Remove Data Collection Remove Management Remove Metrics
article thumbnail

Practical Skills for The AI Product Manager

O'Reilly on Data

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. The AI Product Pipeline.

article thumbnail

What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top Productivity Metrics Examples & KPIs To Measure Performance And Outcomes

datapine

1) What Are Productivity Metrics? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. What Are Productivity Metrics? Productivity metrics are measurements used by businesses to evaluate the performance of employees on various activities related to their general company goals.

article thumbnail

Managing risk in machine learning

O'Reilly on Data

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management. Culture and organization.

article thumbnail

KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

Table of Contents 1) What Is KPI Management? 4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs.

KPI 221
article thumbnail

Excellent Analytics Tip #26: Every Critical Metric Should Have A BFF!

Occam's Razor

But the problem is that single golden metrics hide valuable insights and, more often than not, drive bad behavior. Here's my proposal: If you are pushed to have a single golden metric, give it a partner. The BFF metric you find should not be one that is very far away. So, great metric. Honestly, who can blame them.

Metrics 160
article thumbnail

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 157