Introduction to AI technology

Introduction

Introduction to AI Technology is a starting point for business decision-makers who would like to get a high-level overview of AI. This module will discuss how the AI technologies are transforming organizations by giving them a competitive advantage; improving customer experiences; and enhancing efficiencies in their internal processes.

    Microsoft has made tremendous AI advancements from our global research and data scientist teams. These AI innovations have enabled Microsoft to produced products to empower businesses, developers, and data scientists to build and deploy models faster. Using Cognitive Services, developers can easily apply Microsoft pre-trained AI models in their own applications. They can implement vision, speech, language, search, and decision-making functionality without requiring machine-learning expertise.

What is Artificial Intelligence?

The term AI tends to be thrown around a lot. Artificial Intelligence (AI), machine learning or deep learning are common terms that confuse many people. So, what are they anyway? In this unit, we will clarify these methods  so you can understand how it applies to your business problem.

Artificial Intelligence

Artificial Intelligence (AI) is an ability of computer program or machine exhibited or mimic human-like behavior (for example, visual senses, speech recognition, decision-making, natural language understanding, and so on.

Machine learning

Machine learning is a subset of AI. Machine learning is a technique where a machine sifts through numerous of data to find patterns over time. Machine learning uses algorithms that train a machine how to learn patterns based on differentiating features about the data. The more the training data, the more accurate the predictions. 

Here are some examples:

Email spam detection:- Machine learning could look at patterns where email has words like "free" or "guarantee". Email address domain is on a blocked-list. A link displayed in text doesn't match the URL behind it.

Credit card fraud detection:-  Machine learning could look at patterns like the spending in a zip code the owner doesn't usually visit; buying a big-ticket item; or a sudden shopping spree.

Deep learning is a subset of machine learning:- Deep learning is imitating how a human brain processes information, as a connected artificial neural network. Unlike machine learning, deep learning can discover complex patterns and differentiating features about the data on its own. It normally works with unstructured data like images, text, and audio. That’s why it requires enormous amounts of data for better analysis and massive computing power for speed. For instance:

Detecting cancerous cells in medical images:- Deep learning scans every pixel in the image as input to the neural nodes.

The nodes analyze each pixel to filter out features that look cancerous. Each layer of nodes pushes its findings of potential cancerous cells to the next layer of node to repeat the process and eventually aggregate all its finding to classify what the image is. For example, a healthy image versus an image with cancerous features found.

Some Future of Artificial Intelligence

1) Artificial Intelligence has emerged to be the next big thing in the field of technology. 

2) Artificial intelligence is not only impacting the future of every industry and every human being but has also acted as the main driver of emerging technologies like big data, robotics and IoT.

3) AI will continue to act as a technological innovator for the foreseeable future.

4)  AI will give you an edge over the other aspirants in this industry. 

5) AI in Healthcare, Chat-bots, and more, now is the time to build a path to a successful career in  Artificial Intelligence.