3rd Annual Quant/Financial Engineering (Virtual) Conference
Regions’ Head of Model Risk Management & Validation speaks to data scientists about the importance of modernizing model risk.
Sri Krishnamurthy, who founded AI advisory firm QuantUniversity and plans to submit a proposal to the NIST solicitation.
How financial institutions are tackling the problems with black box ML
Introduce Algorithmic auditing and discuss why Algorithmic auditing will be a formal process industries using AI will need
Join Fintech leaders and D’Amore-McKim faculty and alumni as they share their perspectives on tokenization, blockchain, cryptocurrency, payment innovations, and more.
At the AI in Finance Summit, NY, in December 2020, we had a panel discussion on the state of responsible AI.
Bring clarity on some of the data and model governance challenges when adopting data science and AI/ML processes in the enterprise.
More emotionally intelligent computers could help bridge the gap caused by social distancing.
An interview covering some of the basic terminologies and charting a map of the AI-driven landscape.
The potential and application bandwidth of AI/ML in Financial Services is breathtaking.
An overview of the current state of applied machine learning and artificial intelligence for risk modeling and how it can be applied for monitoring risk and building new risk models.
What do traders, data scientists and tech professionals need to know to get hired, avoid getting fired and get promoted?
Boston credit union offers financial sector startups mentorship services and free co-working space.