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Home > Resources > Whitepapers > Demystifying Machine Learning for Banking
January 18, 2018
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TMX Group is an integrated, multi-asset class exchange group. TMX Group's key subsidiaries operate cash and derivative markets and clearinghouses for multiple asset classes including equities, fixed income and energy...
whitePaper | May 23, 2022
The need to accelerate the journey to financial operations excellence has seen the emergence of packaged, purpose-built Financial Operations Management solutions to elevate persistently manual processes that are ripe for transformation. They typically include workflows and automation, intelligence, analytics, and collaboration. These are all proven to deliver predictable returns, from speeding up the close, to reducing DSO, to streamlining netting and settlement processes. A purpose-built approach accelerates delivery and reduces delivery risk while realizing predictable returns on investment.
whitePaper | November 22, 2019
Banks seem to be adopting AI applications ranging from business process automation to credit scoring. Historically, banks have collected vast amounts of data records and even some of the more conservative banks tend to have the resources needed for AI projects. Efficiently navigating the vast data stores to gain valuable business insights involves understanding the capabilities of AI in information search and discovery applications for the banking sector.
whitePaper | October 26, 2022
They claim that financial services institutions (FSIs) fall short in several areas, including anticipating needs, prioritizing financial wellness, and enabling customers to control their data.
whitePaper | February 1, 2020
Traditional financial services firms around the globe — banks, insurers and asset managers — need to embrace both digital transformation and data privacy simultaneously to thrive in the coming decade. These two objectives are deeply intertwined because the success of digital transformation programs is highly dependent on an organization’s ability to engage with personal data, including data privacy compliance and ethics issues.
whitePaper | July 1, 2022
The rapid shift to digital-first engagement, remote work, and changing consumer preferences has launched customer service into a new era, with the financial services industry impacted in various critical ways. This trajectory is only accelerating as a host of factors - including customer behavior, industry dynamics, workforce needs, and technology trends - simultaneously require and support service organizations in rolling out new strategies and systems.
whitePaper | March 22, 2023
It’s been said that “history doesn’t repeat itself, but it often rhymes.” The adage certainly applies to banking crises in the US: every crisis, however unique the cause, has typically been followed by a new wave of regulations. This trend is likely to continue in the wake of the current crisis. In fact, reporting from the Wall Street Journal and other sources indicates that the Federal Reserve and other banking regulators are already in discussions about changes to the US regulatory regime, especially for midsize banks.
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