Artificial Intelligence (AI) has evolved substantially from being a technology buzzword, to the commercial reality that it is today. Companies with an expertise in machine learning (ML) are looking to evolve to create AI-based solutions. Progressive enterprises that are yet to implement a ML learning culture are now aiming to devise their strategies.  Amidst all this hype around AI, and the fear of being left behind, how do you go out about implementing an AI transformation strategy quickly across your company? 

There are numerous challenges in establishing an enterprise AI transformation strategy, and I have aimed to encapsulate them under three main headings. Talent is the first challenge. Organisations need to hire, train, assemble and partner with the right expertise. A team of talented individuals that are capable of driving the AI transformation needs to be created and utilised fully. The second challenge is Time. It is essential to assess how fast you can achieve business results by implementing the AI strategy and create an environment where people can fail fast. Trust in your AI technologies that are underpinned by machine learning models is the final challenge.  The ability to explain the results of your ML models to regulators and stakeholders is key for drive mass adoption of the underlying technologies.