fieldengineer
Organizations with a clear view of their future industry needs are encouraged to act quickly on edge computing. Telecom players are proactively collaborating with cloud computing services by leveraging advanced cloud platforms, rapidly digitized networks, new chip architectures and the growing demand for low latency to optimize investments and minimize the cost to customers. Automation is leading the charge in organizational digital transformation in the 21st century. From autonomous vehicles to artificial intelligence business platforms, organizations are increasingly turning to the power of automation to enhance their business efficiency and productivity. Businesses at any stage of their automation journey need to remain constantly vigilant of the technology landscape and promptly act to access new opportunities. In order to do so effectively, they need a transparent view of their own position on this path and assess the level of their automation maturity. HCL’s Automation Maturity Assessment Model allows leaders to take a layered approach to self-assessment and ascertaining the level of future automation capabilities. This can help create the fundamental groundwork for their advanced automation strategy and help them evolve from robotic process automation to AI/ML in a stable and secure manner. Early stage automation tools like robotic process automation are the first in this wave as they provide immediate business benefits without disrupting core operations. In fact, automation offers organizations the key to optimizing their workforce and organizing their talent away from tedious tasks and towards more strategic roles. With robotic process automation (RPA), employees engage in value-added interactions with co-workers and complete tasks that need more mental acumen better. It strikes a fine balance between human personnel and automation by helping make routine tasks easier. However, RPA is merely the beginning of any organization’s automation journey.