People often feel that Data Science is just related to analysing data and providing with an optimised solution. But Data Science also covers a Technology savvy domain that is Artificial Intelligence (AI) and Machine Learning (ML) and other fields like IoT and other sectors too. Artificial Intelligence and Machine Learning are all subsets of Data Science and the trends, transforming every industry to use technologies for precise business analysis and to optimize operations.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions. It relies on patterns and inference instead. Machine Learning is seen as a subset of Artificial Intelligence. Machine Learning Algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task. Machine Learning Algorithms are used in a wide variety of applications. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of Machine Learning. Data mining is a field of study within Machine Learning, and focuses on exploratory data analysis through Unsupervised Learning. In its application across business problems, machine learning is also referred to as predictive analytics.
Algorithms used by these technologies are designed to produce high-level processing for a machine to handle a huge amount of data and to make decisions based on logic, enabling the machines to learn and to complete the task without any explicit programming.
Major industries that use Artificial Intelligence and Machine Learning :
Agriculture
AI and ML are the technologies that can fit into any industry, the adoption of automation could revolutionize farming all over the world. These technologies are mainly focused to develop automated robots as there is a labour shortage, detecting weeds, monitoring soil and diagnosing plant diseases.
[
]
Google is working on an application that gives information on what type of plants that can grow in what kind of fields and it also detects disease, the type of disease that affected the plant, reasons behind it and measures to treat disease.
Microsoft is aiming to help farmers to improve the yields with Sowing App. This helps farmers when to prepare the farm, the optimal sowing timings, seed treatment, application of nutrients, pest and disease management, water management. The impact made a 30% increase in the crop yield, per hectare.
Finance
Finance Industry is a pioneer of AI technology. This sector has a very huge amount of quality data, AI algorithms are broadly used to perform the best prediction and analysing the data from collecting to managing, transactions to investments. AI give strategic actions for a Business Development.
AI powers the financial services and solutions ensuring a secure business. It aims to deliver the services that a customer needs, and helps to detect the bank frauds. Banking sectors rely heavily on these technologies, these directed to evolve Chatbot’s and Conversational Interface to serve the customer with the relevant information as per requirements.
As the world is into Internet banking and online trades, Cybersecurity comes into the picture. JP Morgan, American Express, Experian and many financial industries have collaborated with reputed companies and experts to improvise the standards of business and to prevent the threats that can affect the customer, investor, and the banking sector. There are many companies working on Cybersecurity, Palo Alto Network introduces Magnifier to detect the stealthy activity behind the business, it uses ML algorithm to investigate and to terminate the threat.
Transportation
Artificial Intelligence (AI) and Machine Learning (ML) algorithms are widely emerging to predict, monitor, manage the traffic, the usage of these technologies drawn the interest of many companies towards the field of automation.
Self-Driving Cars are the primary aspect to discuss. Although it is still in the testing phase, Self-driving cars are the future of transportation. The algorithms for such complex products are being developed for a system to adopt new features like analysing and optimizing the data collected from a variety of sources, routing, mapping, and navigating to the situations around them in the real world.
Computer Vision and Sensor Fusion are vital applications in self-driving cars that help in analysing the context of different objects and processing the way of control. Thus provides the information and processes with data gained from different sources to the system for precise decisions and responds according to the situation. BMW, Volkswagen, Japanese Shipping Companies_ have a team of AI experts working on such a range of products_.
#machine-learning #application #artificial-intelligence #data-science #ai
