Remove Business Objectives Remove Experimentation Remove Marketing Remove Metrics
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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. Agreeing on metrics. Identifying the problem.

Marketing 363
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Rebranding IT for the modernized IT mission

CIO Business Intelligence

What that means differs by company, and here are a few questions to consider on what the brand and mission should address depending on business objectives: Is IT taking on more front-office responsibilities, including building products and customer experiences or partnering with sales and marketing on their operations and data needs?

IT 108
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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

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Five Data Analytics Mistakes Marketers Make (And How to Avoid Them)

Sisense

If marketing were an apple pie, data would be the apples — without data supporting your marketing program, it might look good from the outside, but inside it’s hollow. In a recent survey from Villanova University, 100% of marketers said data analytics has an essential role in marketing’s future.

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The great divide: Separating operations and innovation

CIO Business Intelligence

Road-mapping and transformations also become easier as each group can undertake the work that will most affect its assigned success metrics. When operations and innovation activities reside under the same umbrella, those metrics might be at odds, such as measures of reliability and stability versus those of experimentation.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. However, it is far from perfect, since it certainly does not have reasoning skills, and it also loses its “train of thought” after several paragraphs (e.g.,

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Web Analytics Segmentation: Do Or Die, There Is No Try!

Occam's Razor

So how do you go about identifying unique segments for your business or non-profit? Force your leaders (ok HiPPO's) to help you define Business Objectives, Goals and Targets. This would include campaigns you run, like pay per click marketing (PPC), email, affiliate deals, display / banner ads, facebook marketing campaigns.

Analytics 123