Why automation testing is in demand?
In last few years you might have observed the stress over automation testing skills in most of the test analyst job ads. Does that mean manual testing is dead or going to be obsolete? Read more..
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In this insightful exploration of AI ethics and governance, we delve into the complexities of integrating moral and societal values into the fabric of artificial intelligence. The article examines the evolution of ethical frameworks, highlighting the significance of a holistic approach that encompasses everything from conceptualizing responsible AI to implementing robust governance structures. It emphasizes…
Internet of Things in India
Among the modern technologies Internet of Things (IoT) is the current buzzword that is going to take a lion share of the market in India by 2020. Definitely, the Internet of Things is the area through which Indian govt can realize its outlined dream of making ‘Digital India’. Read more…
Role of Cloud computing in IoT [updated]
The cloud is a great enabler of IoT that solved the data driven needs of the business. The cloud as a technology is providing an agile platform to develop meaningful IoT applications for better data devices over the internet. Does that mean the cloud is an essential need for IoT? Read more…
Real-time data analytics and IoT Applications
The Internet of Things (IoT), which is used to drive value in nearly all sectors, from manufacturing and logistics to retail management and resource management, has a lot of potentials. The IoT collects data from network-connected “things”, which include drones, delivery trucks and medical devices. IoT devices and sensors can collect a lot of valuable insights…
Transaction data Relation to Big Data analytics
Business executives today want to leverage more sophisticated analytics in their business processes, and industry-specific analysis to aid executive decision-making using business data. Interestingly all these data are operational and transactional data that are being fed to big data systems and as big data streaming data. Read more…
Data-centric Approach Of GPT Models
Through this article, we aim to present an overview of the growing concept of data-centric AI and its critical role in the development and maintenance of GPT models. We will explore three key goals of data-centric AI, namely training data development, inference data development, and data maintenance, and how they relate to the success of…
