TECHNICAL VISION TALK
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Daphne Coller: Machine Learning: A New Approach to Drug Discovery (WiDS @ Stanford Talk)
TECHNICAL VISION TALK
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Anita Kloss-Brandstätter: Applications of Data Science in Medicine and Health Care
KEYNOTE TALK
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Many applications of AI/ML, like NLP, computer vision or predictive analytics, have long passed the hype phase and have already reached maturity. Nevertheless, many organisations still struggle with adopting, implementing, deploying and, finally, integrating AI solutions into their daily business. This phenomenon is the result of multiple influencing factors that range from organisation to business and technologies. In this talk, I want to highlight the current challenges in productizing AI solutions and how you could potentially tackle them.
PANEL DISCUSSION
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Following the insights given at Hilda Kosorus talk, we will discuss the main challenges and pitfalls in productizing AI solutions in diverse environments. Do the obstacles differ dependent on the application area? Beside technical challenges, what else do we need to consider?