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How to evolve your DTC startup’s data strategy and identify critical metrics

TechCrunch

Direct-to-consumer companies generate a wealth of raw transactional data that needs to be refined into metrics and dimensions that founders and operators can interpret on a dashboard. But in our experience, we’ve learned that you’ll inevitably find yourself asking questions that your off-the-shelf extensions simply can’t answer.

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Your Generative AI strategy could use a startup’s touch

CIO

What are your metrics for success? Marketing departments may find ways to make information housed in knowledge-based articles and other content more easily discoverable. Accordingly, many organizations plan to boost GenAI funding, the survey found. What are your goals with GenAI? Can it be solved with existing AI or even other tools?

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

There is also a trade off in balancing a model’s interpretability and its performance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater. There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning - AI

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

For now, teams have already started applying some ML to in-house monitoring practices, and some have adopted off-the-shelf AI solutions like Splunk’s IT Service Intelligence or Moogsoft’s AIOps tool. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it. NEW POST ?? This is an easy one.

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AI Product Management After Deployment

O'Reilly Media - Ideas

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. The field of AI product management continues to gain momentum. New features in an existing product often follow a similar progression.

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How to Launch a Successful Product: Timing, Roles, and Product Launch Checklist 

Altexsoft

Or a developer failed to test the app with real users to verify usage scenarios, hoping his idea will take off by itself. Why did you favor this tool over the thousands of similar ones? Maybe because of its stylish and easy interface, flawless work, or affordability. Besides, your close friends use this app too. A huge event.

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