CIO Business Intelligence

JANUARY 25, 2024

For enterprise executives in 2024, that means right-sizing those expectations and getting to work: justifying the right use cases, forming teams, and tracking progress and ROI. After a year of frenzied experimentation and investment, executives will have to identify truly valid use cases (and ROI) for AI in 2024.

ROI 105

ROI Experimentation Sales Finance 105

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 339

Management Machine Learning Experimentation Metrics 339

Occam's Razor

FEBRUARY 26, 2008

Use your customers and competitors to help you move the ball forward (buy a new tool, hire another analyst, kill hideous home pages, spend right amounts on SEM and SEO, publish rich media on your site, implement feedburner , or whatever else you want). 1: Implement a Experimentation & Testing Program. # 6: If All Else Fails. . #

Management 68

Management Experimentation Testing Metrics 68

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

FEBRUARY 4, 2020

Keep in mind that a metric like your CTR (click-through-rate) or the number of sessions should be understood in their globality, and not an absolute truth: increasing them will not systematically generate more profit or rise the ROI (return on investment) displayed on this dashboard. 2) Google Ads Digital Marketing Analysis Report.

Reporting 280

Reporting Marketing Advertising Metrics 280

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? Let’s unpack that one: it’s quite important. Does it beat existing benchmarks, i.e., is it SOTA?

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

NOVEMBER 2, 2015

The brand and performance ROI to the company is clear and direct. And, through experimentation, what is it that they want on Facebook… Content perfectly targeted at their audience, in the above case to try and provide value to help them do their jobs better. What content should you publish on Facebook? Just buy ads.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167