Transformational Analytics for Risk

SparkBeyond Discovery

Increase decision accuracy with individualized risk scoring that’s transparent, compliant and minimizes exposure.

Deliver personalized credit decisions.

Treat customers like people with individualized risk assessments, based on unique properties instead of group-based averages.

Create low-touch, low friction products.

Develop new processes to support agile underwriting, non-intrusive claims handling, and intuitive customer interaction.

Automate thin-file risk scoring.

Expand market share by including customer segments that don’t conform to traditional assessment criteria.

Break away from actuarial tables.

Instead, draw upon external data sources to provide underwriting decisions and pricing that reflect the specificity, nuance, and diversity in human life.

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Applications for SparkBeyond Discovery in Risk

Risk scoring

Personalize credit decisions while minimizing risk and exposure.

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Unleashing AI for impact across the insurance value chain

Unleashing AI for impact across the insurance value chain

Curated insights from MetLife, ErgoHestia, and Sompo, explore relevant case studies in which AI creates business value.

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.

Banking on AI: future-proofing financial services

Banking on AI: future-proofing financial services

How AI analytics helps you recognize and decipher the signals customers leave behind during their digital journeys.

Supercharge successful AI adoption in finance

Personalize credit decisions while minimizing risk and exposure.

Supercharge successful AI adoption in finance

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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.