Transformational Analytics for Capital Markets

SparkBeyond Discovery

Accurate early signal forecasting ensures accurate risk assessment, and opens up difficult-to-score market segments – driving valuable new revenue streams that maximize ROI and boost portfolio performance.

Scale credit forecasting for faster buy/sell decisions

Use public and proprietary data to identify factors influencing bond credit downgrades in the medium to long term, predict transitions at scale, and utilize model outputs versus benchmark index for high yield securities.

Limit risk exposure with real time scoring

Accelerate entrance into new markets by applying accurate risk assessment to traditionally difficult-to-score market segments and streamlining decision-making for more traditional customer segments.

Stay on top of market trends

Apply trend analytics to uncover millions of hypotheses, and exploit the ability to fail fast when examining cross-asset class effects on the target. Augment quant research teams to discover novel features for trading strategies and rebuild existing models.

Strengthen your defence against fraud

Predict and detect fraud, money-laundering and market abuse by analyzing multiple datasets for anomalies and subtle signals. Identify cohorts of exposed individuals to ensure mitigation of risk to the bank and individuals.

Nasdaq: AI’s Role in Digital Transformation for Financial Services

In a world economy overshadowed by the fallout from Covid-19, banks and the FSI industry as a whole are looking for ways to remain relevant, solvent, and at the forefront of clients’ minds. They must do this whilst not being seen as the ‘bad guys’ of the world economy. So far they have managed well. As we look to the future, and the possible shocks yet to come, what role has AI got to play in this mission and the broader digital transformation needed to ensure these organisations stay stable and continue their growth?

Democratizing AI for Data Science

Artificial Intelligence will play a key role in the future of data science, technology, and business, and this intelligence must be accessible to those who want it.

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Applications for SparkBeyond Discovery in Capital Markets

Demand Forecasting

Analyze enormous volumes of various data to forecast demand, supply, quality issues, and market trends.

Risk scoring

Personalize credit decisions while minimizing risk and exposure.

Fraud

Analyze anomalies and subtle signals in large amounts of data to identify criminal activity.

Banking the unbanked

Tens of millions of people are excluded from 150 years of financial innovation. A more granular understanding of risk allows banks to serve those who have never been served before, to the benefit of all.

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Generative AI for data analytics: the future of enterprise sense-making

In the case of enterprise data analytics, generative AI will radically change the way we interrogate our data to explore, react to and shape our business realities.

Generative AI for data analytics: the future of enterprise sense-making

New data models for a new world

Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.