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TDWI Articles

Advanced Analytics: A Look Back at 2018 and What’s Ahead for 2019

TDWI analyst Fern Halper explains why 2019 will be the start of a digital transformation journey for many organizations.

Machine Learning in 2019: Getting it Right from the Cloud to the Edge

Machine learning and artificial intelligence will be front and center in all business processes

Data Digest: Missing Maturity, Skills, Leadership

How common is low BI maturity, how many businesses are struggling with low analytics skills, and why executives aren’t leading the charge on AI.

Prescription for Business Success: A New Breed of Analytics

Prescriptive analytics builds on predictive analytics by evaluating and recommending actions through heuristics (rules), machine learning, and other AI constructs. Here's how it's being used today and its prospects for the future.

Successful AI Demands Careful Planning

Before you can exploit the benefits of AI-powered analytics, you must build a firm foundation that informs your AI strategy.

Great Machine Learning Needs Careful Data Engineering

A new TDWI Checklist Report examines best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new and big data for analysis.

Data Digest: Machine Learning Applications, Methods, and Training

Machine learning might predict natural disasters, new methods for training algorithms, and new education offered.

How Can Augmented Analytics Benefit Your Role?

How Can Augmented Analytics Benefit Your Role?

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