Data and analytics have climbed to the top of Wall Street’s wish list. Together, they promise to transform the way investors view the market, cutting through dense information to uncover new sources of returns unseen by top-down stock picking funds.
The data governance necessary to comply with the GDPR will likely prove helpful in advancing an information governance program’s ability to move toward automation of its policies and procedures.
As more women take on fintech roles at almost every level, their influence is driving user-centric product design and rapid development timelines.
The transition to becoming a data samurai will require new skills and responsibilities that may be unfamiliar to many data analysts.
The regulatory-driven origin of CDOs creates certain challenges as the scope of the role evolves and expands.
Only a UG program can create unified frameworks, reduce the risk associated with how data is accessed, and maintain compliance in a systematic way. What do the main functional elements of a UG program include?
"Regardless of whether a company is in a sector where the disruptive potential is lower and adoption is likely to be slower... no sector or business is in any way immune from the impact of AI."
It didn’t take long for CDOs to grasp that data could identify efficiencies that reduced expenses, or even generate revenue by using its insights as a product.
A snapshot of how central bankers around the world have set up or are creating departments to embrace big data in the quest for deeper insight into the economies they manage.
While the word “data” leads people to think of new high-tech approaches such as analytics, machine learning, natural language processing and artificial intelligence, it’s worth remembering that the financial industry has always been based on it.