概觀 – 在數字化轉型時代,en,預測性和規範性分析是業務成功的關鍵,en,組織正在嘗試從數據中提取極端見解,en,特別是BigData,en,從BigData完成價值提取的任務,en, predictive and prescriptive analytics are key to business success. As a result, organizations are trying to extract the extreme insight from the data(specifically Bigdata).To accomplish the task of value extraction from Bigdata,…
技術如何徹底改變視頻製作世界,en
概觀 – Gone are the days of bulky, expensive equipment and labor-intensive processes in video production. With the help of technology, video production has become faster, more affordable, and more accessible than ever before. From camera equipment to online streaming…
Understanding Machine Learning
We have heard the term ‘machine learning’ in different discussions and forums, but what does it exactly mean? Machine learning can be defined as a method for data analysis, based on pattern recognition and computational learning. It comprises of…
Impact of machine learning on teaching excellence?
Overview Machine learning can potentially redefine not only how education is delivered but also foster quality learning on the students’ part. Probably, the most important part in the role of machine learning in teaching is customized teaching. With machine learning,…
How machine learning can improve security?
概述網絡安全格局一直在不斷發展,en,也許比想像快,en,不斷發展的景觀的一個特徵是安全威脅,en,新穎的威脅一直使組織因其活力和滲透性而使組織不眠之夜,en. Perhaps at a pace faster than imagination. One feature of the evolving landscape has been security threats. Novel threats have been giving organizations sleepless nights because of their dynamism and penetrative…
What’s the difference between AI & 機器學習?
What is artificial intelligence (AI)? Artificial intelligence is a part of computer science that can mimic human intelligence. The word Artificial intelligence refers to “Human-made thinking ability.” Thus, science is used to define artificial intelligence. AI system does not require…
AI自動化時代數字營銷工作的未來,en
Overview – With the rise of AI, what will be the future of digital marketing? Artificial intelligence is a powerful tool that can be used to create algorithms that give companies the ability to automate tasks, reduce errors, and achieve…
Four levels of Artificial Intelligence (AI) – Achieved and Theoretical
Author – Kaushik Pal Overview Artificial intelligence (AI) and machine learning (ML) brings a revolution in computer science in the age of Big data. The data is the new fuel for business. And, extracting the insight from this data is…
How the Fintech startup uses ML to disburse loans and detect fraud?
概觀: The rise of fintech has not only enabled the banks and organizations to offer better services but has also changed the way financial operations were undertaken. Many benefits can assure you of the importance of Fintech, artificial intelligence, 和…
Where do we use Data Analysis?
概觀: The internet has a large amount of raw data. Organizations and companies have data that needs graphical representation for decision-making. The importance of data visualization is to transform the raw data into charts, graphs, and other visual formats like…
6 tech trends you need to remember in 2022
概觀: While you might be fascinated by AI yet couldn’t care much for blockchain, both can be applicable to making your business fit and future-ready going forward. Beyond the peripheral and relatively minor apps and other small innovations companies might…
Top 7 Software Testing Trends
概觀: Over the past decade, there has been a considerable revolution in the field of software testing with new trends coming into IT services. Testing methodologies have witnessed a massive transformation in software design, development, testing, and delivery. The need…
Promises and drawbacks of machine learning
Overview Machine learning is a special type of algorithm which can learn from data and make predictions. As we collect and get more data from various sources, the predictions can be made more appropriately. 但, 另一方面, 那裡…