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.

Paul Camuto
https://www.linkedin.com/in/pcamuto/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q