Muralidhar Goparaju, Chief Executive Officer, AmberFlux EdgeAI Private Limited
As we look to momentous changes unleashed by technological advances like 5G, AI, Deep Learning/Machine Learning, AI Accelerator Chips, etc., supported by social changes leading to 9-to-5 jobs taking newer meanings with WFH with higher autonomy for business users. DevOps provides an opportunity for enterprises leapfrog to Industry 4.0 by leveraging their internal data, social media data and finding effective ways to analyze, learn, and inferencing the data from the millions of edge devices to give business users the power to take autonomous decisions within real-time and meet the regulatory and risk management requirements.
Traditional App Dev models that needed elaborate software lifecycle and testing, and an extended roll-out plan, will pose severe challenges in Industry 4.0, and it requires real-time updates rolled out to all users. The traditional models that relied on IT development, Implementation and Processes are now blurred as business users rely more on AI to perform many of the tasks being performed by business process organizations.
To achieve Industry 4.0, enterprises need to critically relook at their internal processes and work towards leveraging AI for many of the tasks that are being done manually today, and then push the inferencing from these AI tools to the end business users. Enterprises would need to rapidly push these inferences from AI tools to the end-users and at the same time keep constantly updating their learning, analysis and inferences on real-time basis from the millions of data generators from devices, users, and social media to ensure that the users always have most current AI inference on their devices. All these updates, including Cloud based machine learning, analysis and AI inferencing and all the business users devices (like mobile, laptops, tablets, AR/VR, wearables, etc., ) need to happen in real-time.