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Michael Abramov

Michael Abramov

Curating Court Records for AI-Based Case Outcome Models

Curating Court Records for AI-Based Case Outcome Models

AI systems that analyze historical court records now predict case outcomes. Machine learning is now deciphering patterns. What started as basic statistical models now predict outcomes across jurisdictions. Quality matters most. Careful curation separates useful information from digital clutter. That's why it's important to check every

Using Gameplay Telemetry for Personalization Models

Using Gameplay Telemetry for Personalization Models

By analyzing patterns in gameplay telemetry, studios are now creating worlds that evolve with every decision. Complex systems process millions of data points from game interactions and turn the raw numbers into actionable intelligence. These models detect subtle changes in engagement levels, identifying early churn signals and predicting when players

Data Annotation for AI NPC Behavior & Pathfinding

Data Annotation for AI NPC Behavior & Pathfinding

Modern games are undergoing a real revolution thanks to AI - especially in how non-player characters (NPCs) are created, react, and evolve, as well as how their behavior and navigation in space are built. NPC behavior is based on prescribed scripts: the character patrols a specific route, responds to triggers,

Creating Datasets for Drone Navigation & Collision Avoidance

Creating Datasets for Drone Navigation & Collision Avoidance

The main goal of such datasets is to train the model to recognize obstacles, estimate distance, and safely plan a flight path. The most common types of data are images from cameras, which can be regular RGB, infrared, or stereo, allowing you to see the depth of the scene. Depth

Keymakr partners with Segments.ai to boost 3D point cloud annotation capabilities

Keymakr partners with Segments.ai to boost 3D point cloud annotation capabilities

Keymakr announces a strategic partnership with Segments.ai, a leading labeling platform designed for 3D point clouds and multi-sensor formats. This collaboration aims to streamline labeling workflows, enhance accuracy, and reduce the time required to prepare large datasets, a critical factor for autonomous driving and other industries relying on 3D

Curating Datasets for Underwriting and Risk Assessment with AI

Curating Datasets for Underwriting and Risk Assessment with AI

Combining traditional financial analysis with innovations such as autonomous vehicle safety modeling is changing data processing strategies. The shift from manual processes to automated solutions requires structured, validated information that delivers accurate predictions. Integrating machine learning accelerates analysis, but success depends on data preparation. Prioritize standardization and cleansing to reduce

Automated annotation for self-optimizing networks

Automated annotation for self-optimizing networks

Mobile networks today handle millions of signals every second. These signals include everything from user activity to system performance, and together, they create an overwhelming amount of raw data. Going through such information line by line would be impossible for a human engineer. Automated annotation solves this problem by sorting