In the previous section we saw that within operational readiness Data management is needed to optimize the use of data and maximize the benefit to the organization. Instead of trying to optimize the multitude of data sources on their own we discussed that it would be better to optimize the business process management which creates… Continue reading ERP Software as a mean for operational readiness
As we saw in the previous section, operational readiness includes many areas of your business which are not related to IT or data at all. But for today we want to focus on data management. According to oracle, Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. The goal… Continue reading AI Readiness: Data Management
Above we looked at Professor Malone’s four level of collaboration and saw that you can use A.I. as a tool, an assistant, a peer and a manager. We assumed also that we would buy the A.I. application and run it via a cloud provider. However, when you want to make your own A.I. application, the… Continue reading AI Readiness: Operational Readiness
In the text above we saw that A.I. readiness is the “Extent to which a business has the ability to improve the VOC, VOE or VOB by using A.I.”. And according to Intel you can separate it into three dimensions: transformational readiness, organizational readiness and foundational readiness. If you are the CEO of a company,… Continue reading AI Readiness: Levels of collaboration
Everyone talks about A.I., but when you want to do it, it seems harder than you might think. Over time many people realized that a company has to fulfill certain criteria to be able to do A.I. projects. Thus the term A.I. readiness was coined. Capgemini defines A.I. Readiness as “Extent to which a country… Continue reading What is A.I. Readiness and how to achieve it?