Next, we will show you how this works in different platforms:<\/strong><\/p>\n\n\n\n Generative AI with SAP<\/strong><\/p>\n\n\n\n Generative AI is a type of artificial intelligence that creates text, images, and other content based on what it learns from data. At SAP, they use this tech alongside industry-specific data and deep process knowledge to add cool new AI features to our everyday apps. From helping write job descriptions and interview questions with SAP SuccessFactors Recruiting to making tasks easier with Joule, their AI buddy, they’re all about making things simpler and more productive. And with upcoming stuff like faster freight checks in SAP Transportation Management and automatic process models in SAP Signavio Process Transformation Suite, they’re always pushing the AI envelope. Plus, they’re big on trust and responsibility, making sure your AI tools are transparent, safe, and respectful of your data and privacy. So, you can tackle those tough business problems with confidence!<\/p>\n\n\n\n https:\/\/www.sap.com\/products\/artificial-intelligence\/generative-ai.html<\/a><\/p>\n\n\n\n Generative AI with AWS<\/strong><\/p>\n\n\n\n Amazon Bedrock is a fully managed service, presents a selection of cutting-edge foundation models (FMs) sourced from leading AI providers such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a unified API, complemented by an extensive range of functionalities essential for constructing generative AI applications with emphasis on security, privacy, and ethical AI. Utilizing Amazon Bedrock facilitates effortless experimentation and assessment of premier FMs tailored to your<\/p>\n\n\n\n specific requirements, enabling confidential customization with proprietary data employing techniques such as fine-tuning and Retrieval Augmented Generation (RAG), while also enabling the creation of agents capable of executing tasks seamlessly within your enterprise ecosystem and data sources. Benefiting from its serverless nature, Amazon Bedrock eliminates the need for infrastructure management, ensuring hassle-free integration and deployment of generative AI capabilities into your applications leveraging familiar AWS services.<\/p>\n\n\n\n Amazon Bedrock can be instrumental in data analytics by enabling the development and deployment of advanced generative AI models tailored for specific analytical tasks. <\/p>\n\n\n\n https:\/\/aws.amazon.com\/bedrock\/<\/a><\/p>\n\n\n\n <\/p>\n\n\n\n Generative AI with Azure OpenAI<\/strong><\/p>\n\n\n\n In Azure analytical tools and Azure Machine Learning, Generative AI works by leveraging advanced algorithms and models to generate new data or content based on patterns learned from existing datasets. Within Azure Machine Learning, generative AI models can be trained and deployed to perform tasks such as image synthesis, text generation, or even creating new features for predictive modeling. In Azure analytical tools like Azure Synapse Analytics or Azure Data Factory, generative AI can be integrated into data pipelines to augment data processing tasks or generate synthetic data for testing and training purposes. Additionally, Azure Cognitive Services offers pre-trained models for text generation, image synthesis, and other generative tasks that can be easily integrated into Azure-based applications. Overall, Azure provides a comprehensive ecosystem for leveraging generative AI across various analytical and machine learning workflows, enabling organizations to unlock new insights and capabilities from their data.<\/p>\n\n\n\n
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