Hyperautomation: The Evolution of Enterprise Application Architectures

IoT and AI technologies for enabling cognitive and intelligent processes

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The challenge

AI-based technologies have reached a high level of reliability, enabling their use in the transformation and automation of industrial processes and customer interactions. In just a few months, we have transitioned from an experimental phase to widespread adoption, with remarkable pervasiveness and flexibility in use. The wide range of new services, coupled with the controlled management of their lifecycle and the technological diversity associated with the wide availability of solutions on the market, will soon pose a challenge to companies as they strive to ensure sustainability while gradually introducing these technologies into Enterprise Architectures. In our vision of Enterprise Architectures, traditional application processes for managing stakeholders, business processes, and physical assets are deeply automated through the introduction of new AI, robotic, and application automation technologies.

The solution

Transitioning toward Hyperautomation (Gartner) is the future objective in the evolution of Enterprise Architectures. The industrial-scale realization of IoT platforms and data lakes, coupled with the integration of Edge computing orchestration components and tools, have now made key business processes “sentient,” i.e., capable of being conditioned by external or intrinsic variables related to asset operational states, equipment, and facilities. The next step will be to make processes cognitive and intelligent, capable of understanding the context and interacting with it to maximize strategic and operational objectives. How do Enterprise Architectures need to evolve to reach these levels of advancement? What path do companies need to take to align with Hyperautomation? Communication channels based on perception and natural language, cloud-native and proprietary third-party AI and AIoT microservices, the automatic distribution and governance of microservices, inner process automation, robotic and application automation technology, and AL/MLOps environments for data manipulation, as well as testing and piloting microservices are just some of the new architectural elements that companies wishing to align with technological evolution will need to introduce and govern.

Within a matter of weeks, Sense Reply's RIPA (Reply IoT Platform Accelerator) enables the introduction of:

  • IoT components and IoT Data Lakes to activate connection with remote process and asset components;
  • Edge and Device Management components to automate service distribution on devices and automatically govern their lifecycle;
  • Components for building business sensing applications;
  • AI/ML Ops components for testing and activating new AI/ML services;
  • Application components for the complete governance and operation of drone and robot fleets.

Why choose Sense Reply

Having already partnered with some of the world's leading companies, Sense Reply can support players in the Oil & Gas, Energy & Utilities, Infrastructure, and Automotive sectors in envisioning their new Enterprise Architecture and embarking on a conscious transformation toward the future.

© May 2024


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