Recommendation Systems

Recommendation Systems

AMCL builds cognitive applications that learn, adapt, and react using dynamic reinforcement-learning methodologies

Decision making continues to become increasingly complex in data-driven businesses. The immense challenge of extracting value from mountains of data often demands hiring and training a large in-house team which can be costly and time consuming.

AMCL simplifies data-driven decision making by building highly customized AI-driven recommendation engines for Healthcare, Banking, Oil & Gas and HR industries. Such systems are flexible, adaptive and tailored to meet every client’s needs and goals.

Recommendation Engine algorithms have the ability to customize content, alerts and guidance based on historical data. Such an approach defines and predicts optimal outcomes by analyzing past decisions and activities.