Smart Business Approach – Data Science Working for You
Methods such as artificial intelligence (deep learning/neural networks) or machine learning are used mainly in more advanced data analysis and production processes. They make it possible to interconnect huge amounts of data in the form of numbers, images, text, sounds or videos to discover hidden connections and links. The algorithms of these methods are based on learning from experience on labeled cases. By deepening of the learning process, the results become more and more accurate and the end result can therefore classify reality quite reliably.
What purpose does a deep neural network / artificial intelligence (AI) serve?
The advantage of this method is AI model can learn almost anything. The only mandatory condition is having sufficiently large and rich data model can learn from. Currently, this approach is most commonly used for video or audio data analysis.
The use of neural networks and artificial intelligence (AI) is common in the following areas:
- Recognition of objects and people (faces, eyes, facial features)
- Sound-based device diagnostics, text understanding and speech processing (NLP)
- Medical diagnostics (CAD), manufacturing and maintenance of devices (predictive maintenance)
- More complex marketing predictive models, offer recommendations (Amazon, Spotify or Netflix)
- Personalization (RTB and personalized email)
- Data security (antivirus and its database), web search (Google Search Engine )
- Financial trading (repeatable stock transaction prediction and their development)
- Fraud detection (PayPal in finding money laundering), intelligent cars (Tesla)
- State sector (recognition of license plates, people, etc.).
