AI predicts outcomes using historical data, while Generative AI creates new content. Their growth is vital for informed decision-making in life sciences, necessitating careful validation.

Generative AI is a subset of AI that creates and develops new content like text, images, and audio using algorithms trained on unlabelled and unstructured data to identify patterns for various scenarios.

AI can be considered as an intelligent robot which possesses the cognitive characteristics of a human being.

In the digital age and with the emergence of generative AI, it’s never been more important to establish effective data protection and privacy

Generative AI has the potential to transform a range of industries, from healthcare to banking and even photography

Technologies like Generative AI are set to reshape the nature of human labor

Generative artifical intelligence presents several short- and long-term challenges that organizations must address with regulations, trusted data and new policies

Cloud enables GenAI, but data is the multiplier

As organizations begin their exploratory journey with generative AI, they realize success relies on data and the cloud

Conversational chatbots, powered by generative AI, are making engagement easier for patients, providing the right answers and eliminating wait time

Generative AI is disrupting the status quo and driving rapid adoption in business and consumer landscapes

According to Gartner, the global AI market size is expected to reach $134 billion by 2025