Although many organisations are working on data science, the DDMA AI Maturity Test has revealed that only 10% of them have multiple AI applications in production. Organisations are able to predict which customers are the most likely to cancel and they know which products to recommend to who. They can also determine call centre staffing levels using sophisticated forecasting models. However, it is not always easy to identify what the best next step in the deployment of Data Science should be for your organisation and in your context, or how you should set it up in an end-to-end manner.
During this Digital Talk, you will learn how to generate marketing impact at different stages of your data strategy development. We do this based on an article we have written on several basic principles and the trinity of people, process and technology, supplemented by two speakers who will explain their own end-to-end use cases in the field of marketing.
What will you learn on 25 May:
• Summary of the main findings of the AI maturity test that was conducted by the DDMA AI committee, providing background on the state of AI in the Netherlands.
• How to maintain focus on the result
• People: from knowledge and competencies of individual analysts to the organisation of data teams
• Process: application of the six process steps of discovery, alignment, data preparation, modelling, testing and deployment
• Technology: various technical possibilities from ‘No Code’ such as KNIME, Dataiku out of the box APIs such as Google Recommendations AI, applying ML with SQL to languages such as Python and TensorFlow
• The role of senior management in the change process
• How to teach non-analytical teams how to benefit from the models
• How to focus on customers instead of products
• How to reduce vendor lock-in by adopting public cloud as the centre for data and analytics
• How to implement an end-to-end process to provide customers with recommendations
• How to use consumer data to make AI-driven recommendations