How do all in on AI companies Achieve…

How do all-in-on-AI companies achieve value?

Speed to execution: Apply AI to accelerate time to operational and business results by minimizing latency in decision-making and action.

Cost reduction: Apply AI to intelligently automate business processes, tasks, and interactions to reduce cost, increase efficiency, improve environmental sustainability, and ensure predictability.

Comprehension of complexity: Apply AI to improve understanding and decision-making by deciphering patterns, connecting dots, and predicting outcomes from increasingly complex data sources. 

Transformed engagement: Apply AI to change how customers and employees interact with intelligent systems to expand engagement via voice, vision, text, and touch.

Fueled innovation: Apply AI to generate deep insights on where to play and how to win, enabling the creation of new products, market opportunities, and business models. 

Fortified trust: Apply AI to secure one’s brand from risks such as fraud, waste, abuse, and cyberintrusion, consequently assuring stakeholders and enhancing confidence amongst customers.

AI is important because it can help solve complicated issues in various industries, such as entertainment, education, health, commerce, transport, and utilities. AI applications can be grouped into five categories:

• Reasoning: The ability to solve problems through logical deduction. e.g. financial asset management, legal assessment, financial application processing, autonomous weapons systems, games

• Knowledge: The ability to present knowledge about the world. e.g. financial market trading, purchase prediction, fraud prevention, drug creation, medical diagnosis, media recommendation

• Planning: The ability to set and achieve goals. e.g. inventory management, demand forecasting, predictive maintenance, physical and digital network optimisation, navigation, scheduling, logistics

• Communication: The ability to understand spoken and written language. e.g. real-time translation of spoken and written languages, real-time transcription, intelligent assistants, voice control

• Perception: The ability to infer things about the world via sounds, images, and other sensory inputs. e.g. medical diagnosis, autonomous vehicles, and surveillance.