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