Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Data Management and AI Automation Tools Are the Top Investment for Financial Firms, Broadridge Survey Finds

Investing in technology to better optimize data and modernize data management are the top priorities for financial services firms according to new research by global Fintech leader, Broadridge Financial Solutions, Inc. The research was compiled from a survey of 200 financial services professionals, conducted at the recent SIFMA Operations Conference in May 2022.

With as many as 98% of respondents’ companies investing in their front-to-back-office workflow management, more than one-quarter (27%) of respondents cite data management tools as their firm’s priority investment. In addition to data management, firms are also investing in AI and automation (23%), more human capital (13%), cloud-native capabilities (10%) for uniformity, and blockchain technologies (8%) to improve overall efficiencies.

Recommended AI News: Pega Launches Pega Process Extender for Salesforce Lightning on Salesforce App Exchange and Pega Marketplace

“In today’s rapidly evolving world, an optimized workflow is crucial and good clean data is key,” said Vijay Mayadas, President of Capital Markets at Broadridge. “And yet, firms are drowning in the complexity of managing and simplifying data without the technology and digital infrastructures in place to support its management, stifling transparency, agility and growth.”

Optimizing and contextualizing data can lead to better data management and streamline internal workflows. However, 94% of firms are facing challenges around effective data use. Legacy or outdated technology stands out as the biggest hurdle that firms face (27%), followed by poor data quality (23%).

Related Posts
1 of 41,115

After a year of job-hopping and “The Great Resignation,” it comes as no surprise that firms are also having a hard time finding the human capital to effectively leverage data. Nearly one-fifth (19%) say they’re experiencing an inability to quickly test, onboard, validate or maintain datasets.

Recommended AI News: Tyson & Blake makes Follow-on Investment in StrongRoom AI “SRAI”

The research found that more than half of the attendees (57%) confirmed their firms still have progress to make before they reach the advanced stages of their innovation and technology efforts.

“We hear from clients and the survey findings highlight how firms are overwhelmed with the amount of data and limited in how to use it,” said Mayadas. “By assessing ones tech stack and partnering with trusted providers, firms have the opportunity to maximize the capability of their data and improve their workflow management.”

Recommended AI News: Datanomix Announces Automated Downtime Insights

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.