Why: AI Risk Assessment
Data Handling and Privacy
Poor data management can lead to significant breaches and even violates privacy regulations. We assess what encryption methods and data anonymization techniques are in place to protect sensitive information.
Algorithm Bias
Biases in AI result in discriminatory practices or unfair decisions, which could harm both individuals and the company's reputation. We test AI systems with independent and diverse training data to keep the system in check.
Compliance and Legal Risks
Non-compliance with relevant laws and regulations can bring about hefty fines and severe reputational damage. We certify that the AI system complies with all laws and relevant regulations.
Security Risks
Security vulnerabilities in an AI system can expose it to exploitation by malicious actors. We assess security and recommend regular vulnerability assessments. This can help identify and patch security gaps before they can be exploited.
Transparency and Explainability
If it's not clear how decisions are being made, it becomes difficult to hold the system accountable. We ensure AI techniques are explainable and well-documented, making the system more trustworthy.
Operational Risks
If the system has downtimes or fails at a critical task, it could result in financial losses or other significant issues. We assess backup plans, manual override abilities, and fail-safes.
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.
