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The Analytics Sandwich: Understanding the Business Value of Data and AI

TDAN

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

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What is Predictive Analytics and Can it Help You Achieve Business Objectives?

Smarten

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

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Bringing an AI Product to Market

O'Reilly on Data

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. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 363
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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

The world of digital analytics seems to be insanely complicated. I led a discussion the other day with a collection of people who were brand new to the space and some who were jaded long-term residents of Camp Web Analytics. Digital Analytics Ecosystem: The Inputs. Digital Analytics Ecosystem: The Outputs. Averages this.

Analytics 150
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How to build a successful AI strategy

IBM Big Data Hub

An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. A robust AI strategy will enable these organizations to navigate the complexities of integrating AI, adapt quickly to technological advancements and optimize their processes, operational efficiency and overall growth.

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How to build a successful procurement strategy

IBM Big Data Hub

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. These objectives should directly support the overarching business goals and provide a clear framework for the procurement strategy.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. They should also provide optimal performance with low or no tuning. The following diagram is a conceptual analytics data hub reference architecture. Data repositories represent the hub.