Why: AI Infrastructure Review

Hardware and Cloud Infrastructure

Assess the hardware and cloud infrastructure supporting the MLOps processes, including compute instances, storage solutions, and networking components. Assess the scalability of the infrastructure to handle varying workloads and data sizes.

DevOps and CI/CD Practices

Examine the CI/CD pipeline used for model development, testing, and deployment. Review version control practices, automated testing, and integrations with deployment tools.

Data Preprocessing and Feature Engineering

Review the data preprocessing and feature engineering pipelines used for data preparation before model training. Evaluating the data cleansing, normalization, and feature extraction techniques employed.

Monitoring and Logging

Evaluate the monitoring and logging mechanisms in place to track the health and performance of MLOps infrastructure components. Identify any potential bottlenecks or issues affecting system performance.

Data Ingestion and Integrations

Analyze the data ingestion process, including data sources, data connectors, data transformation steps. Evaluate the data integrations and sychronization capabilities with external systems.

Data Storage and Security

Assess the data storage solutions used for storing both raw and processed data. Evaluate the data security measures in place to protect sensitive information.

Testimonials: What Our Clients Are Saying

Aaron Raymond headshot
Russell Rollins headshot
David Catatrious speaker
Melanie Robinson headshot

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.

Aaron Raymond

VP of IT, Young Living

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.

Dilip Krishnaswamy

Founder, QWalks

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.

Karthik K

Director at Oracle

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.

Russell Rollins

Sr. Director of Product Technology

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.

David Catatrious


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.

Melanie Robinson

CEO, Winder Farms

Let's Move Mountains

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