Googled Together: A Strategic Alliance
Aretec and Google Cloud are joining forces to bring customers the best of both worlds: advanced cloud solutions and data-driven insights. Our strategic alliance leverages the power of Generative AI and enterprise search to help customers operationalize data and achieve business goals. Find, analyze, and understand large volumes of structured and unstructured data for advanced decision-making with Aretec and Google. Being Googled-Together means we can deliver secure, scalable, and innovative cloud-based services that enable customers to harness the full potential of Generative AI and enterprise search for a variety of use cases, from end-to end proposal writing to detecting and preventing cyber threats.
Running on the Google Cloud Platform (GCP), Aretec has developed multiple solutions that enable organizations to ingest large amounts of data to create enterprise search with boundaries. Users can create data domains that allow them to search their proprietary data without fear of data exfiltration, yielding operational efficiency and better return on investments.
Use Cases: Unlocking Complex Data with the World Bank
The World Bank uses Google enterprise search capability to boost operational efficiencies for several use cases within its components. Aretec installed an enterprise search tool on top of the World Bank’s data warehouse and is developing workloads that address the operational needs of examiners and analysts, such as needing financial data to issue a loan to the World Food Program. Aretec partnered with Google to build a GenAI-powered semantic search engine targeted at these internal knowledge workers. The search engine retrieves documents across multiple data collections and file formats, augmented by a conversational interface, natural language summarization, and citation of sources.
Transforming Data into Insights with Google
Using diSearch’s powerful framework, we worked with Google to develop a document capture system that analyzes a diverse set of documents from a vast repository to identify errors and provide qualitative feedback on the developer experience. Through the project we were able to incorporate the analysis of multiple languages and significantly reduce common errors, while providing valuable insights that the Google team could use to inform decision making and benchmark against competitors.
