Speaker: Mark Moyou, PhD., Senior Data Scientist at NVIDIA
Watch the Session: https://app.knowmia.com/2shu
Session description: The upsurge and implementation of digital technology has been shown through research to lead to substantial improvements in a company’s operations and corresponding market strategy impacting shareholders' wealth. New technologies such as distributed networks, the internet of things, artificial intelligence, data science, cryptocurrencies, are all factors that have influenced business strategies and have initiated a conversation about what the outlook of these technologies are, and the risks associated with them. Specifically, with a high influx of machine learning, AI is a strong contender in that is has the ability to improve companies at a more effective rate due to the evolving AI strategy and data driven culture which has shown to increase a company’s competitive edge as they grow. How do these risks compare to current organizational structures? This engagement in technology is generating power and leadership in a space that is shown to be fairly new and turbulent. To understand how to mitigate the risks there must be regulation, which raises questions about the market and regulation. Decentralized finance is demonstrating itself to be a prominent factor in the way it has already begun to impact the market in certain pockets and is presenting a path for which self-regulation can build on. Understanding the market through a decentralized finance lens may be vital in understanding how to mitigate risks as not only an individual but also as an organization. Lastly, this panel seeks to juxtapose the organizational factors which impact current and decentralized autonomous organizations to gain further insights into the benefits and pitfalls of the transformation enabled by digital technologies.
Bio: Dr. Mark Moyou is a Senior Data Scientist at NVIDIA on the Retail, Higher Education and Research (HER) team focused on enabling scalable machine learning for the nation's top Retailers, Universities and Research Institutions. Before NVIDIA, he was a Data Science Manager in the Professional Services division at Lucidworks, and Enterprise Search and Recommendations company. Prior to Lucidworks, he was a Data Scientist at Alstom Transportation where he applied Data Science to the Railroad Industry. Mark holds a PhD in Systems Engineering where his machine learning research focused on 2D and 3D Geometric shape matching and retrieval, object detection in video streams, anomaly detection in IP