Making AI practical, responsible and impactful with Oracle

Artificial intelligence has evolved into a business imperative at breathtaking speed. What once seemed like a distant possibility now sits at the center of boardroom discussions and strategic planning sessions across every industry. The emergence of AI is fundamentally transforming how businesses operate, compete and deliver value to their customers. Yet despite the endless hype and enthusiasm, simply adopting these tools is not enough. Organizational leaders who rush into implementing AI without a clear strategy often find themselves disappointed by wasted resources and frustrated teams.  

Understanding AI 

At its foundation, AI refers to computer systems that perform tasks that typically require human intelligence by learning from experience, recognizing patterns, making decisions and generating content. So what are the AI technologies and terminology that we are hearing so much about these days? 

• Generative AI (GenAI) creates new content, such as text, images, code or other media, based on patterns learned from training data.  
• Large language models (LLMs) are AI systems trained on enormous text datasets, enabling them to understand and generate human language with even more sophistication.  
• Agentic AI is the next evolution. These are autonomous systems capable of taking actions, making decisions and completing tasks with minimal human intervention. Agents can plan multi-step processes, interact with tools and databases and adapt their approach based on feedback. These are the “conversation creators”. We are truly interacting more than transacting with business technology because of Agentic AI. 
• Machine learning (ML) underpins most AI applications, where systems improve performance through experience without explicit programming. Predictive analytics, recommendation engines and automated decision systems all leverage ML algorithms.