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15 results
A Guidepost for Navigating the GenAI Landscape – Intel & OPEAAug 26, 2024  —  Organizations are increasingly turning to AI to meet the demands of a fast-paced, data-driven environment that requires speed, efficiency, and reliability. With AI, businesses aim to achieve real-time insights that enhance decision-making, customer experiences, data security, and remote monitoring. Open-source projects have significantly accelerated AI innovation, leading to the rapid development of generative AI (GenAI). […]
2 minute read
SAP Business Processes
Democratizing AI-Powered Automation with UiPathOct 3, 2023  —  In this fast-paced modern world, companies frequently rush to incorporate cutting-edge technologies into their workflows, battling the challenges of labor-intensive tasks, interfacing with older software, and overseeing manual operations. However, it's essential to understand that Generative AI represents only one component of a broader digital transformation. When combined with enterprise automation, businesses can truly harness the immense potential of Generative AI. UiPath specializes in automation, with a longstanding focus on Robotic Process Automation (RPA). Since the beginning, Artificial Intelligence has been an integral component of its offerings. The primary architecture of UiPath’s initial software suite is AI-driven, reflecting its sustained commitment to AI innovation. However, while AI is foundational to UiPath’s operations, the company specifically veered away from a generic AI model, focusing on purpose-driven AI tailored for optimal automation utility. The company is now also integrating Generative AI throughout the UiPath Platform, seamlessly blending it with the essential data, context, governance, and controls required for its effective and safe deployment in enterprise environments. The UiPath Platform combines the robust capabilities of Generative AI with specialized AI models powered by automation. The integration between Generative AI and specialized models, grounded in authentic business data, equips automation robots to comprehend, rationalize, and innovate.
9 minute read
Microsoft Makes Strong Play to Drive AI TransformationAug 3, 2023  —  Microsoft has been at the forefront of the AI revolution and is driving substantial AI transformations across multiple sectors. Recognizing the potential of AI to shape the future of computing, Microsoft intensified its focus on developing intelligent, responsible, and inclusive AI technologies that can augment human capabilities and productivity. Microsoft Cloud is powering AI transformation by integrating artificial intelligence capabilities into the Microsoft Cloud solutions that customers currently use, which enhance productivity, creativity, efficiency, and innovation. This integration embodies Microsoft’s vision of a co-pilot for every Microsoft Cloud experience while simplifying the process for organizations to construct their own co-pilot solutions utilizing the same stack and AI services that Microsoft has employed. Central to this conversation are two key points: the vital role of data as a catalyst for AI innovation, and the unique value of Microsoft's AI infrastructure. The copilots and the AI capabilities built into every Microsoft Cloud experience are powered by Azure AI, the AI platform that organizations can use to build their own copilots. Azure AI furnishes a range of ready-made models and cloud services that aid developers and data scientists in constructing and training models for various use cases.
6 minute read
SAP Invests in Leading Generative AI innovators – Aleph Alpha, Anthropic, and CohereJul 18, 2023  —  SAP has announced strategic investments in three leading generative AI innovators - Aleph Alpha GmbH, Anthropic PBC, and Cohere. SAP's AI approach includes a comprehensive strategy that involves significant direct investments, robust research and development for AI applications, and collaborations with prominent entities like Microsoft, Google Cloud, and IBM. SAP's reaffirmed commitment to an open ecosystem for AI is exemplified by this strategic move, which aims to incorporate the most advanced technology across the SAP portfolio while also expanding SAP's AI partnerships. The investments in Aleph Alpha GmbH, Anthropic PBC, and Cohere further demonstrate SAP's unwavering dedication to the responsible development of generative AI, specifically designed to enhance business performance.
3 minute read
SAP AI – “Built for Business”Jun 23, 2023  —  In the ever-evolving world of technology, artificial intelligence (AI) is taking center stage. The potential of generative AI and Large Language Models (LLMs) are fueling corporate dialogues and making headlines. However, as exciting as these cutting-edge technologies may be, translating these groundbreaking technologies into tangible business benefits poses a considerable challenge for organizations which are primarily due to the gaps in organizations in terms of harnessing these AI capabilities to their full potential. While the journey towards AI integration is unique for every customer, the industry is just beginning to scratch the surface of generative AI. This tech brief focuses on SAP's strong AI strategy that seeks to distinguish SAP in a market filled with general-purpose AI solutions by focusing on the specific needs of businesses and their processes, and stands on three key pillars: built-in, relevant, and responsible AI, with an overarching message that their AI is "built for business".
7 minute read