The Blue Prism and Amazon Web Services (AWS) partnership combines a reference architecture for AWS and the computing power of AWS cloud with Blue Prism Intelligent Automation for scalable deployment of AWS’ artificial intelligence (AI) and machine learning (ML) services.
Blue Prism’s reference architecture for AWS, plus our API integrations with Rekognition and Comprehend, help support enterprise investments in cloud, virtualization, analytics, and emerging AI platforms – in addition to the efficient automation of complex workloads.
Enterprises can easily add AWS AI and machine learning technologies to any Blue Prism process to expand horizons for autonomy, increase process scope and transaction speed, boost revenue, and decrease costs. Our API integrations with AWS services include:
Enterprises can also manage the integration of these services and the automation of Blue Prism’s Digital Workforce from a single platform that includes non-repudiation functions for all collected logfiles – giving organizations highly secure, centralized control of all RPA processes.
“Blue Prism’s API integrations take these technologies to the next level and open the door to a myriad of new and more sophisticated use cases for RPA.”David Moss CTO & Co-Founder, Blue Prism
Intelligent, adaptable: Blue Prism’s Digital Workforce offers a seamless bridge between Google Cloud Platform and any legacy application.
Intelligent Automation platform that grows smarter with every transaction and charts a path to digital transformation for any organization.
Instant connection to Google Intelligent Services and RESTful API integration makes adding machine learning and AI capabilities as easy as dragging and dropping services within Blue Prism into any enterprise business workflow.
Total policy compliance and non-repudiation with central management, plus CA Veracode Verified certification and support for PCI-DSS, HIPAA and SOX compliant processes.
Blue Prismとのアライアンスにより、Blue PrismプラットフォームとIBM WatsonのAIツールとの包括的な連携が実現し、IBM Cloud（MAGI-C）の認定アーキテクチャが提供されました。続きを読む