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IBM Cloud Pak for Data Case Studies

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  • Wunderman Thompson - Customer Case Study

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    4.7 / 5.0
    Customer References206 total
    About

    AuraQuantic is a no-code digital platform designed for business users to easily and rapidly build unlimited processes and applications to automate end-to-end operations, reducing costs and optimizing productivity. It combines the sophistication of iBPMS (Intelligent Business Process Management Suite) for process automation with integration, innovation and intuitive design environments for you to easily optimize and transform business operations. Turn your ideas into applications with our easy-to-use Digital Platform and accelerate your digital transformation.

  • Reference Rating
    4.7 / 5.0
    Customer References191 total
    About

    Camunda enables organizations to orchestrate and automate processes across people, systems, and devices to continuously overcome complexity, increase efficiency, and fully operationalize AI. Built for business and IT users, Camunda’s leading orchestration and automation platform executes any process at the required speed and scale to remain competitive without compromising security and governance. Over 700 companies across all industries, including Atlassian, ING, and Vodafone trust Camunda with the design, orchestration, automation, and improvement of their business-critical processes to accelerate digital transformation. To learn more visit camunda.com.

  • Reference Rating
    4.7 / 5.0
    Customer References10 total
    About

    Cortical.io provides natural language understanding (NLU) solutions that enable large enterprises to automate the extraction, monitoring, and analysis of key information from any kind of text data. By understanding the meaning of text, Cortical.io Retina software reduces the time and effort it takes to complete business-critical data search and review processes. Many repetitive and error-prone manual steps are eliminated, freeing up valuable resources to focus on higher-value tasks. Cortical.io solutions can be quickly trained without supervision in the specialized vocabulary of any business domain and in multiple languages. Their enterprise-grade technology is implemented at multiple Fortune 100 businesses, covering a wide spectrum of use cases. Their unique approach is inspired by the latest findings on the way the brain processes information. It helps businesses solve many open NLU challenges like meaning-based filtering of terabytes of unstructured text data, real-time topic detection in social media, or semantic search over millions of documents across languages. Their work has been featured in The Economist, Harvard Business Review, Bloomberg, and Gartner.

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