How AI and Google Cloud of App Orchid is changing the business data business game
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App orchidArtificial Intelligence Company specializing in Enterprise Data Analytics has announced an advanced collaboration today with Google Cloud This aims to help businesses more easily to extract insights from their corporate data using natural language requests powered by Google’s Twins of modelsS
Partner Centers for Integration of App Orchid Technology with Google Cloud’s Cortex framethat helps organizations manage data from systems such as Sap and SalesforceS The combination allows business users to ask questions about their information in ordinary English and receive Generated Ainetics and insights.
“For too long, organizations have been struggling to get answers to the critical questions of the business in time,” says Wes Caps, CEO at App Orchid, in an exclusive interview with Venturebeat. “With App Orchid and Google Cloud Cortex Framework, customers can receive immediate, timely and accurate insights.”
Knowledge graphics and natural language: a new corporate data approach
The company’s approach is different from competitors by using what it calls “Ontology -oriented frame“This creates graphics of the knowledge of corporate data. This allows AI models to better understand complex business information and relationships.
“It is really difficult to learn a language model of how to understand the database data, as it is difficult to understand the data of the database as a person,” explained Rehan Refai, Vice President of App Orchid solutions, in an interview with Venturebeat. “What we have developed is a method where you can access bark data using our product called Easy Answers.”
According to Refai, the SQL accuracy percentage of 99.8% greatly superior to competitors who achieve about 90% accuracy. The system also provides detailed explanations for how it comes to answers – a critical characteristic of businesses concerned about AI hallucinations.
Break up data silos with AI Power Analysis
The partnership is a strategic expansion of the App Orchid, which historically focuses on specific industrial verticals such as production and logistics. “This is our first endeavor in a proposal that is more alorizontal,” Kapso noted.
Cooperation is coming as businesses are increasingly looking to democratize access to their data while maintaining accuracy and trust. App Orchid claims that its technology can reduce data preparation by up to 85% compared to traditional methods.
AI Agents and Estimated Analyzes: What Next For Enterprise Data
Looking forward, App Orchid is developing new opportunities, including probable ontologies that can predict the likely results, and integration with AI Agent’s emerging architectures. “The agents are the next big thing with LLM,” Refai said. “We are one of the best choices when it comes to if you want to have an agent who is a LLM player who wants to understand structured data.”
Thehe Easy answers The app is now available to Google Cloud Platform MarketplaceS Although the financial conditions of the partnership are not disclosed, this is a significant validation of the App Orchid approach to turn data from corporate more accessible through AI.
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