Making investment decisions is difficult, requires extensive analysis and is highly dependent on the skill of the analyst.
- Predicting volatility in the market is an indicator of the pricing of certain assets such as ETNs or ETFs
- Using historic data, a model was constructed that could predict future volatility with about 95% accuracy
How to Customize
- Historical asset price data
- Applicable to: tradable assets, real estate, commodities, etc
We were able to successfully train an AI model to recognize complex industrial parts using Neopulse 3.0 on AWS. The AI solution was built very quickly and was able to recognize objects in unpredictable, real-world environments with high accuracy.
Everybody seems confident in AI, and they actually enjoy solving various AI problems.
The vendor’s services are integral to providing AI solutions for a wider audience. They had an effective project management style, accented by a quick working style.
automagically transform raw data into intelligence
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