Teams are setting big goals for AI in the new year: sharper forecasts, deeper market understanding, faster answers. But none of that sticks unless the underlying data is stable, trustworthy, and aligned.
Last year was all about models. This year is about the inputs required to make them actually correct.
With this release, Riley’s CDOS becomes even more autonomous: self-healing pipelines, dynamic relabeling, improved context windows, and transparent lineage tracking. Your AI now starts the year with cleaner, more consistent, and more resilient data than it’s ever had.
CDOS now automates even more of the work required to maintain a reliable AI system:
Immediate use cases:
Get accurate answers to multi-dimensional questions (“How did pricing changes last quarter affect sell-through at Target vs. Walmart?”) without worrying about mismatched IDs, broken joins, or semantic drift.
CDOS continues to eliminate the maintenance overhead that slows AI adoption.
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Riley now includes a dedicated observability layer for data teams.
You can monitor:
• Data health
• Schema changes
• Pipeline freshness
• Anomaly spikes
• Reliability trends
• Source-level quality issues
Immediate use cases:
Identify problems before stakeholders run into them.
Ensure every forecast, correlation, and insight is powered by trustworthy, up-to-date data.
This gives teams production-level reliability without additional tooling.
Forecast Studio - now in Beta - helps teams plan ahead without waiting for reports or manual modeling.
You can forecast:
• Demand
• Sell-out
• Market share
• By brand, region, retailer, or SKU
using live inputs like sales, pricing, media, promotions, and market activity.
Immediate use cases:
• Spot over- or under-performance weeks before it appears in reporting.
• Run scenario tests across pricing, media, or distribution.
• Align cross-functional teams on forecasts that update with real-time signals.
This shifts forecasting from backward-looking to proactively directing outcomes. New models will be introduced to Forecast Studio over the next month.
Riley now cites the specific rows, columns, and records used in each answer — not broad dataset references.
Immediate use cases:
Quickly audit insights, validate assumptions, and trace every conclusion back to precise source data.
With cleaner inputs, clearer visibility, and more predictive intelligence, Riley now supports even higher-stakes decisions with greater accuracy. We look forward to helping your teams put these capabilities to work.
- The Riley Team