5 Ways That Artificial Intelligence and Machine Learning are Changing Our Lives

5 Ways That Artificial Intelligence and Machine Learning Are Changing Our Lives

September 20, 2018.

Here’s a list of everyday examples of AI and ML and how these technologies positively affect our lives

Artificial intelligence (AI) was once a distant reality in the past. With today’s recent advancements in technology, yesterday’s tomorrow is already here. Artificial intelligence and machine learning (ML) have touched many aspects of our day-to-day lives, without us even realizing it.

As a refresher, AI is the broader term used to encompass machinery that are capable of processing and carrying out tasks with human-like intelligence. ML is a subset of AI where machines have the ability to learn by itself and perform actions based on contextual data fed to it through the internet.

Here are examples of AI and ML applications that are subtly changing the way we live, and how they will shape our future:

1. Cooking

Cooking has now become a lot easier with AI-based applications like Hello Egg. It’s a smart kitchen assistant that helps you automate your food routines, such as how you cook, plan your meals, and go grocery shopping. Hello Egg provides voice-navigated video recipes, and answers questions related to cooking. The device also makes meal planning easier by creating a weekly meal plan based on your dietary preferences. Furthermore, it organizes your shopping list according to your pantry inventory and even facilitates the delivery for you.

IBM also has a cognitive cook, called “Chef Watson”, that creates unique recipes just like a real chef. You just choose a main ingredient and it automatically provides you with complementary ingredients and instructions on how to cook them based on your choices.

2. Transportation

Uber has been around for a while now and, little to our knowledge, it’s actually using machine learning to make the ride-sharing experience more seamless and convenient. Through ML, Uber analyzes daily traffic patterns to determine how long it takes for a ride to arrive, the price of the ride, and the route to take. It can also suggest optimal pickup locations and detect fraud.

Advances in machine learning has also paved the way for autonomous cars, such as BMW’s self-driving car i8 Roadster and Rolls-Royce’s virtual chauffeur 103EX.

3. Retail

Amazon has also adopted machine learning to improve their customers’ retail experience. Through ML, Amazon can provide product recommendations by analyzing your recent searches, visits from others (“customers who viewed this item also viewed”), and shopping patterns of other customers who search for a similar product (“customers who bought this item also bought”). This technology also generates personalized product recommendations on your homepage and automates email reminders about abandoned shopping carts.

Amazon has also adopted checkout-free capabilities through Amazon Go. It uses a combination of computer vision, sensor fusion, and deep learning to automatically detect when products are taken from the shelves, keep track of items in a virtual cart, and then charge the items to your Amazon account—all without waiting in line at the checkout.

4. Healthcare

Artificial intelligence has revolutionized the healthcare sector by automating certain medical tasks, such as interpreting lab results. Doc.ai, an AI-powered “robodoctor”, can interpret blood tests, genetic tests, and other lab tests using natural language processing to talk with patients through an app.

Beyond Verbal is also incorporating emotional intelligence to AI. The technology uses emotional analytics to pick up on subtle cues in speech, inflections, and gestures to assess a patient’s feelings or mood. The Medicrea Group’s Adaptive Spine Intelligence also developed a machine learning-powered medical technology that enables minimally invasive spine surgery using patient-specific implants.

5. Banking and Finance

FICO, a data analytics company, introduced its fraud detection software called Falcon Fraud Manager, which aims to detect and minimize bank fraud. It uses adaptive analytics to improve the prediction of future fraudulent behavior based on recent fraud attacks.

Other financial institutions such as Santander Bank has also adopted machine learning to its suite of services. Santander Bank enables voice banking using a digital assistant called Nina, allowing customers to make bank transfers and payments based on voice recognition authentication.

Applications using artificial intelligence and machine learning are already all around us. With the rate of how AI and ML are developing this year, there’s no telling what other amazing and life-changing technological advances will be introduced in the future.

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Categories: AI/ML, IOT