DeveloperWeek Management 2024 + AI DevSummit 2024 (+ DW Europe/LATAM 2024)

Assaf Resnick, BigPanda, Founder and CEO

“Garbage in, garbage out” is a maxim that should be embedded into every step of the AI development process: Data lies at the center of machine learning processes - which means accurate and high-quality data is required for developing responsible AI technology. If a system is ingesting poor-quality data, the system will yield poor-quality results.

AIOps platforms often employ complex algorithms and machine learning models to analyze data and identify patterns. However, the lack of transparency in these models can result in a black-box problem, making it challenging for IT teams to trust and act upon the generated insights.

As organizations increasingly rely on AI to make critical operational decisions, we must shift from the scary, black-box to “Open Box AI'' that is explainable and controllable for human operators. An “Open Box” approach makes the AI/ML logic fully transparent, understandable and controllable, leading to higher trust and adoption.