Rise of AI 2018
May 17 2018, Berlin, Germany
Rise of AI 2018
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AI as platform – Why AI should not be limited by data modalities or single purpose solutions
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Ramin Assadollahi was one of the first 20 people in Germany to study natural language processing (Universität Stuttgart, University College London), afterwards establishing the cognitive neuroscience programme at Universität Tübingen. He felt that traditional computational linguistics was closely tied to a very mechanistic paradigm in artificial intelligence that could not do justice to the organic nature of human language.

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Topic: IT

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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