Artificial intelligence (AI) is transforming healthcare in a big way. From nursing care to diagnosis, AI is bringing a new level of personalisation to the industry. In this article, we’ll explore the different ways that AI is used in healthcare and discuss how it’s benefiting patients around the world.

Semantic search is a technology that allows search engines to understand the user's intent behind their query, rather than just matching keywords. This allows search engines to return more relevant and accurate results, improving the overall search experience for users.

​​Data availability is a critical aspect of any business that relies on data-driven decision making. It refers to the ability to access and use data when and where it is needed, and it is essential for businesses to be able to make informed decisions and stay competitive. In today's digital age, where data is generated at an unprecedented rate, organizations are facing new challenges in terms of data availability and management.

There's a lot of hype about artificial intelligence (AI) taking over the world. But we don't think it has any chance of doing so. The data doesn't back it up and neither do the people.

Sentiment analysis, also known as opinion mining, is the process of using natural language processing, text analysis, and computational linguistics to identify and extract subjective information from source materials. This technology is used to determine the attitudes, opinions, and emotions of a speaker or writer with respect to some topic or the overall contextual polarity of a document.

Artificial intelligence (AI) is rapidly altering the way we do work, and its impact is being witnessed and seen in nearly every industry. Almost no task is far from harm now;  from automating repetitive tasks to assisting with complex decision-making, AI is helping to improve efficiency and productivity in the workplace.

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine learning focuses on the development of statistical algorithms that allow computers to progressively improve their performance on a specific task by analyzing data, and the algorithms are trained with data and can, then, make predictions or decisions based on new data.

Artificial intelligence and machine learning are two very important fields of study. While there are many descriptive terms out there, they all mean basically the same thing. In this blog post, we'll examine the differences between these two disciplines and how they're used in various forms of technology.

Virtual assistants are changing the way we interact with our devices and apps. Despite having once been considered only a gimmick, they’re becoming more useful and capable every day. Through their ability to understand us better than ever before, virtual assistants improve our lives every time we use them.