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

Generative AI: A human-algorithm symphony orchestrated in the cloud
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

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

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

Revolutionizing digital transformation with AI
The emergence of generative AI has enabled organizations to accelerate complex transformations and streamline program delivery processes. Discover what this could mean for packaged applications

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

Cybercriminals utilizing AI to commit cybercrimes
The rise of publicly available AI tools has also led to the rise of AI-related cybercrimes and an increase the effectiveness of scams

Decoding GenAI: The future of artificial intelligence
In a recent HCLTech Trends and Insights podcast episode, Alan Flower discussed how generative AI (GenAI) is revolutionizing AI and spurring innovation across industries

From fiction to reality: Generative AI’s journey to mainstream adoption
Generative AI is disrupting the status quo and driving rapid adoption in business and consumer landscapes

How Generative AI is shaping the next generation of work
Technologies like Generative AI are set to reshape the nature of human labor


Integrating AI with Life Sciences data
AI is transforming the life sciences industry by enhancing data integration, addressing ethical concerns, and ensuring secure, compliant AI applications across the pharma value chain.