概要 – In the age of digital transformation, predictive and prescriptive analytics are key to business success. 結果として, organizations are trying to extract the extreme insight from the data(specifically Bigdata).To accomplish the task of value extraction from Bigdata,…
概要 – 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…
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…
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,…
Overview The cyber security landscape has been constantly evolving. 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 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…
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…
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…
概要: 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, と…
概要: 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…
概要: 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…
概要: 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, 開発, testing, and delivery. The need…
概要機械学習は、データから学習して予測を行うことができる特別なタイプのアルゴリズムです。,,en,さまざまなソースからより多くのデータを収集して取得するにつれて,,en,予測をより適切に行うことができます,,en. As we collect and get more data from various sources, the predictions can be made more appropriately. However, on the other hand, there…
