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AI: The New BI

AI: The New BI

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How algorithms are transforming business intelligence and analytics

SUMMARY

This report predicts artificial intelligence (AI) will enable business intelligence (BI); specifically, AI-enabled products will address and fix issues, run simulations to optimize procedures, and update key performance indicators that build on forecasts.

Although there have been initial fears about the role of AI, intelligence technology will make BI extensive. AI-enabled BI tools will be simple for users, insightful for analysts, and optimize business users.

What are the benefits and challenges of AI-enabled BI products? AI increases BI effectiveness and efficiency: automate tasks, simplify BI tools, surface insights, and personalize reports. Although there are potential benefits, there are just many technical and non-technical challenges: hidden biases, relevancy, performance and scalability, and ethics and legal issues.

AI functions aid business users and data analysts. AI for business users refers to BI features that help clients report and analyze data sets. For data analysts, AI tools help data engineers and data scientists prepare, rank, and monitor data models.

To gain a competitive edge, companies must prepare for autonomous AI-enabled BI systems. The document suggests AI deployment strategies. Companies should cooperate with AI developers to tailor the capabilities, functions, and relevance of their intelligence technologies. Although we are a long way from AI-enabled BI tools that further surface insights, technological innovations move faster than ever.

OUTLINE

Executive summary

Overview

The rise of AI

AI-enabled BI

Where is AI in the current BI ecosystem?

The present and future of AI

Key takeaways and recommendations
 

DETAILS

Overview

Researchfinder Rating
4 out of 5 stars
Title
AI: The New BI
Sub-Title
How algorithms are transforming business intelligence and analytics
Region
Global
Published
Oct. 1, 2018
Publisher
Eckerson Group
Author(s)
Julian Ereth and Wayne Eckerson
Price
FREE
Language
ENGLISH

Content

Number of Pages
18
Number of Tables
2
Number of Exhibits
5
Topics
ai, software
Tags
AI development, artificial intelligence, business intelligence, data analytics, data preparation, Eckerson Group, IBM, natural language recognition
Companies mentioned
IBM, Qlik
Author(s)
Julian Ereth and Wayne Eckerson
Methodology
Eckerson Group interviewed industry experts and viewed demos of BI tools with AI capabilities from June to September, 2018.
EVALUATION

This document effectively summarize the state of the BI sector with a balance of accessible language, and simple and clear visual information.

Pros

  • Clear language
  • Simple and clear graphical data
  • Relevant content

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