Although, artificial intelligence being in trend and a niche has become ubiquitous and in one way or another has touched all domains that a human mind can think about. But there are sectors where AI can play a major role and that discovery is yet to be made. Especially talking about sectors where nature and technology meet, software development industries are still figuring how to transform them keeping in mind the impact on environment.
Below given are such five sectors:
1.AI and Renewable Energy: The buzz of how AI can disrupt our lives is around and there isn’t a single day we don’t talk about it. Researchers and companies are exploring ways to leverage artificial intelligence
and improve the efficiency and accessibility of renewable energy technology. AI in the current scenario is mainly focused on Energy Forecasting, Energy Efficiency and Energy Accessibility, in the renewable energy domain. AI can be a game changer in a lot of ways speaking theoretically. Data can be collected in massive amounts from energy grids using AI and then can be analyzed to give new insights for better control operations. Also advanced machines and sensors can do load and weather predictions that can improve efficiency and integration. AI can help understand energy consumption patterns, identify energy leakages and health of the devices. There could be timely decisions made on smarter energy allocations. AI can hence transform the renewable energy which in turn will fuel the growth of this sector.
2.AI in Biotechnology: The health sector is the largest and the most direct beneficiary of the discoveries made in the field of biotechnology.
AI and ML are already being used in diagnostics, de facto lab assistants and discovery of new drugs. AI can help discovering small molecules that can have therapeutic benefits knowing the target structures. Selective breeding of animals is one area where AI and ML models can provide valuable insights. In Industrial biotechnology or talking about biopolymers substitutes, AI can provide efficient production and better product quality. In Bioinformatics a certain amount of automation can help identifying the location of genes and hence in developing computer-aided design. AI can also be used to develop genetically modified crop yields. Hence, Biotechnology being a straightforward study, AI can be a great candidate.
3.AI in Forestry: Forest Management is a good example of how technology-first approaches can quickly deliver results. Despite, being rich in statistics about the value of natural resources, we are completely blind when it comes to the current state and the best way to protect them. This gap can be easily filled with AI-enabled solutions. AI can help in assessing forests using satellite imagery and provide detailed information giving insights into forest health and threats like deforestation, droughts, insect plagues, soil health, storm damage etc. AI can also solve the demand and supply problems of the forests. AI can
identify and track animals and species to fight extinction. Good thing is we have sensors, satellites etc. to collect data and also advanced systems to store it, only challenge is to incorporate AI to give a better analysis and live reports.
4.AI in Mining: AI is in mining is being applied to increase efficiency, effectiveness, environmental and safety concerns, and other aspects to make it a valuable enterprise. AI is being used to improve mineral exploration, improving quality and quantity of mineral recovery. Apart from this AI can help in identifying new and potential areas to mine or drill. It can let data of all kinds to be analyzed. Through the use of AI-powered autonomous systems, use of self-controlling machines can be enhanced in harsh environments and unapproachable areas, reducing human presence and ensuring safety. Cameras and sensors can perform regular inspections and detect issues like gas levels and structural instability. AI can also spot patterns like tremors, temperature changes that might be of concern. Hence, AI can transform this mining into a safer, more profitable and more environment friendly industry.
5.AI in Textile Industry: Textile industry has historically been a labor-intensive industry. AI in present is very nascent in this industry, but once it gains foot it will surely let textile manufacturers improve efficiency and augment capabilities of employees. AI in textile can be used intensively in defect identification, pattern inspection and color recognition. AI can grade yarn appearances using image recognition or inspect fabric defects using sensors. AI can be used to virtually model yarn from fiber properties, to predict tensile properties and yarn unevenness. On the production side AI might be used to automatically detect wrinkles on fabric. AI can in fact find patterns and correlations between fiber properties, process parameters, yarn properties, machine settings and fiber performance. Hence, AI might be capable of enhancing quality, production and lower costs.
As time advances, we will see numerous ways in which artificial intelligence will become a part of our day to day lives. But the key is a balance between nature and technology, as both are interdependent and need to grow to sustain the other.