Gateway

Research & Applied AI Insights.

Practical thinking on quantitative analytics, data science, machine learning engineering, data platforms, and AI workflow design.

Featured Research

Production ML
FEATURED RESEARCH
DECEMBER 15, 2025

Transformer Models in Financial Risk Assessment

How transformer architectures can support credit risk assessment, sequential behavior modeling, and more interpretable decision support.

Data Platform
FEATURED RESEARCH
DECEMBER 8, 2025

Modern Data Engineering: Building Scalable Real-Time Analytics Platforms

How modern data engineering choices determine whether analytics, experimentation, and AI workflows are reliable or fragile.

Recent Insights

Forecasting
INSIGHTS
NOVEMBER 28, 2025

LSTM vs Transformer Networks for Energy Demand Forecasting

How time series models, uncertainty estimates, and decision thresholds can support finance, operations, and demand planning.

Anomaly Detection
INSIGHTS
NOVEMBER 15, 2025

Unsupervised Anomaly Detection in Financial Transactions

A guide to using autoencoders, isolation forests, and human review workflows to flag unusual activity without overwhelming teams.

Graph Analytics
INSIGHTS
NOVEMBER 5, 2025

Graph Neural Networks for Enhanced Customer Analytics

How relationship-aware modeling can improve recommendations, lifetime value prediction, and customer segmentation.

Document AI
INSIGHTS
OCTOBER 22, 2025

Large Language Models in Insurance Claims Processing

Patterns for applying language models to review, summarize, route, and validate complex business documents.

How We Think About Research

Practical Rigor

  • • Baselines before complexity
  • • Evaluation metrics tied to business cost
  • • Out-of-sample testing and monitoring plans
  • • Clear assumptions and failure modes
  • • Reproducible workflows where possible

Delivery Perspective

  • • Architecture and adoption considered early
  • • Human review for high-stakes decisions
  • • Data quality and lineage treated as model inputs
  • • Governance appropriate to the use case
  • • Documentation built for handoff and ownership

Have a topic you want to explore?

If you are evaluating a data, ML, or AI initiative, we can help frame the technical options and implementation risks.