Intelligent automation (IA) is the driver of the new frontier of transformation for the digital-savvy enterprise. It enables intelligent business process automation and management, as compared to the previous IT process automation, which offered value generation from standalone processes alone, instead of improved process efficiency and quality across the enterprise, as promised by IA.
Intelligent automation draws from the outputs of the following:
- Business process management systems cater to the functional layers in an organization and make the collaboration between people, system, and data efficiency via automation of complex processes to minimize human intervention. An example of this is digital health solution platforms, which offer seamless end-to-end patient management capabilities.
- Robotic Process Automation automates repetitive tasks, reducing human intervention in computer applications. This is the current frontrunner of automation implementation in the industry, through its ease of implementation and availability of established tools. Examples of Robotic Process Automation are platforms which ensure automated pharmacovigilance compliance by tracking, adverse event reporting, and safety signaling.
- Artificial Intelligence and Machine Learning try to ‘emulate human intelligence in machines, thereby teaching them to learn and improve, delivering continuous improvement’. Tools which enable study of molecules’ ADMET (Absorption, Distribution, Metabolism, and Excretion) properties for drug research via imaging and simulation analysis are a prime example of Artificial Intelligence- and Machine Learning-powered value.
- Integrated ecosystems aim to achieve seamless connectivity of the day-to-day systems across platforms and devices to improve user experience. Integrated business ecosystems are realized by the collaborative functioning of other business systems and spans other enablers of Intelligent Automation as well. The most noteworthy example of this would be faster, Intelligent Clinical Trials, which reduce the drugs’ time to market by leveraging technologies like the Internet of Things, robotic business management, and integrated data management
The collaborative value generated from all these systems together delivers Intelligent Automation as a way of functioning and promises a firm truly capable of next-gen efficiency and value delivery.
Potential of Intelligent Automation for Life Sciences
There are a few intelligent business process management use cases listed below which are holistic representations of the redefined process execution and value delivery that Intelligent Automation offers via cloud automation and other specific aspects of transformation:
This use case represents all the avenues through which an end-to-end intelligent contact center would deliver value to the stakeholders involved by enhancing patient interactions via personalized conversations, persona-based surveys, and conversational marketing. Such a contact center can also bolster the service provider’s capabilities through user interaction pattern mapping, knowledge management, autonomous goal tracking, AI-powered sentiment analysis, and E2E journey analytics.
An intelligent contact center would change the traditional contact center experience to one that is entirely agile. This will be based on customer interaction insights and the effective value delivered to each customer, while ensuring operational excellence at optimized revenue.
Robotic Real-Time Shop Floor Incident Management
- Incident Management and Self-Help
This use case includes the use of shop floor robots capable of autonomous real-time incident management.
Figure 3: Robotics Real-Time Shop Floor Biohazard Monitoring
- Biohazard Monitoring
This use case incorporates the use of shop floor robots capable of patrolling at regular intervals, monitoring incendiary and toxic materials, and updating the plant command center in real time, even in the case of any adverse events.
- A Cognitive Patient Data Platform Powered by Artificial Intelligence and Machine Learning
This use case offers a data-driven approach to segment and identify high risk patient groups to deliver customized services.
- Intelligent Cellular Imaging and Analysis
This use case streamlines drug discovery by allowing visualization of target cells right down to their texture and size.
- Employing Automated AI Sales Assistants
This use case can help qualify leads and augment the sales force– a one-stop platform for the users to discover insights, predict outcomes, recommend actions for every lead, and automate routine tasks.
These use cases are just a minor portion of HCL’s vision to transform businesses via Intelligent Automation. HCL’s vision focuses on more than automating processes, to help organizations transform at scale through cloud automation at scale and powering customer experience at scale. HCL has also enabled autonomics, data modeling, and analytics powered by Artificial Intelligence and Machine Learning, as well as E2E monitoring center capabilities for automated operations to effectively measure the performance, visualize the processes, and estimate the ROI.
Another area of automation transformation experience is with intelligent bots and virtual personal assistants across a variety of scenarios in life sciences. Owing to our experience in implementing automation across a multitude of industries, identifying more areas for value delivery is a continuous part of our service delivery. Our automation delivery and implementation services are further bolstered by our E2E advisory services and a robust suite of accelerators and automation tooling frameworks.
HCL understands the opportunities offered by the next frontier of technology that life sciences enterprises are fast adopting– Digital. And the pinnacle of such digital capabilities is Intelligent Automation. This requires us to look beyond implementing IT processes and at digitally transforming entire business processes. That is what HCL offers– Intelligent business transformation services that will reinvent business processes and redefine value for life sciences enterprises through future-ready digital capabilities like Intelligent Automation.