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Ian Ackerman on Muck Rack

Ian Ackerman

Verified
Sydney
As seen in: Australian Financial Review, The Australian, ADVFN, Databricks, Food and Drink Business, Print21, PKN Packaging News, Daily Cargo News

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Articles

Introducing Feature Views

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By Ian Ackerman Verified, Julia Powell, Nick Joung
| Databricks
In a perfect world, ML Features are built only once. But for many teams, a feature that works in a notebook still turns into duplicated logic, fragile pipelines, one-off backfills, online store plumbing, and governance overhead. For real-time use cases like fraud detection, personalization, and recommendations, that complexity gets even harder to absorb because models depend on fresh signals to make accurate predictions.
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MLflow System Tables: Analyze Data Across All Your Experiments

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By Raymond Zhou, Ian Ackerman Verified, Harutaka Kawamura
| Databricks
ML teams are under pressure to move faster, but fragmented experiment data makes that impossible. When experiment tracking is scattered across workspaces and APIs, even simple questions become hard to answer: Which models are improving? Where are we wasting GPU cycles? How many runs failed this week? Without unified visibility, ML leaders can’t see performance trends or spot regressions early. The result: slower iteration, higher costs, and models that take longer to reach production.
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Finding Common Ground: IDD Sector Risks Across the US and Australia

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By Ian Ackerman Verified, Gail Murray
| ajg.com
Authors: At a recent Gallagher global conference, US-based consultant Ian Ackerman and Australia's Gail Murray came together to explore key risk trends impacting the intellectual and developmental disabilities (IDD) sector in their respective countries. What emerged was a shared understanding of the pressures these mission-driven organizations face, as well as potential strategies to help them respond.
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