Buzzwords you have to know in artificial intelligence — In the world of technology, buzzwords become more than buzzwords. They become necessary for communication, but they can be difficult to distinguish from one another. Knowing what they mean can help those who work in technology and related fields understand one another better. The following is a list of buzzwords in artificial intelligence and what they mean:
1. AI (Artificial Intelligence)
Artificial intelligence is the catchall term for all things technology. From algorithms to smart software, anything that is not human that can compute or think is AI.
In general, there are two types of AI, depending on its aim. If the goal is to get the system working, but not really simulate human behavior, we are talking about “narrow AI”. However, if the aim is for the system to simulate human behavior and “think as humans think”, then it is called artificial general intelligence, or “strong AI”.
2. Cloud Computing
Cloud computing involves using remote internet-hosted computers to store, manage, and process data. This is the alternative to using a personal computer or local server.
There are three types of cloud: public, private and hybrid. Most of us use a public cloud. This type of cloud is open to public use and can be free. A private cloud, on the other hand, is used for only one organization or company and can be hosted internally or externally. Finally, a hybrid cloud is a combination of the two.
3. Big Data
Big data is the term that refers to data sets that are so complex and large that traditional applications for processing data are not powerful enough to deal with them. Big data is so large that it can be difficult to capture, analyze, search, share, store, visualize, query, etc. Specially built programs and methods can deal with the complexity of big data.
An algorithm is a set of rules that are followed during problem-solving operations. Computer programs, especially those that must organize data, will use an algorithm. Google search uses an algorithm.
Python is a dynamic programming language that is designed to emphasize code readability. Programmers can express concepts in fewer lines of code than they do when programming with Java or C++.
6. Data Warehouse
A data warehouse allows for large amounts of data to be accumulated and from many sources within a single company, and the data is used to aid in management decisions.
7. Machine Learning
Machine learning is a type of AI that gives computers the ability to learn without being programmed to do so. Machine learning focuses on developing computer programs that can self-teach to change and grow when new data are introduced.
8. Deep Learning
Deep learning is a type of machine learning based on a certain set of algorithms that use the multiple processing layers of a deep graph to model data’s high-level abstractions. The deep graph that is used is made up of nonlinear and linear transformations, which is the mapping between functions that preserves the necessary mathematical operations.
9. Artificial Neural Network
When you have a group of nodes that are interconnected along a vast network of neurons in the human brain, you have a neural network. In technology, these interconnected nodes have an input and an output to one another to make the computers on a network communicate with one another.
A chatbot can simulate human conversation. Chatbot is a service, powered by specific rules (like artificial intelligence) that you can interact with using a chat interface. If you ever used Facebook Messenger, Text Messages or Slack (chances are you have), you used a Chatbot.
11. Data Mining
Data mining is the practice of evaluating large databases of information to create new information that can be useful for a certain function.
For enterprises, data mining tools are essential in predicting future trends in the industry or in the market. It is also sometimes referred as “Knowledge Discovery in Data” (KDD).
12. Predictive Analytics
Predictive analytics involve being able to take past and present data and make predictions about future events. Predictive analytics are frequently used in companies so they can make predictions about profits or how a certain product or service will perform based on past customer demand and interaction. It takes data mining, statistics, machine learning, modeling, and AI to make these predictions.
13. OCR (Optical Character Reader)
Also known as optical character recognition, OCR is when electronic conversions of handwritten or typed text are converted into machine-encoded text. This can be achieved by scanning a document or using a photo of a document.
14. AlphaGo and Deepmind
AlphaGo is Google Deepmind’s computer program, developed to play the Go board game. It became the first Go program to defeat a professional human player in 2015. There were no handicaps in the match.
15. AWS (Amazon Web Services)
AWS is an on-demand computing platform that is made up of a range of cloud computing services. Many companies use AWS to bring more computing power to companies and individuals.
AWS includes Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3) and other services. In terms of market share, AWS is the biggest public cloud provider, followed by Microsoft, Google Cloud and IBM Cloud.
16. IBM Watson
IBM’s DeepQA project led to Watson, which is an AI computer system that can answer questions from the quiz show “Jeopardy.” There is some debate on whether Watson is true AI because it is a database-connected text search algorithm. However, Watson beat “Jeopardy’s” big winners, Ken Jennings and Brand Rutter, in the Q&A game.
A yottabyte is 1 septillion bytes.
A typical personal computer works with Gigabytes (GB). That’s 1 billion bytes. That’s a lot, but basically nothing compared to a Yottabyte (YB), which is 1 septillion bytes, or 1000000000000000000000000 (1024 Bytes). In terms of memory size, Yottabyte is the largest unit for measuring data.
18. NLP (Natural Language Processing)
A computer science, computational linguistics, and AI field that is concerned with human and computer interaction.
NLP allows developers to organize and structure knowledge and perform various tasks, including translation, speech recognition, and topic segmentation, named entity recognition, automatic summarization, and sentiment analysis and relationship extraction.
19. IOT (Internet of Things)
In a world where smartphones, tablets, laptops, PCs, and gaming systems are connected to the internet, the term “internet of things” was coined. These connected devices can send and receive information.
Every IoT device needs to be connected with others of its kinds and applications if it is to send and receive information using Internet Transfer Protocols (ITP). An IoT Platform works as a bridge between data networks and sensors.
20. Smart City
A smart city is a municipality that integrates communication and information technology, as well as IOT technology, to help manage a city’s assets. Schools, libraries, and city departments can easily communicate with one another.
For whatever reason you may need to use these terms, you can now better communicate with co-workers or technology companies with a higher understanding. As time progresses, some of these buzzwords are going to become more commonplace within society because so artificial intelligence is becoming part of everyday life.