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AutoML: The Future Of Machine Learning For The Masses

By Dean Wang

With the growing demand for data-driven insights, the field of machine learning has become increasingly accessible to a wider range of people and organizations. However, the complexity and technical skills required to implement machine learning models often pose a barrier to entry. Enter AutoML, the next frontier in AI democratization.

In this session, we will explore how AutoML is changing the game, making it easier for non-experts to build and deploy high-quality machine-learning models.

Key Takeaways:
– Understand the basics of AutoML and how it works
– Learn about the benefits and limitations of AutoML, including its impact on the data science and machine learning community
– Discover how AutoML can be applied in real-world scenarios, from improving business processes to solving complex problems
– Learn about real-life use case stories in various industries, including telco, retail, and healthcare.
– See autoML in action — how to leverage web and code-based tools to develop and deploy ML solutions rapidly at scale.

Target Audience:
– Data scientists and machine learning practitioners
– Business leaders and decision-makers looking to leverage AI in their organizations
– Technical professionals and developers looking to expand their skills in the field of AI
– Anyone interested in learning about the future of AI and how it is shaping our world

About the Speaker


Dean Wang is a Lead Data Scientist from DataRobot. , a company that provides an AI-powered enterprise platform for data science and operations. As a leader at DataRobot, Dean brings a wealth of experience in the field of artificial intelligence and machine learning, as well as a deep understanding of how to leverage these technologies to help organizations solve complex business problems. With a strong background in both academia and industry, Dean is well-equipped to help DataRobot’s clients succeed in their data-driven endeavors and stay at the forefront of innovation in the field of AI.

Dean obtained his Ph.D. in operation research at NTU and has worked for Google, McKinsey, SAP, and Apple as a data scientist before joining DataRobot. He was part of the data science research team that helped the German Football team to compete and win World Cup 2014 (and left before 2018).

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