Question 1

How does AI and Machine Learning differ?

Accepted Answer

Artificial Intelligence is broadly focussed on automating repetitive tasks and leveraging data insights for problem solving. ML is a subset of AI that focusses on helping systems learn patterns from data sets, improving prediction capabilities.At Radixweb, we specialize in areas of integrating automation across enterprise systems, Gen AI, predictive analysis for unlocking new efficiencies.

Question 2

How do I assess if my data is AI ready? And where do I start implementing AI?

Accepted Answer

A lot of businesses struggle with identifying the scope of AI in their businesses. At Radixweb, we have an AI readiness assessment that analyses your overall architecture, business goals, strengths and gaps to pinpoint areas where AI can be implemented.For AI to deliver its complete potential, your data needs to be clean, structured and accurate. Our Data Engineering Services ensure we prepare your proprietary data in a way that it delivers actionable insights for AI to function properly.

Question 3

How do you ensure the efficiency and accuracy of AI models?

Accepted Answer

The interesting thing about AI is that it delivers on its learning potential. At Radiweb, we strongly prioritize both performance accuracy and data privacy. We align AI models to enhance data pipelines. We also employ industry’s best practices in training and validation, adhere to compliance measures to keep AI systems secure from vulnerabilities.