It’s crazy that more data was created in the week it took to write this blog post than in all of 2011. As AI explodes, it’s obvious that we need better tools to keep clean and organized. signalfire.com/blog/anomalo-… Despite enterprises spending $66 BILLION last year on data infrastructure, errors still run rampant and quality control is the #1 bottleneck to further AI adoption. But AI will also help solve this problem. The first generation of data hygiene was rules-based, and the second focused on metrics-driven data observability. But a company called @anomalo_hq is pioneering third-gen AI-based data quality tools that can sniff out red flag data points that indicate larger accuracy issues. That’s why we're excited to share that @SignalFire is leading Anomalo’s $33M Series B, alongside @Databricks, @NorwestVP, @FoundationCap, and @TwoSigmaVC to fix data anomalies for the world’s largest organizations. We’re bringing its data luminary founders @eshmu (former Chief Growth Officer of @Instacart), and @jeremystan (former VP Data Science of Instacart) together with SignalFire Executive-in-Residence @douglasmerritt (former CEO of @Splunk), and SignalFire Partner Chris Scoggins (who scaled DataLogix to its sale to @Oracle). Here’s more on how they’re building the future of #AI #data quality at scale.