Inside Analysis

Actions Beat Insights: How Auto-ML Can Expedite Business Value

The Briefing Room with The Bloor Group and Squark

Most predictive use cases don’t require a data science team. Whether for marketing, research, or business operations, automated machine learning algorithms can tackle many of the most common scenarios effectively. Generally speaking, organizations that focus on a high volume of achievable wins tend to increase project throughput, performance, and overall satisfaction.

Register for this episode of The Briefing Room to hear Bloor Group CEO explain why Auto-ML poses far more opportunities than threats, and should therefore be embraced with earnest. He’ll be joined by Judah Phillips of Squark, who will demonstrate how his company’s Auto-ML platform addresses up to 80% of the use cases for predictive modeling. He’ll show how business goals and data knowledge are more important than coding and algorithms.

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