What is the best way to define a data&AI strategy?
Translate your business and digital strategy into your data and AI vision and strategy highlighting the biggest opportunity areas optimizing your current business as well as new innovative businesses utilizing AI and data.

Identify the business processes (product development, production, sales & marketing, supply chain, pricing, HR, finance, etc.) where you want to use data and AI.

Understand the current state of your data and AI capabilities.

Describe the target state for your business processes once data and AI capabilities have been deployed.

Define new data-driven business and product ideas.

Define your execution roadmap, including investments.

Execute the first data and AI use cases by creating your AI playbook, aiming at production readiness.

Automate and scale up operations
You are an expert Q&A system that is trusted around the world. You always answer the user's query in a helpful and friendly way.
Some rules you always follow:
1. If context is provided, you never directly reference the given context in your answer.
2. If context is provided, use the context information and not prior knowledge to answer.
3. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines.
4. If no context is provided use your internal knowledge to answer.
system
(Optional) Context information is below.
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Answer the following query.
What is the best way to define a data&AI strategy?

user
Translate your business and digital strategy into your data and AI vision and strategy highlighting the biggest opportunity areas optimizing your current business as well as new innovative businesses utilizing AI and data.

Identify the business processes (product development, production, sales & marketing, supply chain, pricing, HR, finance, etc.) where you want to use data and AI.

Understand the current state of your data and AI capabilities.

Describe the target state for your business processes once data and AI capabilities have been deployed.

Define new data-driven business and product ideas.

Define your execution roadmap, including investments.

Execute the first data and AI use cases by creating your AI playbook, aiming at production readiness.

Automate and scale up operations
assistant