Robotic process automation (RPA) provider UiPath launched its full 2018 platform upgrade earlier this month. Called “Firefly,” the update includes enhanced security features, seeks to reduce automation maintenance needs, and offers advanced optical character recognition (OCR) and natural language processing (NPL) capabilities.
Overall, the New York-based company’s early-year rollout of the UiPath 2018 platform is intended to make the overall array of solutions better and easier to use for both enterprises and the more than 120,000 participants in the online developer community.
This number continues to grow, as the UiPath Academy, a self-training learning system for developers that was launched in April 2017 in a push to “democratize” the underlying RPA technology, has already certified more than 55,000 people.
“UiPath 2018 builds on our amazing momentum in 2017 and our phenomenal customer growth,” said Daniel Dines, CEO and co-founder of UiPath, which now boasts some 700 enterprise customers. “With this release, we have demonstrated tremendous scale operating over 10,000 robots successfully in a single environment.”
The upgrade also includes two new editions — UiPath Orchestrator Standard Edition and UiPath Orchestrator Enterprise Edition — that allows for ”editable, customized exception logs and machine learning for intelligent error handling, monitoring, and alerting” as well as Kibana and Tableau reports.
UiPath offered the following highlights of the new rollout in a statement:
- “Protecting sensitive data and robot activity. UiPath 2018 delivers enhanced asset and archive data security with support for Elasticsearch Security. It also provides an expanded integration with CyberArk for more robust compliance and non-repudiation assurance.”
- “Ensuring secure Enterprise RPA operations. UiPath 2018 source code is fully Veracode-verified and validated against potential penetration, intrusion or vulnerabilities throughout the UiPath platform and in third-party code. UiPath will unveil its UiPath RPA Security Framework methodology for suggesting best practices in securing IT robotic operations.”
- “Simplifying management of large-scale operations. UiPath 2018 introduces UiPath Orchestrator Enterprise Edition, with one-step robot licensing, provisioning, scheduling and intelligent monitoring and alerting. It also supports large-scale, multi-tenant operations for multinational businesses and service providers. Both UiPath Orchestrator Enterprise Edition and UiPath Orchestrator Standard Edition now offer enhanced out-of-the-box, easily customized Kibana and Tableau reports and streamlined human-to-robot work queue orchestration.”
- “Delivering Intelligent OCR and natural language processing (NLP). UiPath 2018 provides a pre-built, drag/drop capability to rapidly process data from semi-structured to structured states. It also features native NLP integration for capturing language intent and extraction of relevant text.”
- “Increasing efficiency in automations. UiPath 2018 comes with an out-of-the-box studio workflow template, based on best practices for process configuration, exception-handling, event logging and more. Users can apply this template with their own customizations to a particular process.”
- “Minimizing automation maintenance. UiPath 2018 sharply reduces automation maintenance by auto-validating screen object identification. Newly enhanced built-in logging enables rapid development of comprehensive dashboards for visualizing RPA allowing continuous improvement of operations.”
- “Accelerating innovation through RPA’s largest open ecosystem. UiPath continues to expand the ecosystem of companies integrating into the UiPath platform through its open APIs. New integrations include Oracle Process Cloud Services, Newgensoft, Enate and Microsoft Office 365 platforms.”
- “UiPath is also unveiling today packaged automation templates and activity frameworks. UiPath provides solutions that accelerate Enterprise RPA by more than 50 percent to address risk and fraud issues, and ensure compliance to regulations including the general data protection regulation (GDPR), know-your-customer (KYC) financial services requirements, and customer contact center automation.”
“We continue to emphasize security, control and governance throughout, and have introduced new frameworks and solutions to speed up automation,” said Dines. “We are working to help our customers become more sophisticated through the incorporation of industry-specific machine learning models and AI algorithms into their digital business operations.”
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