The Data Standard
Digitization in the finance industry has enabled technology such as advanced analytics, machine learning, AI, big data, and the cloud to penetrate and transform how financial institutions are competing in the market. Large companies are embracing these technologies to execute digital transformation, meet consumer demand, and bolster profit and loss. While most companies are storing new and valuable data, they aren’t necessarily sure how to maximize its potential, because the data is unstructured or not captured within the firm. As the financial industry rapidly moves toward data-driven optimization, companies must respond to these changes in a deliberate and comprehensive manner. Efficient technology solutions that meet the advanced analytical demands of digital transformation will enable financial organizations to fully leverage the capabilities of unstructured and high-volume data, discover competitive advantages, and drive new market opportunities. In this episode of The Data Standard, Paul Camuto, VP of Data and Integrations of Broadridge, reflects on how data in the financial services industry has evolved over the past few decades.
Meet The Host
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
Data & Analytics Product Management Wealth at Broadridge
I am seasoned 15+ year financial services technology product, marketing and wealth management strategy executive with an MBA in Global Business & Management and a Bachelor degree in Information Technology. As a proven leader, I am able to motivate a team and be a hands-on contributor as well. I have been the head of product development leading a transformation of product conception to customer delivery.