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As your organization grows, it will produce more and more data. Just as having an effective data strategy will make sure that information growth can be properly managed, an effective AI strategy will make sure that that information growth translates to business value.
Achieving the level of customization, personalization, and operational efficiency necessary to compete in an increasingly fast-paced, digital environment is top of mind for nearly every business executive in any industry.
By now, many recognize artificial intelligence (AI) as a critical enabler in these pursuits. They’ve begun to envision a bold AI-powered future where AI helps, for example, retailers deliver individualized products before customers even request them or manufacturers customize products on demand and deliver them the same day via small, local factories that reside in every city.
Start with your AI strategic use cases
- Developing more intelligent products.
- Developing more intelligent services.
- Making business processes smarter.
- Automating repetitive business tasks.
- Automating manufacturing processes.
Your AI strategy will help you to focus on your core business objectives and prioritise ways that AI can help deliver those business goals. In general, there are two ways businesses are using AI to drive success: Creating intelligent products and services. Designing intelligent business processes.