Solving ML journey challenges
At this point, you should have a good understanding of key ML maturity dimensions including technical, business, governance, and organizational and talent, for the successful adoption of AI/ML. Next, let’s delve into the key steps needed to establish some of these AI maturity capabilities and solve some of the key challenges faced along the ML journey, starting with creating an AI vision and strategy.
Developing the AI vision and strategy
To develop an AI vision and strategy, an organization should first define the purpose and scope of the AI vision. The vision should explain why an organization is pursuing an AI strategy and what business values it hopes to achieve. For example, the vision for a customer support organization in a bank might be to transform its business operations and improve customer experience using AI; a pharmaceutical company might have the vision of using AI to streamline the drug discovery process and improve patient...
