In order to have a holistic, unbiased understanding of a company’s investment profile, asset managers must build their views from both traditional unstructured data sources such as brokerage reports, news and corporate filings, as well as nontraditional data sources such as trade journals, social media, and earnings/corporate transcripts. Due to the text-heavy, undefined information in these sources, critical information is easily hidden and often overlooked which can impact their investments. Portfolio managers, analysts, and risk managers must broaden their peripheral views to monitor exposures on companies’ current and emerging events to make strategic investment decisions and manage potential risks.
Accern is a no-code AI platform that enables teams at financial organizations such as asset management firms and capital markets to easily build machine learning models that uncover signals and trends from unstructured data sources for better risk and investment decisions — to reduce operational costs and time to value while increasing operational alpha. Teams use Accern to build and deploy Natural Language Processing (NLP) and Predictive models, specifically trained for financial use cases, to automate processes, uncover hidden market signals from the data (in equities, industries and markets), and inform better, sustainable investment decisions – faster and more accurately than before.
Asset management firms that use Accern’s no-code AI platform retain and attract customers, cut operational costs, and generate better risk and investment insights. Internally, teams can become more productive using our ready-made use cases specific for finance. With Accern, you can create custom taxonomies to monitor ESG regulations (such as SFDR), track ESG behaviors and macro economic trends, detect portfolio risk, and analyze financial filings — just to name a few.