Advanced Solutions Lab
Category: AI and Machine LearningShow more ↴
![Product: Advanced Solutions Lab [ASL]](https://lh5.googleusercontent.com/HO3KhGfh4_YnDIZMXC3O6ewl6_asnXqEkWPdqWWVKDV4dWyu9ZbCJRIPpu9hJQ9h6eFkPnIt5bqT_0v0SwzBEh8=w1280)
Want to become an expert in Machine Learning [ML]?
Advanced laboratory solutions of learning models using Artificial Intelligence and neural networks.
Learn more about ASL ↴
![Accelerating the Development of Artificial Intelligence [AI]](https://lh6.googleusercontent.com/-gp49ufL2QRwso8ldVCHaz36qYfB742gPsmOMXzqEIDN74qb_jJXfHUYEb_96Kac_NnAjt_AxcgXSWYMrX3BBXEBXQgYRUhjmrNhFwYzB72b52YR1qoekSS5uDWfyF-E3Q=w1280)
Are you passionate about the AI area and would like to become a certified trainer?
Google machine learning experts can help you go beyond your current business goals. The main areas of development of AI ML solutions include:
The demand for digital automation continues and continues to download. Machine processing services in additional use with artificial computational intelligence difficult, even for people who may have a day of contact with the computer in typical office studios.
How to encourage the other party to report knowledge about the taxonomy of model learning models using a combination of codes implemented under the supervision or without in the virtual world of machines invisible to eye indicators. How to convince them that AI-ML is not subject to job loss, which can be replaced.
Google has developed a Machine Learning (ML) methodology in the Advanced Solutions Lab (ASL) hierarchy that helps the company communicate and collaborate with experts in the application of artificial intelligence in machine learning.
Thanks to this, you and your team can solve specific business challenges, gaining a solid foundation in machine learning thanks to their understanding.
Start with us!
Customer analytics and prediction: Integrate across multiple interaction points to create unique customer insights as well as demand forecasting. Examples include product recommendation engines and demand forecasting.
Industrial automation: Collect sensor and PLC data to drive improved quality, increased throughput, and reduced costs. Examples include factory automation and energy efficiency.
Conversation automation: Answer domain-specific questions in an enterprise setting with contextual understanding and optimized search within your data repositories. Examples include contact center and conversational bot solutions.
Image and video insights: Create domain-specific image and video recognition. Examples include anomaly detection and workplace safety.
Dariusz Rogalewicz
CEO FOUNDER TRENDYWEB