Neural networks
Contact us for advice on implementing artificial intelligence (AI) in your business.
We use an advanced platform for creating and training neural networks.
TensorFlow
Google's open software library for machine learning.
Education
neural networks for the operation of artificial intelligence systems.
Products and services
Examples of using neural networks to solve business problems in the field of communications.
AI assistant
Auxiliary online tips when conducting dialogues by phone or correspondence with clients to increase conversion.
Voice assistant
Telephone voice assistant, who understands the speech of clients and is capable of maintaining a full dialogue with them.
Selection of buyers
Identifying more likely buyers from your lead pool to call or email first, without wasting time and resources on less likely ones.
Timing of communication
Determining the optimal time for communication with potential clients in order to increase the conversion of a call or message into a targeted action.
Speech analytics
Speech recognition client and employee during a telephone conversation, followed by analysis of the dialogue and analysis of metrics.
Anti-autoresponders
Function for detecting answering machines, robots or silence on outgoing calls, which is used with auto call.
Find out the cost of AI implementation
Leave your contacts so we can send you rates for creating artificial intelligence.
Machine learning and AI FAQ
How does machine learning improve customer communications?
ML brings more accuracy to speech recognition, AI consultant response generation, and context understanding. Each scenario trains on your data, so over time neural networks perform better and better.
How do you assess the quality of a trained model?
Built-in metrics track whether the model keeps up with external changes. There is also manual review when staff members flag a mismatch (for example, if the model misrecognized a customer phrase), which triggers retraining.
How often should models be retrained?
The training schedule depends on monitoring model outputs. Metrics are often reviewed quarterly, less often – monthly.
3 stages of AI development
Creating AI begins with designing the architecture and data model. We are proponents of flexible microservice architecture for AI applications.
Design
prototype or MVPTo effectively develop and train neural networks, we use a special AI connector, interacting with other applications via API.
Implementation
development, trainingThe product approach helps to implement neural networks faster, making life easier for users. Particular attention is paid to high-quality user onboarding.
Launch
implementation and adaptationImplementation of AI
and training neural networks for business.
Key Facts
- Company
- CONTACT.WORK – digital communications systems integrator
- Category
- Software Development
- Description
- Custom AI and machine learning solutions: neural network training, intelligent assistants for customer communications. Discuss your project with us.
- Address
- 5 Dostyq St., Astana 020000, Kazakhstan
- Website
- contact.work
- sale@contact.work
- Telegram
- @contactworkteam