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A Complete Guide To Driving Digital Transformation In Marketing

datapine

Digital transformation of your business is possible when you can use emerging automation, Machine Learning (ML), and Artificial Intelligence (AI) technologies in your marketing. However, when it comes to digital transformation in marketing, there is a larger revolution in how marketers use modern tools and technologies.

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59
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IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning

IBM Big Data Hub

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” The new Forrester Wave™ report details how IBM compares with other vendors in the AI-decisioning landscape based on current offering, strategy and market presence scores. .

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6 key challenges of complex cloud environments — and how to manage them

CIO Business Intelligence

Since subscription-based cloud applications don’t need any IT infrastructure, a line of business such as human resources or marketing can buy their own, Johar says. In our case, the strategy is migrating to a cloud-based secure access service edge and zero-trust service model.”. But now the average is 250-plus apps.”.

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Why Jackson CIO Mike Hicks had to flip the script on his proven 100-day plan

CIO Business Intelligence

It’s evolved over my 25 years as a CIO, but in general my approach has been a “listen-plan-act” model. I also implement a business value scorecard to showcase progress during those 40 days, seek feedback from trusted advisors I identified upfront, and adjust course as needed. What has your 100-day plan looked like historically?

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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Executive scorecards, post-campaign analysis, some limited data puking (only when we absolutely can’t get away with it because someone who influences our existence is asking!), We routinely put failed in-lab creative in the market and use both passed in-lab and failed in-lab to see how they do in the real world. Matched market tests.

Analytics 131
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The Business Intelligence Market – What’s Old is New

In(tegrate) the Clouds

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Thanks to The OLAP Report for lots of great market materials. We Couldn’t Get the Answers”.