How can we build new products and services that respond intelligently to users and their contexts? Many organizations are aware that while AI technology can offer unique features to a product, the understanding of its potential role in the prototyping and development of new offerings is limited. Yet the ready availability of AI technologies — such as high-level machine learning frameworks, pre-trained models, and cloud computing infrastructure and services — makes it easier than ever before to quickly move from initial concept to a sophisticated prototype.
The challenge for designers is to understand where AI can contribute most effectively in this process while avoiding common pitfalls. Potential obstacles include limited availability of relevant data, the effectiveness of models when deployed in the real-world, and the risk of reaching for an AI toolkit before the business model is clear.
Ultimately, the best solutions are likely to come not from technology alone, but from an agile collaboration between data scientists and designers with a strong focus on iteration and the integration of diverse stakeholders.
DAIN Studios are known for their use of cutting-edge machine learning tools to analyze data and develop businesses. With a wide range of expertise, they are uniquely placed to offer insights into how machine learning can be used to benefit the population.