How AI would contribute to the manufacturing industry.
Himtex organised a panel discussion held by the moderator Smt. Rama Devi Lanka, the Director of Emerging Technologies, Information Technology, Electronics & Communications Department, Government of Telanagana, hosted 4 panelists- Mr. Nitin Kumar, Mr. Phani Karnati, Dr. Akansha Kumar and Mr. George Abraham. The agenda for the discussion was ‘How Artificial Intelligence would contribute to manufacturing industry’.
Smt. Rama Devi holds a foresight vision of India turning into a technological powerhouse in the upcoming centenary years of celebrating independence. India is going to embrace ever sector and industry. The panel discussion looks forward to 5 key areas: Agriculture, Healthcare, Education, Mobility, Environment. As a proactive government, Telangana is ready with its own AI framework for identifying cases to deliver social goals. AI has functions in agriculture, quality assurance, conservation of endangered species to monitor and protect them. Next leap is digitalization of elections and voting, when everyone does not have time or do not will to go out, stand in long queues and vote now public can login web user in blockchain 2 technologies via such developed app in smartphones. Pharma sector as well as Information technology also utilise AI, while the government is very critically using it in the manufacturing sector.
The discussion answered to questions of when there is a market opportunity what does the manufacturing industry needs to know? The top reasons can be personalisation of customers, specific solutions, complexity of manufacturing processes and their need to be active, performance and productivity, where the manufacturing industry should look at AI applications. AI is eligible to use cases across value chains from conceptualization, design to development and maintenance, increasing productivity efficiency with safety predictive analytics. Demystification of AI and the way it’s actually going to contribute to the manufacturing industry challenges and the strategies to be adopted, is the focus around the talk by the panellists divided in 3 areas- optimised process and control, how can AI augment these processes and manufacturers and utlitites’ contribution to unlock the potential of paying.
The panellists on their take on optimisation shared that data can guide your decision making and you end objective can be motivated towards safety or profitability or maintainability. It is the optimised combination of system in the industry that leads to profitability. Legacy systems like applications, computers equation solvers are already present to provide with the required optimistic control. To understand optimization in the industry it stands to be a wide scope automation rather than a deep scope optimization meaning working within the boundaries not revealing the constraints. Flexible control optimization simulation facilitates to not only challenge the wild optimization but to go to deep automation industry level resulting in much more value out of the system. Optimisation is a process that needs detailed focus and development, supervision over causal factors in the industry giving out right alerts require AI, digital services or manufacturing organisations need to focus at this point from the process and control perspective. AI offers reasonable predictive maintenance of the industry equipments’ which unravels the opportunities in terms of finding the right control parameters and maintenance schedule thus increasing the life of heavy equipments and getting an estimate of failure mark can optimise the service personal in the long run. AI now, after depth analysis of predictions, has also gone ahead to find out the root causes. Keeping the data in cloud will help more companies in the upcoming future.
AI has contributed specifically in the supply chain, to enhance forecasting better or improve free management or increase warehouse efficiency. McKinsey report says that 61% of executives who implemented AI in supply chain claimed decrease in the cost of the company as well as increase in revenues. It is potential in recognition the right kind of sources and inventory and predict the forecast and affect to minimise the wastage. The various aspects of AI can be seen across retail, manufacture, oil and gas, crude price, the world has seen a lot of examples.
AI will help in developing knowledge among backward classes and can help within the government as well. AI’s principle of certainty holds an important aspect, ability of uncertainty quantification can bring in much more ability to supply chain. India still lacks any advance solutions which can help optimising the process and ensure the quality assurance and maintenance. India needs to embrace technology, AI requires to have a leadership support with the right team in place and be able to identify problems then recognising solutions.
