Hype vs. Reality of AI, Data Science and Machine Learning
The proper function of data science, machine learning and AI in a data-driven organization
The early steps you should take to invest in data science and machine learning
How data science and machine learning fit in both your analytics and AI strategies
Data science, machine learning and artificial intelligence (AI) have the potential to make a profound impact in a data-driven business, but only if IT leaders can navigate through the hype. In this complimentary AI webinar, Gartner expert Austin Kronz breaks down the differences between these concepts, and provides a high-level introduction of key trends, proven use cases and technologies that can help IT leaders effectively leverage these capabilities.