AI and ML are set to transform the world, and transformative companies are gearing to deploy AI technologies to reap the benefits. The early bird who certifies in these technologies stands a good chance of building a lucrative career in one of the most relevant technologies today.
Learn the most powerful technology that is disrupting everyday lives and businesses. Opt for an AI and ML course, and stay ahead in a competitive job marketplace. Learn the necessary skills in an IBM collaborative platform, and add them to your resume. Stand a better chance at IT placements and watch your career grow.
What is Artificial Intelligence (AI) and why is it important
AI is the science of making intelligent machines and computer programs in a manner that mimics human intelligence. In other words, AI tries to make computers think and act like humans.
AI uses machines to simulate the problem-solving and decision-making capabilities of the human mind. While it combines machines and datasets, it also includes sub-fields of machine learning and deep learning. These disciplines encompass algorithms that make predictions or classifications based on input data.
Algorithms are built into dynamic machines that use digital data and other information from a variety of sources. This enables machines and programs to analyze the inputs right away and act on the insights gained.
Today, both humans and machines generate a lot of data. It is beyond the ability of the human mind to soak up, deduce and assimilate all this data to make decisions or solve problems. AI forms the underpinning of computer learning that acts intuitively to make complex decisions in an automated manner. Permutations and combinations are computed to arrive at logical conclusions. The speed and agility with which AI can process what the human mind cannot have emerged as the most significant feature. It is why AI has emerged as an indispensable tool for businesses that want intelligent and intuitive systems to process data and tasks. And today everyday lives and business processes are impacted by the power of AI, making it an indispensable technology.
What is Machine Learning (ML)
ML is a branch of AI that focuses on the use of data and algorithms to mimic the way humans learn, iteratively improving the precision of the modeling. It is based on the premise that computer systems can learn automatically on their own, improving accuracy sequentially, identifying patterns, and making decisions without being explicitly programmed. ML algorithms use historical and real-time data as input to learn on their own and predict new output values.
How do AI and ML impact the world?
AI is increasingly becoming available to the public. It is already integrated into smart devices we use at home, like virtual assistants, refrigerators, and light control systems.
This trend is influencing everyday activities as devices are learning from each other in an IoT network and autonomously making decisions.
Besides these applications, we have many more instances of how AI and ML are impacting lives.
AI also helps to improve the efficiency of our workplaces and cuts down monotonous or dangerous tasks.
Impacts everyday lives
AI technology has spread through everyday lives without us even noticing it. We use AI in daily activities: entertainment, social media, online actions, healthcare, and more. The use of AI has enriched lives, making it easier, simpler, and faster. Today, time is the most precious commodity, and folks seek speedy applications and instant solutions. Stressful lives have given rise to the need for ease of living. We need simple to use gadgets and applications that make it easy to relax and unwind. In this scenario, the following examples make daily activities painless, saving time and effort.
Netflix recommendation engine: Its recommendation engine comes up with movie suggestions based on our viewing behavior, how many times a particular series is watched or rewound, the rating, etc.
Google Translate: Google Translate makes use of ML to translate language from source to target language. The many contributors from across the world help the ML model to keep learning, updating and evolving, to become better and better.
Google maps: We are using Google maps for everyday navigation and travel, and even app cabs.
Social media content search: Social media apps like Pinterest use AI to identify images and give you an option that helps you to search for images.
Photo and video editing applications: AI-powered apps use various filters and effects to edit and play around with your images and videos.
Smart weather forecasting: We get insights into climatic events with AI used for analyzing smart disaster responses.
Virtual Assistants: The Alexa virtual assistant functions as a home automation system, learning the home owner’s habits. Using AI in the cloud, Alexa comes up with answers to whatever the owner wants to know or when he wants to operate any of the connected devices.
Diverse applications across industries
AI is powering industry use cases across most sectors and helping to drive efficiencies and drive a competitive edge for businesses.
Some of the industries where AI is driving phenomenal change are:
Automotive industry: Autonomous vehicles use AI to analyze information and navigation maps in real-time together with deep learning to navigate, avoid a collision, know when to apply brakes or swerve, etc.
Healthcare: Surgeries are being performed by AI-driven robot surgeons. Social robots are used in health outreach systems to support therapists and programmed to teach children. By training computers on data sets AI tools teach systems to identify serious medical issues. In medical imaging, AI helps detect cancer and other serious diseases that would otherwise take time to diagnose.
Ecommerce: Just like recommendation engines, Ecommerce uses your purchase history and behavioral patterns to make product and discount recommendations as cross-sells and upsells for higher sales.
Agriculture: Artificial robots are harvesting faster and with more precision than humans.
Banking: The Banking sector uses AI and ML across many use cases like customer service, fraud management, automated email service, and more. AI identifies anomalies and outliers, triggering an additional investigation and helping managers find problems early before fraud occurs.
Finance: While Robo-advisors find the best ways of investing money and manage the investments by creating personalized investment portfolios, decisions about loans are made by AI-driven software that parses plenty of data about the borrower.
In a highly competitive business landscape, retaining customers and profit lines is always a challenge. AI and ML help to analyze data, predict customer behavior for increasing sales. Additionally, these technologies are driving audience satisfaction by making everyday tasks simpler.
So if you want to upskill in one of the most relevant technologies of today, register for a course and dive into the fascinating world of AI.