Latest updates from NeuAlto and Katalyst Street on data, AI, and innovation.
Ask a team what data they have and they'll show you a table. Ask who owns it or if it's sensitive, and things get quiet — that gap is metadata, and it needs to be maintained, not just written once.
Read moreAI is only as reliable as the data it learns from. From IQR and KNN to Isolation Forest and ARIMA, each technique helps tell risks apart from opportunities in building trustworthy AI.
Read moreA renamed column, a changed field — nothing crashes, no alert fires, and your pipeline keeps running on data it was never built for, until someone spots the damage weeks later.
Read moreWhat happens when teams stop trusting their dashboards? Every decision slows down, and hidden anomalies in data carry a real, unmeasured cost.
Read moreWe asked data teams about their confidence — only a handful said "fully confident." The real question: Is the goal to collect more data, or to trust the data you already have?
Read moreFrom stolen credit cards to machine failures and bot clicks — one algorithm frequently shows up across all these domains: Isolation Forest. Here's why it's a go-to method for anomaly detection.
Read moreWhile many anomaly detection methods rely on mean and standard deviation, IQR measures the spread of the middle 50% of your data — making it robust against extreme values and ideal for noisy, skewed datasets.
Read moreModern data pipelines run across multiple clouds, tools, and teams, making things messy. DeltaMax bridges the gap by turning raw data into AI-ready pipelines on Google Cloud.
Read moreFostering a data-driven culture with better literacy, ownership, and collaboration.
Read moreBad data in = Bad AI out. When data is incomplete, inconsistent, or outdated, it's more than a technical glitch — it's a business risk. Better Data → Better Decisions → Better Business.
Read moreWhat happens when teams stop trusting their dashboards? Every decision slows down, and hidden anomalies in data carry a real, unmeasured cost.
Read morePractical strategies for data contracts and lineage across distributed teams.
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