Top 10 Machine Learning Industrial Applications
Top 10 Machine Learning Industrial Applications
One of the biggest gifts of technology to mankind is Machine learning as it brought ease and creativity into human life. Machine learning is a kind of artificial intelligence, where its system can learn and function with minimum human intervention through imitating human brain functionalities. It has effectively deployed deep learning algorithm to progressively improve its performance.
Let’s have a look at top 10 real-world applications of machine learning:
1.Healthcare: Machine learning has made a critical contribution in the healthcare industry through its enhanced competencies of identifying and treating an ailment. Through this machine learning algorithm which is a powerful diagnostics tool, it has effectively contributed to the field of medical diagnostics. Its application includes drugs discovery and development, detection of chronic diseases, robotics surgery, and radiation treatment.
2.Finance: Real-time Machine learning applications has extended its benefits for financial sectors too, as it helped to bring down the operational cost, strengthening security, boost productivity and enriching user experience. Its applications in this field include process automation, financial monitoring, underwriting credit scoring, algorithm trading, robo-advisory and many more.
3.Retail: Machine learning has radically transformed the retail industry as it has significantly increased its productivity and customer engagement. Through the adoption of predictive analysis tool, it has automated data analysis, predicts demand patterns, designs a personalized marketing campaign, and precisely rates the product which in turn has hugely contributed to growing operational profits.
4.Video gaming: Through the application of machine learning gaming has brought gaming to a new level altogether. This technology has been complexly designed to bring different characters of the game to life as they self-learn and evolve using pattern recognition and reinforcement learning. It has made games more interactive, realistic and definitely enhanced the entire gaming experience.
5.Manufacturing: Machine learning has taken the manufacturing industry by storm. It has helped the manufacturing industry in improving its quality, automating logistics and intralogistics. It adopts predictive maintenance through which it is able to align the cost of the product to its demand which leads cost- saving and elevated profits.
6.Automotive: Deep learning industrial application has given the automotive industry a new dimension with introduction of autonomous driving and advanced driving assistance system. It has significantly contributed to accurately predicting the needs of the customers, enabled predictive maintenance and helps provide a personalized experience.
7.Agriculture: The farming industry has efficiently put machine learning algorithms to use.It aids in accurately predicting the performance of a crop, weather pattern, nutrient content of a soil, and diagnose a plant disease which leads to improving the quality of the crop and boosts production.
8.Sports: Real-time machine learning application has been a true game-changer with its sports analytics technology as it has dramatically improved the team’s performance. Through its predictive analysis feature, it canforecast the results of the game and also provides a potential vision into the game through its motion capture technology. Additionally, sensor-loaded athletic gears can also provide actionable acuity into the game.
9.Genetics and genomics: One of the finest real-world applications of machine learning is in genetics and genomics. Its applications in this domain include gene prediction, gene expression, gene ontology, gene finding, transcription factor target prediction, RNA secondary structure prediction, and gene editing.
10.Aviation: Machine learning and deep learning industrial applications bear a great relevance in this domain haveled to improving its functionality and user experience. It aids in providing consumer support, maintaining consumer data privacy, checking passenger’s credential, and baggage screening.
Real-world application of machine learning has proved its potential and is successfully marching its way into different fields of our life.