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The practice of managing data for the next generation of analytics is rapid evolving. Advanced techniques of combining multiple data sources into a single data fabric, managing user privileges and communities, and data sharing throughout the cloud offer new capabilities and new risks in delivering data in the cloud.
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See All Related ContentExtending AI and Innovation with Google Data CloudAs companies ramp into the AI space, many are under the impression that they can simply apply AI to their existing data to supercharge its value. Sadly, this is not the case. Companies must overcome the barriers between data and AI before they can automate and enhance their data. Google Cloud is working to break down barriers between data and AI to unleash the value that businesses need to stay ahead of the competition.
In this article, you will learn about Google Data Cloud, which bills itself as a “unified, open, and intelligent data ecosystem” that caters to different use cases and personas within an organization. We will take an in-depth look at how Google Data Cloud caters to AI functionality and helps organizations become truly data driven. We will also examine this solution in an SAP context and highlight how it can become the backbone to a sound data strategy.
6 minute read
How SAP Datasphere Connects Business and ITSAP Datasphere (Previously SAP DWC) is a cloud-based data warehousing solution that connects business and IT by providing a unified data integration, modeling, and analytics platform. It allows business users to access and analyze data in real time while providing IT with the tools to manage and govern data.
1 minute read
SAP Data Warehouse Cloud and SAP Analytics Cloud: Better TogetherSAP Data Warehouse Cloud and SAP Analytics Cloud represent the future of SAP Analytics solutions. In this session, SAP Product Evangelist and Expert Ingo Hilgefort will discuss why and how you will want to run both solutions together. You will understand the value of a truly unified data and analytics offering for your organization. Key takeaways: Hear the latest and greatest news regarding the strategy and roadmap for both solutions Explore the functional scope, learn about prerequisites, and get to know useful tips and tricks See first hand the power that seamless integration can bring to your users
1 minute read
SAP Partners with Google Cloud to Bring AI to DatasphereSAP announced that it is partnering with Google Cloud to enhance its generative AI offerings, focusing initially on the automotive sector to advance sustainability performance. Leveraging the strength of SAP Datasphere and Google Cloud Vertex AI, the collaboration aims to facilitate the development and training of generative AI models using data from Catena-X, an open data ecosystem supported by SAP for the automotive industry.
This collaboration seeks to unify data foundations, integrating business data from SAP Datasphere with third-party Environmental, Social, and Governance (ESG) datasets and Google Cloud's generative AI models. This integration is expected to boost analytics capabilities, offering advanced AI tools and large language models to businesses. While this initiative primarily targets the automotive industry, broader collaborations are anticipated in the future.
For SAPinsiders, this development signifies a pivotal shift, as SAP Datasphere becomes a critical component in the evolving generative AI landscape, serving as the central system recording data from various SAP and non-SAP sources across enterprises. It is crucial for SAPinsiders to gear up technologically to fully exploit the potential of these new AI offerings. Future collaborations might extend to other data platforms including Microsoft Azure and AWS. To maximize the usefulness of AI solutions, organizations should evaluate their technological readiness and identify priority scenarios to streamline deployment and optimize benefits.
3 minute read




