Hybrid AI is an integrative approach reshaping how AI is applied to mission-critical applications. Its potential lies in addressing the critical limitations of current AI solutions, with key industry drivers including enhanced interpretability and explainability, greater application flexibility, and improved scalability and efficiency. Strong growth potential across end-user segments such as chemicals and petrochemicals, power and utilities, life sciences, mining, and industrial manufacturing underscores its opportunity.

• Why is the integration of hybrid AI into business processes becoming increasingly important, and which industry best practices can your team adopt?
• How is hybrid AI transcending the limits of traditional models in scenarios where accuracy, explainability, and adaptability are non-negotiable?
• What growth avenues can enable machines to learn and evolve from vast data while following defined rules and logic that guide their learning?