Many enterprises struggle to unlock AI’s potential due to weak data foundations, limited skills, and governance gaps. Intelligent Automation (IA) offers a practical starting point, delivering faster efficiency gains, improving data quality, and laying the groundwork for scalable, responsible AI adoption in the future. CIOs and IT Directors should understand when IA comes first, and when AI is worth the complexity.
Organizations are increasingly adopting large language models (LLMs) to enhance operations and decision-making. While deploying these models locally offers significant advantages in terms of data sovereignty and control, it also presents unique security challenges that cannot be overlooked. IT executives who have, or are planning, a local LLM deployment should make sure it is implemented securely, ethically, and effectively to avoid data breaches and operational risks.