Quantum computing and data science for IT? with Devin Chatterji
The Data Standard
Episode Summary
Quantum computing and machine learning are not a match made in heaven. But in the world of humans, opposites do attract, and similarly, both these sciences requiring completely different backgrounds and skills are intrinsically related when it comes to driving futuristic technologies. Of course, the extent of influence that quantum computing will have on AI remains an open question. Still, most experts believe quantum computing will alter AI significantly in the times to come – probably even make it more humane and efficient.
Machine learning and artificial intelligence have emerged as two key areas of research for applying quantum computing algorithms. The natural synergies between the two fields could change the future of data science in several ways, which are discussed in this episode.
Meet The Host
Catherine Tao
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Devin Chatterji
Predictive Analytics Consultant at LeSalle
Devin is an experienced Data Scientist and Professor of Analytics, currently consulting on digital transformation and advanced analytics. He has experience in creating and leading data science and advanced analytics teams in the IT, healthcare, and cybersecurity domains. With over 12 years of experience in analytics and expertise in strategic planning, cross-functional collaboration, and continuous improvement, Devin has a clear understanding of how Data Analytics contributes to the success of the enterprise. Devin also has knowledge of quantum computing and quantum technology, particularly as it relates to cybersecurity. Additionally, he has experience in quantum technology risk analysis and presenting those findings at the executive level.
