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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AI - The Rote Machine
AI's perceived intelligence is often overstated. It is only as “intelligent” as the data it's trained on. Poor quality and unfit data lead to “incorrect”, unsupported, and potentially reputational affecting decisions. Actual progress in AI requires a relentless focus on data fitness, quality, governance, and fairness.
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.
A Coalition of the Motivated
A Community of Collaboration approach fosters genuine problem-solving, increases drive and momentum, and ultimately leads to better business results and increased retention. By creating cross-disciplinary communities of affected individuals focused on specific problem statements with defined outcomes we drive greater innovation. They should be temporary in nature and empowered to rethink processes.