GoonUnlocking the Power of Data and AI in Enterprise Applications
Featuring Irfan Khan, President and Chief Product Officer of Data and Analytics at SAP, this article explores the potential of data and AI in enterprise applications, including supply chain, finance, HR, and procurement.
Introduction to Data and AI
Introduction to Irfan Khan, President and Chief Product Officer of Data and Analytics at SAP
Irfan Khan is responsible for data and analytics at SAP, which includes a broad range of portfolio assets such as DataSphere, SAP Analytics Cloud, and other products. The integration of data across various business functions contributes to end-to-end visibility and operational optimization in modern enterprise applications.
The Importance of Data Integration
The importance of data integration in achieving end-to-end visibility and operational optimization
However, many customers face huge levels of siloed data, which can lead to significant overhead in managing and reconciling data. To address this challenge, SAP has launched the Business Data Cloud, which enables customers to unify all their data, not just SAP data, and build a single harmonized data layer.
Unification of SAP and Third-Party Data
The unification of SAP and third-party data enhances decision-making processes
The unification of SAP and third-party data enhances decision-making processes by providing a single source of truth for all data. This enables customers to build pipelines, semantically onboard data, and have a single value of data across all use cases.
Leveraging Data to Address Global Compliance Challenges
Leveraging data to address global compliance challenges and accelerate problem-solving
Pre-built data models and industry-specific workflows in enterprise applications leverage data to address global compliance challenges and accelerate problem-solving. Historically, there has been a lot of oversight, resulting in operational overhead, but with the Business Data Cloud, customers can build a strong data strategy and promote data for forecasting and predictive purposes.
The Role of Semantic Rich Business Data in Fueling AI-Powered Insights
Semantic rich business data plays a crucial role in fueling AI-powered insights and actionable recommendations in enterprise applications. By applying raw data to a model, customers can create a higher value use case with less hallucination and more reliable decision-making.
The Concept of a Single Trusted Source of Data
The concept of a single trusted source of data in enterprise applications facilitates the deployment of AI across various business functions. Achieving this goal enables customers to narrow the scope of decision-making and rapidly use data for agents, analytics, or planning models.
The Trifactor of Data, Applications, and AI
The trifactor of data, applications, and AI is reshaping business models and competitive landscapes. Companies that harness the power of their underlying data using it in a strategic, mission-critical fashion will be successful in the next decade.
Conclusion
In conclusion, the integration of data and AI in enterprise applications has the potential to unlock significant value for customers. By leveraging the Business Data Cloud, customers can unify all their data, build a single harmonized data layer, and accelerate their journey to becoming an intelligent enterprise.
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