THE USE OF DATA AND AI IN BUSINESS
Technology enables us to do what we want. Business development doesn't disappear with the advent of artificial intelligence. We help your company leverage data and AI to enhance decision-making and business processes, improve the customer experience, and ultimately drive better business outcomes.
Are you considering what all can be achieved with data and AI, and how to proceed with it? Instead of focusing on technology, start with your business strategy. What are you trying to achieve in your business, and how can data and AI help you reach your strategic goals? Technology is just one perspective in the whole picture. The changes brought by AI affect the entire organization and its culture. The role of human-centric business development becomes even more emphasized.
How can we help?
The first challenge that companies often face is that data is not available. Data is scattered across each system and has not been collected in one place. There are also issues with the quality of the data, making it unusable. When data is available, the next challenge often becomes what to do with it and what are the concrete use cases for leveraging it in decision-making. For artificial intelligence to function, it requires data. While AI can improve productivity, its utilization demands an understanding of existing processes and the identification of use cases. Radical innovations can be achieved by building custom language models.
How to proceed?
Start
Productivity leap
Modeling of current selected processes
Conceptualization and definition of data and AI utilization use cases
Engaging employees and management through interviews/workshops
Concrete actions listed
Price: Request a quote
Duration 2-4 months
Silver
Innovation with data
Conceptualization of data-driven business models and services
Monetization of data, how to turn data into business?
Engagement of stakeholders
Price: Request a quote
Duration 3-6 months
Gold
Data and AI strategy from start to finish
Current state analysis, where the organization is now and what its capabilities are
Engagement of employees and management
Strategic choices
Presentation materials
Planning the implementation of the strategy with OKR model
Supporting and implementing the change
Price: Request a quote
Duration > 3 months
More About the Topic
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Conceptualization of a data-driven segmentation model and definition of business requirements
Conceptualization of data-driven predictive models and definition of business requirements
Creation of a data strategy
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Read more abou the case example
Jenni Saarenpää/CEO
jenni@digitalrebel.fi
+358 45 868 4790
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