Preparing a company for machine learning involves several key steps. Firstly, a company must identify its valuable data and ensure it is stored in a way that is accessible for machine learning algorithms. This process often involves cleaning and organising the data into databases or data lakes. Secondly, the company must establish a data science team. This team should be equipped with the necessary skills and tools to work with machine learning, and they should be given the freedom to experiment and innovate.
Next, the company should establish a data strategy that identifies the key opportunities for machine learning within the business. This strategy should be supported by a culture that values data and understands its importance in driving business decisions. Lastly, the company should ensure that its infrastructure is capable of supporting machine learning. This might involve investing in new hardware or software, or upgrading existing systems.
In summary, to become machine learning ready, a company must value its data, establish a skilled data science team, have a clear data strategy, and ensure its infrastructure can support this new technology.
Go to source article: https://hbr.org/2016/11/how-to-make-your-company-machine-learning-ready