Artificial Intelligence and Machine Learning are the two hottest terms in every industry in the recent years. For many industries, the innovation revolves around these two terminologies or technological advancements. AI is a broader concept that machines carry out various tasks in an efficient manner what people think “smart.” On the other hand, ML is an application of AI that gives machines access to data and makes them learn it themselves. Interestingly, the evolution of internet and amount of enormous digital data paved ways to the development of ML. Both the technologies have helped various industries to shape themselves to innovate and sustain. Regardless of what change both the technologies added to industries in general, it is great to discuss the changes in specific sectors.
Both ML and AI are paving ways for widespread changes in the healthcare sector. Precision medicine is the latest trend of the recent years, especially in deadly diseases such as cancer. The development of the medication is completely based on big data and machine learning. Clubbed with AI, it ensures most efficient treatment method along with assured results.
AI and ML also make the DNA sequencing and historical medical data of a patient, including clinical and molecular data, capturing simple and technology driven. It ultimately helps the physicians to perform proper diagnosis and offer most-effective treatment regime. The technologies also added significant revolutions to medical research –especially in biotechnology – data analysis, communication, and more.
Transportation is another complex sector that would harness the benefits of AI and ML. People already saw the starting of a revolution in the form of self-driving cars. According to a Business Insider report, there will have 10 million driverless cars on the roads by 2020 – thanks to Elon Musk and Tesla. Interestingly, it is due to Machine Learning as it is designed to analyze the data and respond to various needs using algorithms – the most important working principle of self-driving cars.
The technology would see more integration into the different vertical of transportation in the coming years. The technology can leverage public transportation, efficient utilization of transportation infrastructure, and more. It would reduce the accidents, minimize traffic congestion, ensure efficient use of energy, and more.
A large number of companies started leveraging in branding from both AI and ML in the recent years. In every process of branding, there are a number of tools based on AI and ML to simplify the mission. It includes services ranging from everything from AI analysis tools to machine learning logo makers and more. While all these tools offer efficiency and productivity to the businesses, it also provides better value to the customers. Additionally, the businesses have better control on the entire branding process, and that translates into effective results.
Both ML and AI have an extensive range of applicability in manufacturing industry from keeping supply chain to making products on-time. The machine learning algorithms ensure a greater level of analysis and predictive accuracy in each phase of production. Apart from ensuring efficiency in the production, it improves the other key metrics of manufacturing as well. ML reduces the material consumption and lowers the wastage, improves preventive maintenance and MRO, enables condition monitoring processes, more relevant data to operations and finance, improving marketing and social media presence, and more.
Everyone should note that many AI and ML systems are creating iterative and intuitive algorithms that transform based on results. Also, the system has a designing of continues learning and comes with more optimized outcomes after regular intervals. Transporting and manufacturing sectors have shown this, and more industries are queuing for the optimized results. Yes! Both AI and ML are revolutionizing various industries.