Leading enterprises have invested significantly in Artificial Intelligence (AI) technologies in recent years. They have introduced products that disrupt the way we perform our daily tasks or carry out our professions.
Apple introduced Siri that promises to understand and execute voice instructions, Google released Google Now which analyses user habits and daily patterns to proactively display relevant information according to the user’s presumed interests; Microsoft pursues similar goals with Cortana, and Tesla released an autonomous driving software to its clients recently.
Nevertheless, a few questions remain unexplored. What are the cognitive technologies able to achieve? What are the limitations and threats that come along?
This presentation intends to provide a pragmatic assessment of these challenges by confronting the hype around AI with reality.
The presenter aims to open up the black-box of AI by discussing the technology’s genesis and following evolution while highlighting the fundamentals. He will provide applications of AI systems in various industries from Financial Services to Industry 4.0 to illustrate its value proposition. Further, he will scrutinize the technology’s idiosyncrasies as well as its typical applications.
In this spirit, common misconceptions shall be resolved while potential societal implications will be investigated. Against this backdrop, the presenter will showcase the ambiguity of Machine Learning on tainted data. He will present the modern theories and concepts that attempt to justify such phenomena.
The presentation shall close with an exchange of personal standpoints and a discussion about work ethics in AI-related socioeconomic projects.
The presentation will be followed by a networking cocktail.