Name: Ai4 Finance: AutoML & Beyond - Part 2
Start: 2019-07-10T18:55:00Z
End: 2019-07-10T19:20:40.000Z
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

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

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

Join our CEO, Ryohei Fujimaki PhD as he discusses the brave new world of AutoML and it’s limitations. You will learn how AutoML works, and why automating the Machine Learning selection & optimization is just part of the solution.

Ai4 Finance: AutoML & Beyond   Part 1

Aaron Cheng, PhD, dotData’s VP of Data Science discusses how you can scale your data science process using automation. Join Dr. Cheng as he discusses the challenges of data science and how the four pillars of data science automation can help you scale your data science practice without adding resources.

Scale Your Data Science Process with Automation

Join our CEO, Ryohei Fujimaki PhD as he discusses the four pillars of data science automation and how they can help you create a full-cycle AI/ML development process.

Webinar: How Will Automation Change Data Science?

Join dotData VP of Data Science Aaron Cheng, as he explores the world of data science, AI and Machine Learning development to dive deep into the problem of ongoing failures. Aaron will explore the world of data science, the key reasons projects fail, and what you can do to mitigate those failures.

Why Do 85% of Data Science Projects Fail

In part 2 of our conversation about AutoML, Dr. Fujimaki discusses the role of data scientists in an AutoML workflow, as well as the four core pillars of AutoML and how your organization can build a sophisticated data science workflow that leverages AutoML.

Ai4 Finance: AutoML & Beyond - Part 2

Machine Learning

Automation

Financial Markets

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Ai4 Finance: AutoML & Beyond - Part 2

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