Artificial Intelligence Design and Solution for Risk and Security

Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects.

Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail.

The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.

Archie Addo holds a PhD in computer information systems (CIS) with an emphasis in e-commerce, cryptography, expert systems, and AI. He also has an executive data science certification from Johns Hopkins University, a certificate in contract law from Harvard Law School, Harvard University, and is a certified project management professional (PMP).

Srini Centhala is founder and chief architect of Absolut-e Data Com (a data company). Srini has provided expert consulting services to Fortune 100 companies for more than 20 years and is chief architect of the BizStats.ai Analytics platform. Specialties include business process re-engineering, business intelligence, senior data architect, machine learning, and AI to business data.

Muthu Shanmugam is chief technology officer at Absolut-e Data Com. Muthu has more than 20 years of experience. He holds a master of engineering from Anna University, India and works on Bizstats.ai to enable knowledge-based AI platforms using natural language processing (NLP), natural language understanding (NLU), application of machine learning, and AI.