SAP-Prozessautomatisierung als Teil der digitalen Transformation

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SAP-Prozessautomatisierung als Teil der digitalen Transformation

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3rd-party API
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Digital Access
API
SAP ERP
SAP S/4HANA
WFM

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SAP-Prozessautomatisierung als Teil der digitalen Transformation

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Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy. Key takeaways: · How to build a data-driven culture within your organization · Tips to engage with key stakeholders in your business and examples from other businesses around the world · How to establish and maintain a business-first approach to data governance · A summary of the findings from a recent survey of global data executives by Drexel University's LeBow College of Business

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Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context. Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success. During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants. Key Topics: AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases. Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security. Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success. Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data. Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together. Less Bias. More Accurate. Relevant Outcomes.

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La fonction finance est au cœur du succès de l’entreprise, et doit aussi évoluer pour faire face aux enjeux d’aujourd’hui : aller plus vite, traiter plus d’informations et assurer une qualité des données sans faille. Nous vous proposons de découvrir ensemble comment répondre à ces défis, notamment les points suivants : Gérer les référentiels comptables et financiers, comptes comptables, clients, fournisseurs, centres de couts, centres de profits…Accélérer les clôtures et permettre de passer les écritures comptables nécessaires, de lancer les rapports adéquats et d’extraire les informations en temps réelOrganiser les taches en les affectant de manière ordonnancée à leurs responsables ou en les lançant automatiquement et les suivre de manière granulaire Notre webinaire sera l’occasion d’évoquer et d’illustrer cette palette de capacités disponibles pour des utilisateurs métier sans code ou avec peu de code et nous vous espérons nombreux.

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Unlock the Power of Mainframe Data for Democratized Cloud Analytics

Unlock the Power of Mainframe Data for Democratized Cloud Analytics

SAP-Prozessautomatisierung als Teil der digitalen Transformation

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