Modeling

Cerebri AI applies the modeling techniques that best solves for the insights and analytics for the KPIs being tracked.

We are experts in the use of machine learning (ML), deep neural networks (DNNs), reinforcement learning (RL) and other state-of-the-art AI technologies.

In 2024, the company will be releasing its generative AI front end for travel & meetings insights and analytics.

Cerebri AI applies the modeling techniques that best solves for the insights and analytics for the KPIs being tracked.

We are experts in the use of machine learning (ML), deep neural networks (DNNs), reinforcement learning (RL) and other state-of-the-art AI technologies.

In 2024, the company will be releasing its generative AI front end for travel & meetings insights and analytics.

Our focus

We use loosely-coupled per-written transformers that perform data quality & reconciliation in near real-time.

Developing techniques

In corporate travel & meetings, we use deep neural networks to predict the time engines are running and passenger/cargo load factors in our CO2 calculator for air travel.

CO2 emissions being a key new analytical requirement for corporate travel and procurement managers.

Traditional machine learning

We use traditional machine learning to predict the expected cost of a business trip once airfares or hotels are booked at our customers’ travel management companies (TMCs).

We even use AI and two accommodation datasets of 1.3 million & 350,000 locations, respectively, for advanced data quality assurance tracking hotel locations, change of brand, etc.

Our Cerebri AIQ platform provides a rich set of options for displaying and using AI modeling results in measuring and managing corporate travel & meetings program spending.

We provide for any data we ingest to be reported on as required side-by-side with AI model metrics to provide context and greater clarity, all in near real-time.

Data science is extremely popular today because it works. Powerful new AI technologies, properly applied, can drive serious bottom line results. New and innovative metrics for corporate travel & meetings are made possible using these new techniques.

New metrics such as tracking the price elasticity of air fares and hotel stays, e.g., purchasing two weeks in advance vs ten days. Which drive the best savings time of booking drives the best value for travel & meetings programs?

We use AI

Standard reporting and business intelligence models can’t deliver best-in-class results balancing the value created using advanced data science vs the associated engineering costs in developing models, as well as their associated cloud computing costs

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