Name: From BI to BI+AI: A Customer Story
Start: 2020-06-25T16:00:00Z
End: 2020-06-25T16:00:24.000Z
Location: BrightTALK
Rating: 0

Are you trying to add predictive analytics, AI/ML capabilities to your BI stack? Not enough resources? Not enough time? Join our channel and learn how AutoML 2.0 can accelerate and automate your data science process - the underlying function that powers AI/ML development. See how dotData clients have developed models in days instead of months.

In late June an AI/ML competition was completed that was sponsored by Walmart. The goal was for data science teams to build a forecasting models for stores in 3 major US states. The data set included millions of rows of data and the competition was held for four months. More than 5,500 data science teams across the globe competed. Join our free on-demand webinar to see how dotData scored in the top 2%, with one person and in only 43 hours!

AI Competition: How We (Almost) Won in Two Days

Adding AI, Machine Learning, or Predictive Capabilities to your BI stack has typically meant finding a data scientist or, even worse, learning about data science yourself. Join dotData's CEO, Dr. Ryohei Fujimaki, as he discusses the latest advancements in Automated Machine Learning: AutoML 2.0, and how it can help any business intelligence professional add AI and ML capabilities to their dashboards in record time.

Key Takeaways:
- What is Augmented Analytics - and how can it help?
- See how adding AI/ML to your BI stack is done today, and why it fails;
- Learn how AutoML 2.0 can accelerate your predictive BI work to days,  
  not months.

AutoML 2.0 - From BI to BI+AI in 5 Minutes

Automated Machine Learning (AutoML) was great, but only AutoML 2.0 can deliver results exponentially by using AI. Learn how US Electrical Services applied dotData AI-FastStart to maximize resources for results.

From BI to BI+AI: A Customer Story

ai-faststart

Automation

automl 2.0

automated machine learning

business intelligence platform

nueral network

Business Analytics

Artificial Intelligence

Business Intelligence

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From BI to BI+AI: A Customer Story

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