Why: AI Maintenance and Monitoring
Data and Feature-Store Backup
Ensure that robust and reliable mechanisms are in place to back up the crucial data and the feature-store regularly. Check for safeguards against accidental deletion of crucial data. Is there a process to perform a data backup to a remote site?
Model Monitoring and Performance Tracking
Assess the monitoring mechanisms in place to track the performance and behavior of deployed ML models in real time. Analyze the utilization of key performance indicators (KPIs) to measure model accuracy, latency, and resource utilization. Consider anomaly detection techniques to identify and mitigate potential issues or drifts in model performance.
Disaster Recovery
Assess the processes in place to recover from a disaster, such as hardware failure, significant network outages, unexpected data corruption, etc. Compare the recovery latency with the expected QOS guarantees to clients. Log Backup: Validate the processes to back up necessary runtime logs, especially in areas that have legal or regulatory implications.
Model Retraining and Updating Procedures
Test the frequency and process of model retraining to ensure models are up-to-date with the latest data. Assess the effectiveness of model updates and the impact on model performance and predictions. Consider the implementation of A/B testing to compare the performance of new model versions before full Deployment.
Testimonials: What Our Clients Are Saying
Without their help, we may have gone out of business. We saw a 1,000% increase over the maximum capacity of our legacy systems, over 48,000 orders per day, and an average of 75 million page views and 2.3 million unique users each month in 2017.
Asif is a brilliant computer scientist, a physicist, an original thinker, an erudite scholar, and an artist who can sculpt new algorithms, and paint new solutions, veritably a Leonardo da Vinci of our times, and a passionate educator with deep insight into AI/ML/DL/Data-Science/Big-Data topics.
When it comes to Big-data and machine learning, I would simply say he (Asif) knows A-Z in that. No matter what the domain is, he has machine-learning-based solutions for the problems involved. Working with him for years, I have realized how his predictions on the machine learning revolution in big data have come true.
We’ve done development in the past..the SolutionMap is a higher level way of defining a comprehensive approach to getting the success that you want.
It was not just about software…it was all about what is this going to do in your company, how are the people in your organization with your partners and with your other stakeholders going to interact with this piece of software and what are their expectations of it…it also helped us on the backside thinking about our business processes…it was really illuminating to me.
From the design through to the development detail, they listened, understood, and carefully tested before release, often pushing our initial ideas to a better outcome.
