Analytics and machine learning have become key competitive differentiators in a big data world. Vast amounts of data are already overwhelming existing manual tools and analytics processes. When faced with hundreds of variables, a human's ability to efficiently identify new insights or detect changing patterns manually has also been exceeded. To address these challenges, organizations are adopting new user-friendly, automated augmented analytics and machine learning solutions.
In this demo intensive session, we'll explore the pros and cons of the latest technological innovations. We'll also discuss how these advances will alter the analytics and data science landscape.
You will learn:
- About Automated Augmented Analytics and Machine Learning
- About the Pros and Cons of Automated Offerings
- How Future Data Science Roles will Evolve