Machine Learning Applications: Real-world Examples and Success Stories

Discover the Power of Machine Learning through Real-world Applications and their Success Stories

It will be a rarity these days if someone tells you that Artificial Intelligence and Machine Learning has not had any impact in their lives. AI is making our everyday routines more efficient and pleasurable; from the personalised suggestions we get on shopping sites to the self-driving vehicles that are becoming more common on our roadways. Despite these benefits, many individuals still find technology bewildering and daunting. Surveys conducted by a leading global consultant reveals that this segment is expected to have a CAGR of 14% till 2030 and reach close to $16 trillion in terms of value.

Artificial intelligence improves the effectiveness and speed of human endeavours. Moris Media, the leading digital marketing agency in India, has been minutely following the developments in these domains and how they are not becoming more and more accessible to common folk but also making their lives a lot easier. We will use real-life examples and a straightforward approach to demonstrate how AI is already changing the world and what we may expect from this fascinating technology in the future.

AI improves the accessibility and effectiveness of education:

Prior to the pandemic, the digital revolution was required for schools to remain competitive; however, due to its benefits, it has gained increased support and funding as the outbreak has neared its end. Learning everywhere, at any time, is the new norm and culture. AI-powered technologies may generate personalized learning plans based on student performance, allowing instructors to concentrate on individual needs and assist students in reaching their full potential. AI-powered technologies may also assist instructors in swiftly grading assignments and providing comments, saving effort and allowing more immediate feedback.

Quizlet, a popular study tool, uses AI to help users study more efficiently by developing personalized learning routes that target a student's weak regions and help them absorb content more rapidly. Natural language processing (NLP) techniques have proved effective for both instructors and students. Chatbots and AI-based educators have also helped to expedite the educational process. Because most teachers are unavailable after school hours, some school districts have begun to implement chatbots to assist students with school-related questions.

AI is assisting in the creation of a more sustainable planet:

AI deployed for environmental applications might contribute more than $5.2 trillion USD, or about 4.5% more than business as usual, to the world economy by 2030. Machine learning algorithms are being utilized to increase supply chain efficiency, decrease waste, and optimize energy use. AI-powered sensors and gadgets can monitor and regulate energy use, lowering costs and decreasing environmental impact. With its ability to predict possibilities of natural disasters, AI facilitates taking mitigating measures that minimise loss of lives and property damages.

When combined with augmented and virtual reality, artificial intelligence (AI) has the potential to replicate and automate the establishment of zoning laws, building codes, and floodplains (AR and VR).

A real-time, open API, AI-infused, digital geographic dashboard would enable the monitoring, modelling, and control of environmental systems on a scale and speed never previously achievable for the whole world. Addressing illicit deforestation, water extraction, fishing, and poaching, as well as air pollution, natural disaster response, and smart agriculture, would be part of this.

AI is enhancing customer service:

Machine learning algorithms are used to analyse consumer behavior and preferences, allowing businesses to deliver hyper-personalized suggestions and enhance customer experience. AI-powered chatbots and virtual assistants may respond to client enquiries instantly and cut support wait times. A machine learning technology known as 'predictive personalization' may make consumers' experiences seem tailor-made. AI may predict which goods a customer would be interested in or notify them when it's time to make a new order based on criteria such as previous purchases and user behavior. Along with movies and TV shows, streaming services can recommend new music and podcasts to users.

Moris Media also investigates the beneficial influence of AI/ML on our everyday lives. It improves healthcare, develops sustainability, improves transportation, improves customer service, increases access to education, improves finance, and encourages environmental conservation. However, we need to ensure responsible usage of these technological tools so that they can provide enhanced societal benefits. With additional improvements and breakthroughs, we may anticipate these developing technologies to have a huge influence on our everyday lives in the future.

The End Note:

"Some call this artificial intelligence, but the truth is that this technology will improve us." So, rather than artificial intelligence, I believe we will augment our intelligence.