Financial Services

Reducing Costs and Strengthening Compliance with AI

SFL Scientific partners with the world's financial market leaders and emerging players to help them address their most significant business challenges, by leveraging AI and machine learning solutions.
Financial Services

Overview

SFL Scientific partners with you to develop and launch custom AI solutions for financial services around new operating models, development of new security and fraud measures, and help derive more value from your technology investments with the ultimate goal of cost savings and enhanced customer satisfaction.

Our Custom Strategy

Natural Language Processing

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Predictive Analysis/Time-Series

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Data Engineering

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USE CASES

Ai Use Case for Financial Services

SFL Scientific helps create AI/ML solutions in a competitive changing industry, arming asset managers and financial institutions with products designed to increase capabilities and efficiency in operations.

Investor Relations Modeling

Develop comprehensive models using historical stock trading data to determine how specific investors react to the launch of new drugs or expansion of market approved drugs.

Deep Learning

Satellite Image Analysis for Underwriting

Full automation of the classification and segmentation of desirable features in satellite image data (big images), e.g., roof condition, footprint, material type, vegetative overhang percentage, solar panels, etc. for 80% of US homes.

Deep Learning / Computer Vision

Call Center Optimization and Decision Support

Developed a keyword & topic modeling extraction pipeline to extract key trends of topic occurrence for case manager-customer phone calls.

Deep Learning & NLP

USE CASES

Machine Learning for Financial Institutions

Financial institutions are under immense pressure from government regulations, to the need to be customer-focused as well as focused on the bottom line. Data Science and machine learning can help assist or enhance products and services across the financial services spectrum. SFL Scientific helps clients realize the potential of AI, and all of its use cases as well as what would be most beneficial to your institution.

Real-Time & Predictive Analytics

Predictive analytics can be applied to a host of unstructured data, combining predictions from sentiment, traditional data sources, and models. Developing models for forecasts, market analysis, and trends, or simulating patterns.

Risk & Fraud Detection

Detect and prevent fraud e.g. transactions, credit card fraud, phishing) by leveraging advanced analytics to predict anomalies in real-time.

Sentiment Analysis

We apply natural-language processing, logic, text analysis, and summarization to examine media, documents, and external data to discover what folks really think.

People Powered from Data Management to Custom Solutions and Deployment

Financial institutions know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.

Our US-based team of data scientists, consultants, and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases, identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.

AI pipeline diagram
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We’d like to work with you to understand your unique AI challenge from modernizing legacy platforms to developing new AI solutions. Technology moves fast, let’s build sustainable solutions.

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