AI Dynamism - An Introduction

Organizations across the world have tried to adopt model business design and organization structures as per changing business and economic situations. These models were largely static or semi-dynamic at best.

As AI continues to accelerate at a dramatic pace, many businesses may find it extremely difficult to survive the rapid disruption that will eventually harm their business, weaken their balance sheets and leave them dangerously exposed to technology-savvy companies.

These companies need to adopt a dynamic model that allows them to be in a state of flux and adopt a BAT (build and tear) approach as they continue to navigate growing their business in the AI economy

We will briefly explore what these models are and how CxOs and managers can deploy dynamic AI organisational models for increased agility and extreme competitiveness.

Artificial Intelligence, Leadership, Strategy, Business Design, AI Economy, Data Governance, Data Privacy, AI Ethics, AI Regulation, Data Analytics, Data Analytics, AI Platforms

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