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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 362
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12 data science certifications that will pay off

CIO Business Intelligence

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Fast moving data and real time analysis present us with some amazing opportunities. In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. We get optimized price/performance on complex workloads over massive scale data.

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. SageMaker is a full-service platform with data preparation tools such as the Data Wrangler, a nice presentation layer built out of Jupyter notebooks, and an automated option called Autopilot.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

They can visualize and present data findings in dashboards, presentations, and commonly used visualization platforms. They should also have experience with pattern detection, experimentation in business, optimization techniques, and time series forecasting.

Big Data 126
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It’s a new dawn of AI-powered knowledge management

CIO Business Intelligence

According to a recently leaked Google memo, “The barrier to entry for training and experimentation has dropped from the total output of a major research organization to one person, an evening, and a beefy laptop.”

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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.