Row 7834

Row ID: 7834 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 7834 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

So my team owns a very critical data product, it used to be just business rules, but PO decided we should “improve” it by using “ML”. Team spent almost a year (among other projects) creating fancy ML data product and now after doing some live A/B testings for a while the new predictions are significantly worse than the business rules.

Ive told everyone on my team Im all for scratching what we did since its clearly worst plus way more expensive but PO have sold this to management like it’s the next “ai boom”. Tests results will probably never be mentioned to anyone and product will be updated which will result in money lost by the company in capturing new sales.

Im a data engineer not a data scientist but Ive seen things like this happen too often. Im starting to dislike data space because of this bs “ML/AI” hype.

What would you do in this scenario? Im just smiling at everyone, not saying anything, and resume building now with MLops experience 😅

FieldValue
text So my team owns a very critical data product, it used to be just business rules, but PO decided we should “improve” it by using “ML”. Team spent almost a year (among other projects) creating fancy ML data product and now after doing some live A/B testings for a while the new predictions are significantly worse than the business rules. Ive told everyone on my team Im all for scratching what we did since its clearly worst plus way more expensive but PO have sold this to management like it’s the …
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-17
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{
  "text": "So my team owns a very critical data product, it used to be just business rules, but PO decided we should “improve” it by using “ML”. Team spent almost a year (among other projects) creating fancy ML data product and now after doing some live A/B testings for a while the new predictions are significantly worse than the business rules. \n\nIve told everyone on my team Im all for scratching what we did since its clearly worst plus way more expensive but PO have sold this to management like it’s the next “ai boom”. Tests results will probably never be mentioned to anyone and product will be updated which will result in money lost by the company in capturing new sales.\n\nIm a data engineer not a data scientist but Ive seen things like this happen too often. Im starting to dislike data space because of this bs “ML/AI” hype. \n\nWhat would you do in this scenario? Im just smiling at everyone, not saying anything, and resume building now with MLops experience 😅\n\n",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-17",
  "username_encoded": "Z0FBQUFBQm5LakwzVEpoZVl5MWR0ejQ2ak0yOHVub2FibDVHdnJGcy1IVndDb1FQLXhWY2YyaUxIeWxQam12aGZFRlFyNklzUEdLX1BSb2VHTko4RWJrY3c2U1RDQU03eXc9PQ==",
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}
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