
Welcome to the Parallaxis Blog
Explore our latest thoughts on all things related to AI, Machine Learning, and the importance of data .
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5 Key Indicators That AI Isn't The Answer
This post outlines five key considerations for deciding whether to pursue AI: the existence of clear rules, data volume and variability, significant regulatory requirements, static environments, and unclear ROI. AI should be a multiplier for disciplined thinking and well-designed processes, not a replacement. Focusing on data quality and automation maturity should precede any AI adoption.

Compliance, Coffee, and Machine Learning
Large Language Models (LLMs) can transform compliance document review from a slow, error-prone and manual process into a scalable, efficient operation. Unlike traditional automation that relied on rigid keyword matching, LLMs understand context and nuance, and when trained on organization-specific examples—such as approved contracts and compliance templates—they can assess documents against internal governance standards.

The Illusion of Just Knowing
Introducing AI/ML in your business emphasizes the importance of data for understanding business operations and driving growth. Relying on assumptions hinders progress and creates an illusion of competence. The document advocates metrics, experimentation, and the scientific method to create a data-driven approach to doing business.

There is no Bad Data
Data's value depends on its intended use. Operational data collection often prioritizes transactions over analysis, resulting in data not optimized for later purposes. Technical data aggregation can introduce biases. Unclear business requests and data silos complicate analysis. To leverage data effectively, we need to be flexible on how we analyze the data we have at hand.

Practical Business Reasons to Resist the Allure of AI
There are many traps along the journey required to leverage AI/ML to generate value for your business. Success relies on aligning AI/ML initiatives with clear business objectives and understanding their true potential.