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They offer machine learning, IoT, and advanced analytics technologies to turn businesses into intelligent enterprises. With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improve people's lives. Their end-to-end suite of applications and services enables profitable operation, continuous adaptation, and making a difference. SAP and its products and services are trademarks or registered trademarks of SAP SE.

With the integration between SAP Datasphere and Google Cloud BigQuery, customers can access their critical data in real-time without duplication. The joint offering also allows for unifying data from SAP software systems, providing a comprehensive view of important data on Google's data cloud.

SAP and Google Cloud co-engineered replication and federation technologies to simplify data landscapes. With federated queries across SAP Datasphere and BigQuery, customers can blend data from different sources, eliminating common data silos.

Businesses can use Google Cloud's AI and ML services to train models on data from both SAP and non-SAP systems. The analytics capabilities of the SAP Analytics Cloud solution can be utilized in Google Cloud to analyze financial and business outcomes with a simple integration to data in BigQuery with SAP Datasphere.

SAP and Google Cloud are exploring ways to combine SAP Datasphere with broader ESG data sets and insights powered by Google Cloud for sustainability journeys. SAP will expand regional support for SAP Business Technology Platform (SAP BTP) and SAP HANA Cloud on Google Cloud, including support for SAP Analytics Cloud and SAP Datasphere.

The companies also plan to partner on joint go-to-market initiatives and visitors to the SAP Sapphire® conference can see demos at Google Cloud's booth. Google Cloud is trusted by customers in more than 200 countries to enable growth and solve their most critical business problems with enterprise-grade solutions leveraging cutting-edge technology.

Google Cloud has an ongoing partnership with SAP to provide SAP-certified infrastructure for all of your SAP systems. You can even choose Google Cloud to power SAP cloud offerings, like SAP S/4HANA Cloud, SAP Ariba, SAP HANA Enterprise Cloud, and the SAP Cloud Platform itself.

Google Cloud offers a wide range of AI and ML models that can be used for SAP data. Here are some key highlights:

1. AutoML: Google Cloud's AutoML platform allows users to easily build custom machine learning models without requiring extensive expertise in machine learning. It enables users to create models specifically tailored to analyze SAP data.

2. Cloud Natural Language: This model helps you understand the sentiment, entities, and overall structure within text data. It can be used to analyze text-based SAP data such as customer reviews, support tickets, or social media interactions.

3. Cloud Vision API: This model provides powerful image recognition capabilities. It can be used to extract information from images in SAP data, such as product images or scanned dоcuments.

4. Cloud Translation API: This model offers language translation services, allowing you to translate SAP data into different languages. It can be useful when dealing with multilingual data or when working with international customers.

5. Cloud Speech-to-Text: This model converts spoken language into written text. It can be used to transcribe audio recordings in SAP data, such as customer service calls or meetings, making it easier to analyze and extract insights from voice-based data.

6. BigQuery ML: Google Cloud's BigQuery ML is a machine learning platform integrated with BigQuery, their data warehouse solution. It allows you to build and deploy machine learning models directly on SAP data stored in BigQuery.

7. Cloud Video Intelligence API: This model enables you to extract metadata from video content in SAP data, such as detecting objects, scenes, and activities in videos.

8. Dialogflow: Formerly known as API.ai, Dialogflow is a conversational AI platform that helps build interactive chatbots and voice-based applications. It can be used to create intelligent virtual assistants to handle customer queries or support requests in SAP data scenarios.

9. Cloud Speech-to-Text for Contact Center AI: This model is specifically designed for contact center operations. It offers real-time transcription and analytics capabilities for customer interactions, allowing businesses to gain insights from customer calls and improve their services.

10. Cloud AutoML Tables: This model allows you to build and deploy custom machine learning models on structured tabular data in SAP data sources. It is particularly useful when working with large datasets and making predictions or classifications based on structured information.

11. Cloud Text-to-Speech: This model converts written text into natural-sounding speech. It can be used to generate audio content from text-based SAP data, such as creating voice prompts for interactive voice response (IVR) systems or generating audio reports.

These models provide businesses with a rich set of AI and ML capabilities to analyze, understand, and derive insights from SAP data across different modalities like text, images, video, and speech. They offer flexibility and scalability to address various use cases in SAP data analysis and automation.

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