There is a pinch of Artificial Intelligence (AI) in everything you come across. Be it your mobile app to shop your daily needs, or the chat tool you use for messaging and customer service, be it your favorite video streaming platform or your email tool — AI is very well known ingredient in the recipe for success today. However, understanding AI is not as easy as its application or utilization is made to be. There are at least 150 different types of AI and each has its own dimension, engineering, and application you can learn in AI courses.
Knowing what is AI and its different types can really help you use it better. So, here’s a quick read on the things you can learn in AI courses.
What is AI?
According to Gartner, AI is defined as the application of advanced analysis and logic-based techniques such as Machine Learning, Deep Learning and Neural Networking to interpret data. AI can be broadly divided into three parts, depending on their end application. These are –
- Enterprise AI, used in business processes at an organization level
- Domestic AI, used in consumer products, appliances and personal gadgets
- Advanced AI, such as Augmented Intelligence, drones, autonomous/ self-driving vehicles, and cognitive recognition
Based on the various applications of AI, the technology landscape can be further segmented into AI-as-a-Service, Cloud-based AI and AI hardware. Popular cloud offerings such as Amazon AI, IBM Watson, Microsoft Cognitive Services, Baidu, Salesforce Einstein Analytics and Google AI offer a range of functionality for businesses and related space.
The Real Value of AI
6 out of 10 CEOs and CIOs agree that are already using AI or plan to leverage AI in some way or the other in their current operations. 90% of the CMOs have fully automated their marketing operations for email marketing, analytics, content marketing, data visualization and so on, using AI and machine learning-based software and cloud platforms. By 2020, nearly 3/4th of the top Fortune 500 would hire talent trained specifically to build, organize and operate AI-related tools and technologies.
AI has two aspects –Cost and Automation (which is linked to jobs and robotics). With AI growing into a prime differentiator for businesses, both aspects would balance each other perfectly.
The top industries that are currently considered as leaders in adoption and application of AI technology include banking and finance, Marketing and Sales software providers, healthcare and pharmaceuticals, hospitality and luxury, retail e-commerce, mobile marketing, and TV/ Video advertising. The new-age dimension of AI can be observed in industries such as media and entertainment, automotive and car making, agriculture and military applications.
The value of AI is unquestionable. However, AI can also raise many ethical issues especially when it comes to how data is collected, used, and applied in human interaction. It still remains unsupervised in circles of privacy, politics, and governance, which could be largely due to lack of intent and will in the democratization of AI.
With better data, supervision and computing speed, AI would clearly set the bar higher in accuracy, authority and reliability.