Artificial Intelligence (AI) is redefining industries by offering personalization, automating processes, and disrupting how we work. In modern times, AI is embraced by every industry from healthcare to government. Here are the 10 industries where AI has caused a disruption.
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1. Agriculture
The most popular applications of AI in agriculture range from robotics to crop and soil monitoring to predictive analytics. Agriculture majors are developing autonomous robots programmed to handle routine agricultural tasks such as crop harvesting at a higher volume human labourers. AI is deployed in crop and soil monitoring deploying computer vision and deep learning algorithms to process data captured by drones and/or software-based technology to monitor crop and soil health. Predictive Analytics-driven by machine learning models are being developed to track and predict the impact on crop yield faced by erratic weather changes.
2. Call Centres
Call centers are witnessing a revolutionary change in the industry with the development of bots and automated messaging, which is often thought to be one of the industries which are at most risk of becoming obsolete in a world of AI. Call centers are an important link between businesses and customers for customer service and product offerings. AI software has been developed to listen to calls and analyze their impact on customer’s buying behavior and shopping experience. Automated calls driven by bots and chatbots may lead to an increase in customer’s loyalty in the future and they may even be programmed to smooth the situation if the customer gets upset.
3. Energy & Mining
AI can be deployed into smart electric grids to make them more efficient in delivering energy, and to predict when batteries and other equipment will fail. AI implementation will make the energy exploration an easier and more economical task. AI and its subsets, machine learning, are trends which will disrupt the energy industry, leaving massive opportunities for savings. Business majors like the General Electric is looking ahead to use AI to optimize how electricity flows out of batteries and points of consumption. According to Bloomberg News reports, AI tech into energy and mining could eventually save $200 billion globally.
4. Healthcare
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Healthcare is a sector where AI has endless possibilities, from user-friendly bots and chatbots assisting patients in their health diagnosis to robots performing operations with precision. AI is currently used in the healthcare industry to identify high-risk patient groups, predict diseases, increase speed and accuracy of treatment and to automate diagnostic tests. AI has huge potential to improve drug formulations, predictive care, and DNA analysis that has the power to positively impact the quality of healthcare and affect human lives.
5. Intellectual Property
In the global innovation economy driven by AI and allied technologies, demand for intellectual property (IP) titles, patents, trademarks, industrial designs; copyright is rapidly increasing and becoming more complex. AI, big data analytics and new technologies such as blockchain have huge potential to address the growing challenges facing IP offices. Copyright is an important IP asset for AI; AI protects the technology product (code and data) from unauthorized use and reproduction through digital locks. An IP strategy for AI systems will layer IP rights to protect different aspects of information and business enterprises can clearly define and protect their IP with registrations and digital documentation.
read more – copyright by www.analyticsinsight.net
Artificial Intelligence (AI) is redefining industries by offering personalization, automating processes, and disrupting how we work. In modern times, AI is embraced by every industry from healthcare to government. Here are the 10 industries where AI has caused a disruption.
copyright by www.analyticsinsight.net
The most popular applications of AI in agriculture range from robotics to crop and soil monitoring to predictive analytics. Agriculture majors are developing autonomous robots programmed to handle routine agricultural tasks such as crop harvesting at a higher volume human labourers. AI is deployed in crop and soil monitoring deploying computer vision and deep learning algorithms to process data captured by drones and/or software-based technology to monitor crop and soil health. Predictive Analytics-driven by machine learning models are being developed to track and predict the impact on crop yield faced by erratic weather changes.
2. Call Centres
Call centers are witnessing a revolutionary change in the industry with the development of bots and automated messaging, which is often thought to be one of the industries which are at most risk of becoming obsolete in a world of AI. Call centers are an important link between businesses and customers for customer service and product offerings. AI software has been developed to listen to calls and analyze their impact on customer’s buying behavior and shopping experience. Automated calls driven by bots and chatbots may lead to an increase in customer’s loyalty in the future and they may even be programmed to smooth the situation if the customer gets upset.
3. Energy & Mining
AI can be deployed into smart electric grids to make them more efficient in delivering energy, and to predict when batteries and other equipment will fail. AI implementation will make the energy exploration an easier and more economical task. AI and its subsets, machine learning, are trends which will disrupt the energy industry, leaving massive opportunities for savings. Business majors like the General Electric is looking ahead to use AI to optimize how electricity flows out of batteries and points of consumption. According to Bloomberg News reports, AI tech into energy and mining could eventually save $200 billion globally.
4. Healthcare
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
Healthcare is a sector where AI has endless possibilities, from user-friendly bots and chatbots assisting patients in their health diagnosis to robots performing operations with precision. AI is currently used in the healthcare industry to identify high-risk patient groups, predict diseases, increase speed and accuracy of treatment and to automate diagnostic tests. AI has huge potential to improve drug formulations, predictive care, and DNA analysis that has the power to positively impact the quality of healthcare and affect human lives.
5. Intellectual Property
In the global innovation economy driven by AI and allied technologies, demand for intellectual property (IP) titles, patents, trademarks, industrial designs; copyright is rapidly increasing and becoming more complex. AI, big data analytics and new technologies such as blockchain have huge potential to address the growing challenges facing IP offices. Copyright is an important IP asset for AI; AI protects the technology product (code and data) from unauthorized use and reproduction through digital locks. An IP strategy for AI systems will layer IP rights to protect different aspects of information and business enterprises can clearly define and protect their IP with registrations and digital documentation.
read more – copyright by www.analyticsinsight.net
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