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From references of Mechanical men and artificial beings in Greek myths, such as the golden robots of Hephaestus and Pygmalionu2019s Galatea, the Antikythera to realistic humanoid automatons built by craftsmen from diverse civilizations, including Yan Shi, Hero of Alexandria, Al-Jazari, Pierre Jaquet-Droz, and Wolfgang von Kempelen to the discovery of Leonardo Da Vinciu2019s complex sentient machine diagrams, one thing has remained constant: Artificial intelligence has always piqued societyu2019s interest.
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1. AI is a part of everyday life now. Smart speakers, facial recognition, and autonomous cars are fast becoming a reality. Rapidly evolving customer preferences are driving a digital transformation across enterprises.
2. Some of the key business outcomes of AI are: Contextualizing and enhancing customer experience. Improving operational efficiency. Developing and deploying new digital business models.
3. Challenges that will be faced during this digital shift are: An outcome bound roadmap that the organization aligns to. Scaling up new AI capabilities. Operational insights for better decision making across the organization. Showing incremental ROI for AI investments over existing data and analytics investments. Creating synergies among technology, capabilities and process reengineering investments.
4. Future of AI Development of Artificial General Intelligence that can perform intellectual tasks on its own. Enterprises are increasingly incorporating AI-powered analytics and machine learning. IoT based devices are being used in personal and professional capacities.
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