How the application of ML AI is relevant across industries.
“Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise, you’re going to be a dinosaur within 3 years” – Mark Cuban.
It is quite impossible to overlook the evident impact of Artificial Intelligence in our everyday lives. It is crystal clear that there is hardly any sector or industry which doesn’t rely on AI for excellent functioning. Artificial Intelligence performs specific tasks smoothly that humans find complicated.
AI, an advanced branch of computer science, exhibits the behaviour characteristics of humans. These characteristics include planning, learning, reasoning, and problem-solving, perception, manipulation, social intelligence, and creativity. AI can acquire information and the directions for using the said information can make judgments based on the given directions and reasons and can understand language.
Quoting Ray Kurzweil, “Artificial Intelligence will reach human levels by around 2029. Follow that out further to, say, 2045; we will have multiplied the intelligence, the human biological machine intelligence of our civilisation a billion-fold.”
Phylum of AI
The forms of Artificial Intelligence are not different from each other, they all are inter-related. AI can be categorised into the following:
As said, these are not different from each other; robotics can use machine vision technologies and language processing can be used for customer service chatbots. But, Machine Learning among all remains superior.
Machine Learning can do a lot of things. Let’s have a look at the reasons why Machine Learning and Artificial Intelligence are so popular among the industries:
- Analyse Sales Data
- Real-Time Mobile Personalisation
- Detect Frauds
- Personalised Recommendations
- Differential Pricing
Are Machine Learning (ML) and Artificial Intelligence (AI) different from each other?
Before proceeding any further, you must understand that AI and ML are interrelated and both the terms are quite often used together. Whenever we talk about AI, ML is presumable to be part of the conversation.
AI or Artificial Intelligence makes machines capable enough to perform tasks technically in intelligent ways. AI programmes these machines in such a way that they can perform in repetitive motion and are capable of adapting to different situations.
Machine Learning or ML can be defined as a branch of AI but a lot more in a specific manner. ML ideates the building up of machines to process data without any need for constant supervision.
How the application of ML AI relevant across industries?
Ray Kurzweil said that “by the time we get to the 2040s, we’ll be able to multiply human intelligence a billionfold. That will be a profound change that’s singular in nature. Computers are going to keep getting smaller and smaller. Ultimately, they will go inside our bodies and brains and make us healthier, make us smarter.”
As per McKinsey (the global online survey conducted in 2018), 78% of users reported that they received significant to moderate values after implying machine learning solutions in their respective industries, while 1% reported none or negative value.
Accenture also believes that up to 40% of productivity can be increased with the help of current AI technology. Even a famous Research and Advisory firm, Gartner predicted that by 2020, 85% of the customer interactions would be handled without a human.
The algorithms in ML AI-based machines are designed in such a way they process huge information and make logical decisions, enabling the machines to perform a task without further programming or supervision. AI and ML are eventually taking over many industries as they are widening their spectrum. Let’s see some examples of the industries where Machine Learning and Artificial Intelligence are growing popular:-
Transportation Industry: Traffic Regulation and Automated Driving
Healthcare Industry: Diagnostics and Radiology & Radiotherapy
Finance Industry: Port Folio Management and High-Frequency Trading
Agriculture Industry: Crop Management and Field Conditions Management
Education Industry: Personalised Learning
Get the hang of ML AI with LEARNXT
The rise of machine learning and artificial intelligence calls for acquaintance with quality learning. Realising the need for quality education in this field, SRM Group in collaboration with LEARNXT, a digital learning brand aims to encourage and empower people to achieve their dreams through education, with a quality touch.
SRM University and LEARNXT will offer MBA, Specialisations in Business Analytics & Machine Learning and Artificial Intelligence, MSc (Applied Data Science), PG Diploma (Applied Data Science), and PG Diploma (Machine Learning and Artificial Intelligence) courses.
These ML AI programmes by SRM University can help the students to equip conceptual knowledge, learn the uses and management of ML AI, to understand data science and technology, and the application of machine learning and artificial intelligence algorithms based on real life-like business problems.
Why SRM University and LEARNXT for Artificial Intelligence and Machine Learning
- Learn emerging technologies of Machine Learning, Artificial Intelligence, advanced Deep Learning, and Natural Language Processing.
- Learn data science skills from the hand-picked faculty.
- Attain skills with experiential learning, including case studies, assignments, assessments, and capstone projects.
- Have hands-on experience on tools like Python with Jupyter Notebooks, R using R Studio, Tableau, and Microsoft Excel.
- Get access to career services with the CareerNxt platform.
Applying machine learning and artificial intelligence algorithms are not about just picking a random algorithm or copying it from other industries. To identify the best ML AI technologies, it is essential to be the best at the skills acquired.
Sridhar Nagarajachar (CEO, LEARNXT, SRM Group) commented “SRM Group and LEARNXT believe that we can empower people to achieve their dreams through education. Our learning focuses on knowing, doing and being aspects of skills and careers”.
Stay tuned to LEARNXT for more insights on machine learning and artificial intelligence.
To know more about the university and its new initiative, LearNxt, please click on, https://learnxt.com/home.php