Linedata Tech Talk: AI in Capital Markets
Speaker
Ashmita Gupta
Host
Callie Mathews
MIT CSAIL Alliances
Wednesday April 12, 12PM- 1PM, food & refreshments provided
Star Conf Room D463
In Person Registration: https://www.eventbrite.com/e/linedata-analytics-service-csail-tech-talk-ai-in-capital-markets-tickets-597115878667
Virtual Registration: https://mit.zoom.us/meeting/register/tJAlc-isqj8uEtJCCdA01NlG1eZb4FMYvjpM
Losses from operational risk events cost financial institutions tens of billions of dollars every year.
Throw in increasing costs to manage ever more complex financial operations, plus regulator demands to show that everything is running smoothly. All this, along with intense market competition means profit margins are shrinking.
While the adoption of Machine Learning in capital markets has traditionally been about generating investment alpha, these technologies including GPT models have produced welcome options for handling operational risk and generating efficiencies across the investment operations of financial firms.
In this discussion we walk through 3 scenarios where these technologies are helping Banks and Asset Management firms cut through the noise and improve decision making using data intelligence. This in turn is reducing risk, lowering costs, and generating operational alpha.
Speaker: Ashmita Gupta, Global Head of Business Intelligence & Analytics
Ashmita heads Linedata’s Business Intelligence & Analytics Service offering. She is passionate about helping clients solve operational problems and opening their teams to innovation by tapping into their data with AI/ML insights. Ashmita brings 14+ years of operational experience with hedge funds and investment managers along with her Data Science background. At Linedata, she manages a global team of data scientists, data engineers, and analysts who develop AI based proofs of concept and productionized solutions for clients in capital markets, wealth, trade operations among others. Previously she advised top-tier Hedge Funds and Asset Management firms on their front and middle office processes and implementations for Order and Portfolio Management systems. She has a BA in computer science, an MBA and is a CFA Charter Holder.
Wednesday April 12, 12PM- 1PM, food & refreshments provided
Star Conf Room D463
In Person Registration: https://www.eventbrite.com/e/linedata-analytics-service-csail-tech-talk-ai-in-capital-markets-tickets-597115878667
Virtual Registration: https://mit.zoom.us/meeting/register/tJAlc-isqj8uEtJCCdA01NlG1eZb4FMYvjpM
Losses from operational risk events cost financial institutions tens of billions of dollars every year.
Throw in increasing costs to manage ever more complex financial operations, plus regulator demands to show that everything is running smoothly. All this, along with intense market competition means profit margins are shrinking.
While the adoption of Machine Learning in capital markets has traditionally been about generating investment alpha, these technologies including GPT models have produced welcome options for handling operational risk and generating efficiencies across the investment operations of financial firms.
In this discussion we walk through 3 scenarios where these technologies are helping Banks and Asset Management firms cut through the noise and improve decision making using data intelligence. This in turn is reducing risk, lowering costs, and generating operational alpha.
Speaker: Ashmita Gupta, Global Head of Business Intelligence & Analytics
Ashmita heads Linedata’s Business Intelligence & Analytics Service offering. She is passionate about helping clients solve operational problems and opening their teams to innovation by tapping into their data with AI/ML insights. Ashmita brings 14+ years of operational experience with hedge funds and investment managers along with her Data Science background. At Linedata, she manages a global team of data scientists, data engineers, and analysts who develop AI based proofs of concept and productionized solutions for clients in capital markets, wealth, trade operations among others. Previously she advised top-tier Hedge Funds and Asset Management firms on their front and middle office processes and implementations for Order and Portfolio Management systems. She has a BA in computer science, an MBA and is a CFA Charter Holder.