AI adoption continues at an unstoppable pace across countless industry sectors, and for good reason. AI applications can transform the enterprise with stronger decision support, predictive capabilities, and automation that drastically improve production quality and scale business processes. There are more and more AI products on the market to choose from that streamline this adoption path. Yet, in the rush to implement, organizations can’t afford to skimp on the DevSecOps priorities that will ensure this adoption doesn’t come at the expense of accuracy, accountability, and compliance.
More than any other role in the org chart, the developer is in the hot seat to reconcile this dilemma of taking AI as an investment priority and ensuring the implementation lives up to that investment as an effective, secure, and compliant operation around the use of AI. With that in mind, here are five priority areas that will define the developer’s to-do list in 2024 when it comes to AI: