Some people take the plunge and start gambling without any prior knowledge or strategy. Others like to be more methodical in their approach. However, whether you dive into the world of slots or not, as a developer probably you know that Big Data is changing the slot wins in the Casino history. Table of Contents 1 Introduction 2 What are slot machines 3 What is reinforcement … [Read more...]
What is Data-Driven Journalism?
Data-Driven Journalism is the process of obtaining, building, filtering, analyzing and presenting databases, with the aim of generating news. It is a practice derived from Precision Journalism, proposed by Philip Meyer in the 1970s, and Computer-Assisted Reporting (CAR). The first reference to Data Journalism, a term derived from Data-Driven Journalism, was made by programmer Adrian Holovaty … [Read more...]
What is Data Journalism?
Data journalism is a journalism speciality that involves collecting and analyzing large amounts of data using specialized software and making the information understandable to the audience through articles, info-graphics, data visualizations, or interactive applications. Computer-aided journalism was first used on the CBS television network in 1952 to predict the results of the presidential … [Read more...]
What is Big Data Maturity Model
Big Data is about answering business questions. With in-memory data structures, file based storage systems, and massively parallel processing, today we are able to leverage advantages from data. To dig information from that data, any business need to create a functional model which solves their business problems and get the right technology for analytics. Here is where we need data maturity. … [Read more...]
Influence of Digitalization on Marketing : Part III
In the previous part of this series, under the sub-header "Marketing strategies", we have discussed about Customer requirement and Customer acquisition. For many companies, online marketing is the most used medium for customer acquisition. The other points to discuss under the sub-header "Marketing strategies" are Customer loyalty and The challenge for marketing. "Digitization in the field of … [Read more...]
Influence of Digitalization on Marketing : Part II
This is the continuation of first part of the series. A company can only be successful if it pursues clearly defined goals. The term goal is a desired result for the future. To be able to define a goal, it has to be analyzed where you are and where you want to go (e.g. increasing sales, increasing market share, increasing customer satisfaction). These goals can be pursued and implemented through … [Read more...]
Big Data and AI Creating More Humane Customer Service
The use of Big Data and AI will change our everyday work more. When used correctly, they not only can drive the level of automation, but also contribute to more humanity. Regardless of whether Big Data and AI help a commuter to navigate an expert or not, they relieve the peoples from repetitive and error-prone tasks. The more Big Data and AI are been applied to everyday problems, the more it … [Read more...]
Machine Learning in Capital Markets : Part VII
This is the continuation of part VI of Machine Learning in Capital Markets. In the course of this work, a critical examination of the use of various learning methods in the analysis of financial market-specific data showed that machine learning methods are only conditionally suitable for successfully predicting share prices. A look at the results shows that there are sections of the stock … [Read more...]
How the Gaming Industry is Using Big Data
Big Data has currently become a fundamental tool across most industries. Naturally, as a market that's always at the forefront of innovation and development, the gaming industry adopted it quickly, with many companies and brands harnessing the power of big data to improve their offering in 2020 and beyond. Analytical frameworks using big data are a natural fit for the gaming industry since today … [Read more...]
Machine Learning in Capital Markets : Part VI
This is the continuation of part V of Machine Learning in Capital Markets. The determined values can be converted into a uniform interval by scaling. The interval can range from -100 to +100 units. It is only important that all values are scaled so that the relative size is not changed. In contrast to the RSI method, individual outliers are not eliminated, only the size of the individual … [Read more...]
Machine Learning in Capital Markets : Part V
This is the continuation of forth part of Machine Learning in Capital Markets in Capital Markets. The technical indicators are intended to help identify a trend as early as possible. The result of the various technical indicators is to provide a mathematical value that is determined from the price and trading data. It also tries to incorporate information from the past into future forecasts. … [Read more...]
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