Enterprises use GenAI for efficient content creation, boosting marketing and automation. This strategic move helps them stay competitive in a dynamic market.

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.

The dynamic landscape of AI has allowed organizations to embrace disruption and drive progress through ethical AI, generative AI and machine learning

How are AI and emerging GenAI tools revolutionizing service models to drive automation, efficiency and personalization across various industries?

At a panel discussion hosted by AWS and HCLTech, four financial services leaders discussed the impact, risk and potential of GenAI on the industry

In a recent HCLTech Trends and Insights podcast episode, Alan Flower discussed how generative AI (GenAI) is revolutionizing AI and spurring innovation across industries

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

AI has been a strong ally to a wide range of industry practices and its subsets are going a step further in helping solve real-world problems from natural disasters to healthcare challenges

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

Balancing AI and ethical innovation are key to shaping the intelligent age, where technology drives both progress and responsibility

Industry-specific GenAI, the role of a unified data strategy and the importance of responsible and secure AI are three trends that will define the GenAI market

In the latest iPredict session from HCLTech, Ryan Kido — CTO at Ateliere Creative Technologies — discusses generative AI’s growing influence in the media and entertainment industry