AI for QA demystified: The landscape of AI for QA organizations
Learning and adaptation are all typical skills we associate with humans. But with today’s technology, these characteristics are now those we can bestow upon computers, with a little help from artificial intelligence (AI) and machine learning (ML). The economic impact of AI alone is estimated to reach $13 trillion in value by 2030.
But never fear! AI isn’t the fabled robots we see in movies that are looking to take over the world. In the software industry, AI and ML can be used to enhance the data lakes you already have.
In this webinar you will learn:
The three basic ML paradigms: Supervised, Unsupervised, and Reinforcement,
The difference between Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI)
How to determine which use cases AI can be successfully applied to
Join this discussion as we review the functional landscape of AI for QA organizations in 2020 and get practical tools to evaluate the available solutions.