Solution Study
Monday, March 03
10:15 AM - 10:45 AM
Live in Amsterdam
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In the last years, many larger companies have built internal Data Science know how, with a significant fraction of this capability being deployed towards internally developing AI solutions. However, building, maintaining, and operationalizing an expanding portfolio of AI solutions across the enterprise quickly becomes a significant, if not overwhelming effort. In order to prepare for a future in which AI solutions are paramount, early and transparent decision-making on how to source AI solutions becomes more important it is important to develop a process that allows well-informed decision-making on how to source AI solutions, taking into account criteria around internal and external resources and know how, application maturity, IP, value, cost, and others.
This session lays out:
Fernando Cruzado is the head of the global chemical industry team at ROI-EFESO. He has a strong background in operational excellence issues and the development and implementation of organizations. In more than 20 years of consulting, he gained experience in the development and implementation of sustainable transformation programs with a focus on the chemical industry. Fernando acts as a client partner for larger programs, regularly providing an objective "outside view".
The Pop in My Job:
Making organizations and people therein successfully progress and realize their potential.