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Practical Skills for The AI Product Manager

O'Reilly on Data

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

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How to Set AI Goals

O'Reilly on Data

Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable.

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The ethics of data flow

O'Reilly on Data

In this case, the surprise was that Target used this customer's purchase history to identify her as pregnant, and send circulars advertising products for pregnant women and new mothers to her house. The data that’s flowing isn’t just the feed to the marketing contractor. What might that responsibility mean?

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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Often CMOs don’t have time to look into each detail of an advertising campaign but focus their resources into strategic goals of a company and this report shows us exactly what kind of metrics and insights are needed to be successful. 3) Online Advertising Performance. 2) Marketing Performance Report. click to enlarge**.

Reporting 280
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AI adoption in the enterprise 2020

O'Reilly on Data

It seems as if the experimental AI projects of 2019 have borne fruit. Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. But what kind?

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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

Some important considerations: For implementing dbt modeling on Athena, refer to the dbt-on-aws / athena GitHub repository for experimentation For implementing dbt modeling on Amazon Redshift, refer to the dbt-on-aws / redshift GitHub repository for experimentation.

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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

We have to do location-based advertising to squarefour people. We can't forget Mobile advertising. Smart Marketers work hard to ensure that their digital marketing and advertising efforts are focused on the most impactful portfolio of channels. Having read this post what might be the biggest downside to experimentation?