Operational AI in Business Excellence from Theory to Measurable Results
Keywords:
Artificial Intelligence; Automation; Business Excellence; Operational Efficiency; Performance OptimizationAbstract
With the adoption of Artificial Intelligence, expected to contribute $15.7 trillion to global economy by 2030, businesses will no longer operate or compete like they used to. Driven to astronomical $154 billion global AI spending in 2023 by this massive economic potential, operational AI is now a critical driver of business excellence, and company results. However, the shift to an AI powered operation is particularly obvious since nearly 80 percent of business leaders now consider AI to be critical to staying competitive. This is a view supported by real world results – these leading companies have experienced incredible improvements as a result of AI implementation, 40% shorter sales cycles, 25% higher conversion rates. In this we will examine how AI can be used to transform the way organizations operate from initial assessment to a successful roll out. In this comprehensive guide, we’ll cover essential aspects of AI business models, practical AI deploys strategies, and methodologies to attempt to assess AI’s effectiveness. Case study-based and conceptual approach, and practical frameworks will enable you to get and keep concrete results with operational AI, while addressing common challenges and limitations.