A SOLID look on AI Booster
Some time ago, Google publically announced the success of the AI Booster project. It is a collaboration built on top of Google Cloud Platform and Vertex AI. The project involved Vodafone and Google, along with other partners.
The biggest challenge of any organisation working under strict data regulations is getting secure access to the correct data reasonably quickly. This time depends on the availability of the data in the system, data quality, data governance practices of the company and other factors. Fortunately, this process can be standardised and automated for quick business outcomes.
AI Booster is the automation of provisioning AI training environments. It standardises the request structure, manages approval processes and finally creates isolated data environments that are fully secured and compliant.
It also optimises development processes, including data validation and preparation, feature generation, training, prediction, operations, and monitoring.
Today, this system operates in a broad geographic scope in 8 regions with varying data regulations.
“AI Booster was a groundbreaking proposal, requiring out-of-the-box thinking, focus and perseverance. We've had a lot of fun building it.”
- Piotr Ged, CIO of Solid Potential
Marcin Natanek and Piotr Ged participated in the project as Cloud Engineering consultants and were responsible for the core automation.
They have created a set of custom technical solutions that automatically create ready-to-use environments for performing AI and machine learning experiments. It includes the networking aspects, custom APIs, security enhancements and pen testing.
“Our goal was to create the best possible AI platform. I consider the goal has been achieved.”
Marcin Natanek, CTO of Solid Potential
The most essential element for every AI/ML Platform is security. No platform can work with the dependency lifecycle market with request management, automated dependency scanning, and threat detection. Any potential threats must be automatically detected and isolated before any possible adversary access the production data. Therefore, Solid Potential offers you the experts specialising in securing your platforms.
“Possibilities of Machine Learning and business processes automation in projects like AI Booster change our perception of technology companies.”
Aneta Natanek, the CEO of Solid Potential
Imagine how much money, time and resources your company can save with automation and cloud services. AI Booster has increased the time from project acceptance to production deployment from 5 months to 4 weeks.
Imagine if you could reduce the approval process from 20 to 3 man days and reduce the provision times of your infrastructure from 45 man days to 10 minutes!
You can cut out time for testing the platform whenever a new team builds the environment for a new experiment. Your platform can be fully automated and secure from day one.
Automation like that is possible at any scale.
Choose Solid Potential as your Supplier.
We can help you achieve great success.