AI Technologies

The problem

The investment firm attempts to make decision-making as objectively as possible combining traditional and alternative sources of data. For this particular case, the firm wanted to capture emerging innovation trends across industries by integrating and analyzing 'live information' from websites and financial transactions.

THE SOLUTION

We developed a solution that extracts detailed information of companies' products and track their evolution over time, potentially leading to the identification of new market trends. The solution heavily uses advanced natural language processing and neuron networks algorithms on the data scraped from the companies' websites and from the transactions.

The problem

There is abundance of restaurants and entertainment choices nowadays and consumers are usually overwhelmed. Eezy wanted to recommend venues based on personality of each users rather than reviews.

THE SOLUTION

We build a solution based on both the actual mood of the person when he/she open the app and his/her personality: the machine learning engine matches this information with entertainement options in tune with that in real time.

Behavioural Models

Case studies:

The problem

THE SOLUTION

The problem

THE SOLUTION

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