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Big Data & Artificial Intelligence-augmented investing
Consumer Credit | Asset Backed Securities | Residential & Commercial Real Estate Securities

Venn Diagram

At Krivi, we firmly believe that the world of investment management is seeing a fundamental shift towards a big data and artificial intelligence augmented approach.

90% of the world's data was generated over the past two years. Asset management firms that are able to stay ahead of this data deluge and build data-driven insights into their investment frameworks will come out winners in the future.

Portfolio Management

The paradigm shift would necessitate the need for portfolio management that can combine investment nous with the ability to navigate and analyze big data using the latest web technologies and artificial intelligence techniques.

Better Performance

As we demonstrate on our website, combining financial data with data from non-traditional sources and deploying latest machine learning & deep learning algorithms can lead to the construction of more efficient investment portfolios.

Lower Fees

An artificial intelligence/big data-driven approach will also improve the economic viability of investment management businesses in a lower fee world. Machines will help managers improve their productivity, helping sustain larger scale at lower cost.

Structured finance, with its abundance of asset and loan-level data provides a ripe opportunity. At Krivi, we are combining more than a decade of successful investment, research and modeling experience with big data analytics and machine learning to generate critical insights in sectors as diverse as consumer credit, commercial real estate, residential real estate and mortgage prepayments.

See our peer-to-peer lending case study