Infosys' AI Strategy: Breaking Down Barriers to Implementation
Infosys is spearheading AI projects for 90% of its top clients by focusing on six key areas of implementation. From data prep to AI trust, it's about more than just tech.
Infosys is spearheading AI projects for 90% of its top clients by focusing on six key areas of implementation. From data prep to AI trust, it's about more than just tech.
As AI and robotic innovations enter curling, traditional elements of the game face modern challenges. From predictive algorithms to rock-slinging robots, curling's future is on thin ice.
Financial institutions are moving from AI pilots to full-scale implementation by 2026. The focus is on streamlining operations, integrating AI within governance frameworks, and enhancing customer interaction.
As AI systems evolve, context engineering takes center stage, surpassing traditional prompt engineering. It's all about dynamic context and memory management now.