When it comes to the task of implementing Artificial Intelligence at your company, project owners usually have highly specialized and complex solutions in mind, which are geared towards a single purpose. Therefore a critical point of learning systems often is missed: how do you make sure it can contribute beyond the purpose of today and be part of yet unknown solutions for tomorrow?
For a company-wide AI approach it is vital to build up the fundamentals of a corporate knowledgebase today, that aren’t limited to specific data modalities or business units. Generic AI platform solutions, which can be applied to a wide variety of business cases today, can help raise acceptance, accessibility and RoI of AI in organizations at large.
In his talk, Ramin Assadollahi will address how a universal AI architecture and component approach will help to overcome boundaries and build learning platforms for data analytics and the creation of new business cases across different segments. Furthermore Ramin will shed a light on how AI and the hype around it can fully arrive in company environments with the help of unified solutions and provide use cases from automotive, health and finance.
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