HCLTech and MIT Technology Review Insights have released a report emphasizing the importance of integrating responsible AI practices into business operations.

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.

How data mesh is revolutionizing data architecture for the modern age

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.

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

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

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

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

Cloud enables GenAI, but data is the multiplier

Generative AI is the trend on everyone’s mind. To truly take advantage of this game-changing technology, it must be adopted and used with the right data and cloud strategy

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