Use of social data analytics for online marketing By Aditya Abeysinghe Social data Social data is information users post on social media websites or applications and other data such as biographical and location data. For example, posts or tweets, images, videos, shares etc. are data shared in social media. These are available to other users through a social media platform or by using public APIs (Application Programming Interfaces). Data can also be made available to internal business users in the form of private APIs. These data are used for analysis which can then be used for business promotions, enforcing security, and improving business functions within social media organizations. Social data analysis Social data analysis includes analyzing data within social media platforms. It includes gathering data using an API(s) or a publicly dataset(s) and then cleaning, transforming and analyzing the data. Social media data can be real-time or past data based ...
Aditya Abeysinghe
Why discovery analytics is more useful in analysis of businesses? – By Aditya Abeysinghe Data Discovery Businesses generate large amounts of data today with diverse types of systems used. These systems vary from systems where data are analyzed for direct business benefits to systems that are used for indirect benefits such as those used in ensuring customer relationships using social media, email and assistance using virtual (chatbot-based) messages. Analyzing these data from systems that have diverse functions is often costly for a business and also most data are not that useful to be analyzed. Therefore, data discovering process on which data to be used in analysis is often useful to avoid costs and gain only required knowledge for business analysis. Analytics on data discovered Unlike other types of intelligence used for business analysis, intelligence used in discovery of sources to be used is only used by analysts who have knowledge ...
How emotional intelligence is changing online retail trends – By Aditya Abeysinghe What is emotional intelligence? Emotional intelligence (EI) is the ability to control and identify emotions within a person or that of other people. EI can control and respond to attitudes of others as well as control emotions within a person. Therefore, intelligence of emotions is often considered important than maintaining cognition intelligence. Levels of EI According to [1], there are four levels of EI: perceiving emotions, reasoning with emotions, understanding emotions and managing emotions. The first stage of EI is to perceive them. This involves accurately understanding emotions such as facial expressions, gestures and signals. Once emotions are perceived then these emotions can be used to reason whether they need to be responded. For example, some people do not want to respond to someone who is angry but may respond to someone who is joyful. The next step ...
User behavior data benefits for business – By Aditya Abeysinghe Data from users Today businesses collect various types of data from users. These data range from data entered directly to a system such as to a website to data from user interactions in a system. Businesses use methods such as browser cookies, analytics scripts embedded to a user interface etc. to track user interactions and data input to a system. These data are then used by business analysts to increase user retention rate leading to increase of sales. What data is collected? Behavioral data from user experience is one type of user data collected by businesses. It is often collected using an aggregation of data which require analysis from different experts. Behavior tracked to enhance user experience include navigation of pages or screens within a website, links clicked etc. These data are used to understand what sections of a system ...
Is automating analysis of networks beneficial? – By Aditya Abeysinghe What is a network analyzer? A network analyzer is a device that is used to analyze a network. This device can be used to gather information on protocols or networks used, signal strength of a network etc. The method in which a network analyzer analysis networks is by measuring the response of a network’s devices. The network analyzer sends network signals to devices and then a user can see how these devices respond back to these signals in a radio frequency (RF) circuit. The two mostly used types of network analyzers are scalar network analyzers, which measure the amplitude of a radio frequency device, and vector network analyzers, which measure amplitude, phase and other values. Limitations of hardware network devices The main drawback of using hardware devices is that scalability is impossible without wiring new devices with the analyzer. A ...
Rise of microcontroller computation – By Aditya Abeysinghe Microcontroller A microcontroller is a single Integrated Circuit (IC) that uses memory and input and output (I/O) inside it to compute. It is a new technology which uses a different methodology to compute using fewer external devices. Most of the hardware required for computation is built-in and often only power and data from sensors and is required to perform computations. Microcontrollers are less costly and use less power compared to microprocessors. These devices are used to process data external to a device with minimal input. Therefore, they are embedded in electronic devices such as air conditioners and are used for research activities. Microprocessor A microprocessor is a single IC chip that uses memory and I/O external to it to compute. Memory (primary and secondary) is external to the microprocessor and it is connected to the chip with bus controllers. Microprocessors are ...
New tech in cellular networks for connected cars By Aditya Abeysinghe 5G and 6G networks 5th Generation (5G) networks are the next generation of networks after 4th Generation (4G) networks. 4G is currently used as the wireless spectrum in most areas and offers most of the wireless functions we use currently. However, 5G provides faster connectivity speed and low latent connections that are typically used for real-time systems. 5G uses different networking concepts compared to that of 4G. For example, it uses millimeter wave technology that enables Gigabytes of data per second to be transferred and it uses massive Multiple Input Multiple Output (MIMO) antennas to serve a large capacity of users. 6th Generation (6G) networks are still in the research stage and will be the generation after 5G networks. 6G networks will support up to about 1 Terabyte of data per second to be transferred. To transfer data faster ...
AI in self-driving cars – By Aditya Abeysinghe What are self-driving cars? A self-driving car is a vehicle that can identify its environment using sensors and other cameras and depend on less human input to drive. These vehicles are also called autonomous vehicles, driverless cars and robotic cars. However, there is no production level car that is fully driverless. These cars have been extensively tested and some models are widely purchased in the commercial automobile markets. Levels of self-driving Society of Automation Engineers (SAE) has divided the level of automation in self-driving into six levels. The first three levels require the driver to view the environment. Level 0 is driving without self-driving and a human is required to handle all functions of a vehicle. However, a vehicle may display some system issues and automate engine level electronic functionality. In the next stage, level 1, the driver and the system share ...
AI uses in robotics for manufacturing By Aditya Abeysinghe Robots are commonly used to automate tasks in manufacturing plants. They are used in most types of manufacturing to reduce errors, time and effort of manual tasks. Tasks of robots range from robotics that automatically package goods to those used in human assistance. Use of Artificial Intelligence (AI) in robots is a new trend in manufacturing. Trends in manufacturing using robotics Robots used in manufacturing are of different forms. As an example, some robots used for manufacturing are mobile and some are stationary. The use of AI and other methods to control these robots depends on the type, mobility, and tasks performed. The level of services performed also depends on the automation level of robots which often depends on the intelligence level and computational constraints. Autonomous Indoor Vehicles (AIV) are a new trend of robots in manufacturing. These robots are used ...
Use of AI with service marketing By Aditya Abeysinghe What is service marketing? In service marketing a service is marketed to a target customer segment. This type of marketing is different from marketing of a product as an intangible item is marketed to the customer segment. As an intangible item is marketed neither party has ownership of the item being marketed. Service marketing also needs less time to market than marketing a product. Also, since a service has less scope after it is being used, marketing a service is often difficult than marketing a product as it is often difficult to convince customers to use a service. Types of service marketing External service marketing is the most used type of service marketing. In external service marketing a service is marketed to its customers. Different types of techniques like products, purchasers, etc. to promote services are used in this type of ...
