Evoluteiq

What is Evouteiq

By combining process automation and sophisticated data processing in a resilient low-code, no-code development environment, the platform enables enterprises to build end-to-end digital native solutions. It discovers existing digital hooks that can benefit from hyper-automation through cognitive automation and process modernization. EvoluteIQ arose from a worldwide technological conglomerate that has been around since 2007. The core platform has been developed over time with the goal of making application development easier and accelerating integrated automation. As businesses implement packaged automation technologies such as RPA, AI/ML, NLP, and Intelligent Document Processing, the requirement for a smooth customer journey becomes increasingly important in order to allow end-to-end automation adoption and scalability. The platform enables organizations to construct end-to-end digital native solutions by integrating process automation and advanced data processing in a robust low-code, no-code development environment. It identifies digital hooks that can benefit from hyper-automation via cognitive automation and process modernization. Thee.IQ platform, which can install on-premises or in the cloud, integrates and homogenizes different automation technologies to speed hyper-automation. The platform then allows citizens to utilize a low-code, no-code interface to create safe, scalable apps or end-to-end user experiences. Solution Banking: Intellectual credit risk assessment assists in the acquisition of new consumers while reducing operational costs and financial risk tolerances. Insurance: Customers may report and follow claims utilizing frictionless omnichannel interfaces thanks to the intelligent first notice of loss. Telecom and Media: By implementing predictive maintenance models, it can reduce operating costs and increase network stability. Healthcare: It improves critical care by intelligently automating current operations while controlling costs for specialized treatment. The most prevalent AmperAXP industries include Banking, Insurance, Telecom and Media, Healthcare, Retail and CPG, Energy and Utilities, Operational Resilience, Customer Experience, Finance and Accounting, Legal and Risk Management, Supply Chain Management, Sales and Marketing, etc. EvoluteIQ's major focus is on enabling organizations to accelerate hyper-automation with e. IQ-powered hyper applications that use current company technology. Since its inception, they've been tireless in their pursuit of helping businesses create homogenous automation environments that can leverage by non-technical employees to create automated customer journeys and apps. Its mission is to be the go-to enablement platform for all hyper-automation programs to do it with the ease of e.IQ technology.

What EvoluteIQ can Offer

• For ongoing process improvement, use an Intelligent Business Process Management Suite (iBPMS) to create sophisticated process applications. • With simple drag-and-drop capabilities, define and construct data flows. Utilize customizable nodes to manage data-at-rest and use it like microservices. • Complex Events Processing (CEP) allows users to process and evaluate events in real-time to forecast real-time dangers and opportunities. • Using dynamic ML models with continuous learning capabilities, forecast future behavior, assess patterns, and predict outcomes. • With easy-to-use libraries, connect diverse business-critical systems and services at rapid speeds. • With sophisticated analytics and graphically appealing reports, users may gain actionable insights into the business. • Using fresh or pre-built templates, create aesthetically appealing and dynamic online forms for processes. • Converge business portal includes drag-and-drop nodes for speedier deployment.

Why EvoluteIQ

• A built-in rule engine can use to create rules.
• Maintain smart forms with a user-friendly interface.
• APIs can use to connect to third-party programs and human activities.
• It is possible to connect and process data from any source.
• Users may simply construct flows using the visual modeling canvas.
• Integrate machine learning into the data flow
• Large data quantities can be handled using very scalable algorithms.
• To make third-party integrations simple, use APIs.
• Allow customers to choose the most appropriate machine learning model.

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