Technology’s Magic: Big Data, Artificial Intelligence, Machine Learning, And Deep Learning
The most recent buzzwords in machine learning, big data, and artificial intelligence are deep learning, machine learning, and artificial intelligence. These technologies power applications like face filters, Siri, and image recognition, as well as new business and marketing applications. But before we can think about business, we should first understand what each of these terms really means and how they differ.
What are the Differences Between Them?
Due to the challenge of capturing, storing, transferring, querying, and updating such vast amounts of data, Big Data is generally referred to as data that cannot be processed effectively with traditional applications. There is no single definition for big data, but the three V’s are often used as indicators: Volume (the amount of data), Variety (the sources of the data and the formats in which they are presented), and Velocity (the rate at which the data is generated and available for processing). A Big Data system should at least address these first three dimensions, and it should be defined by them.
Even more, Vs have been added over the past five years. There are 5 V’s of big data today, including Veracity (trustworthiness of the data sources), and Value (purpose, but also along business lines) that focus more on quality than on technical factors.
Because Big Data involves storing and processing large amounts of data rapidly, it is often analyzed using Artificial Intelligence (AI), Machine Learning, and Deep Learning. It is common to use these terms interchangeably, but they do not mean the same thing.
As a field of computer science, Artificial Intelligence can be defined as the study of creating intelligent machines. Those machines can learn, understand concepts, draw conclusions, and engage in dialogues like humans by mimicking human performance.
In contrast, Machine Learning refers to one of the branches of AI that focuses on the idea that we should actually be able to provide machines with data and let them learn for themselves.
Last but not least, Deep Learning is a branch of Machine Learning that is based on learning data representations, in contrast to task-specific algorithms. Then there’s the question of what a Neural Network is. AI Neural Networks (ANN) are computing systems modelled after the human brain’s connections between neurons and nerves. The system uses the hierarchy of concepts to enable computers to learn from experience. A deep learning algorithm is useful for identifying words and objects in images. Researchers are looking to apply this concept in many other future applications to more complex tasks such as automatic language translation, medical diagnoses, marketing, and numerous other important social and business problems.
Why are Data Analytics and Artificial Intelligence Important to Wi-Fi?
BITS Secure IT Infrastructure would like to utilize new technologies such as Big Data analytics to create new business opportunities. The Connectivity Experience Solution (link) is a solution that provides the best connectivity experience at all times. Based on an SDK, a Connection Manager (that seamlessly connects users to WiFi), a Quality of Experience Manager that selects the best connectivity option (among multiple WiFi networks or cellular), and Network Analytics to obtain insight into network performance.
The Quality of Experience Manager is already using Big Data. According to a multivariable model, QoE Manager determines the best connectivity option based on a qualitative analysis of each available network. To estimate the real connection quality at a specific hotspot, this model uses both radio interface measurements and historical user connection data. From the Network Curation System, this historical information is retrieved. Big Data is a system that compiles all the curated data collected over time by the quality of experience manager across multiple devices. An additional device connection enhances the AP’s overall rating by providing further insight into its quality.
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