The current boom of interest in Machine Learning (ML) and Artificial Intelligence (AI) is not like the .com or crypto-currency revolutions where the technology-driven changes came from new business models and new routes to market. Within burgeoning AI, there are profound new propositions and successful disruptors. But the technical capabilities are often opaque, partially solved and depicted favourably by technologists that are highly partial. Investors need to know what can the business’s product development achieve given current and future capabilities.
We assess the health of the technical assets, the prevailing cultures and the effect of past and promised governance. Many metrics are measured and analysed over, typically, seventeen functions that are critical to AI product development. By understanding the technology and the development processes we can not only discover the feasibility, but also help predict the time of delivery and support the business in delivering on its potential.
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