Why not outsource expertise, data collection and development?
The cost and time required for robust AI training can vary widely depending on several factors, including the complexity of the task, the amount and quality of data available for training, and the expertise and resources of the team involved.
In general, building a robust AI model requires a significant investment of time, effort, and resources. Some estimates suggest that developing a state-of-the-art deep learning model can take months or even years of work by a team of skilled researchers and engineers. The cost of such a project can also be significant, ranging from hundreds of thousands to millions of Euros, depending on the scope and complexity of the project.
Factors that can contribute to the cost and time required for robust AI training include:
- Data collection and preparation: Gathering high-quality data for AI training can be a time-consuming and costly process, especially for complex tasks that require large and diverse datasets. Data cleaning, formatting, and preprocessing can also add significant time and cost to the project.
- Hardware and infrastructure: Training deep learning models requires significant computing resources, including powerful GPUs, memory, and storage. The cost of these resources can be substantial, and setting up and maintaining the necessary infrastructure can also require specialized expertise.
- Expertise and personnel: Building robust AI models requires a team of experts with a range of skills, including data science, machine learning, software engineering, and domain expertise.
- Iterative development and testing: Developing a robust AI model often requires an iterative process of training, testing, and refining the model. Each iteration can require significant time and resources, especially if the team needs to collect new data or make significant changes to the model architecture.
In summary, building a robust AI model can be a significant investment of time, effort, and resources, with costs ranging from hundreds of thousands to millions of euros. The exact cost and time required will depend on the specifics of the project and the expertise and resources of the team involved.
Outsource data collection and training to Spiki
It becomes clear that creating a robust neural network is both costly and time-consuming. Collecting and processing the input data needed, and training, testing and retraining the model are huge challenges for companies not specialised in this field. So why not leave those tasks to Spiki?
We have developed a unique approach to limit the amount of data needed for our neural network training and either source the data ourselves, or help you take the correct measurements and samples in a predefined and clearly specified manner. Thus we can considerably limit time and efforts needed from your side. Our clients get a fully trained neural network model, which can be deployed via microcontroller, FPGA, as a cloud service or even ASIC as a future step in our product development.
Excited? Get in touch and learn how to unlock the full potential of your business with Spiki’s AI you can trust.