Changing the Game – Leveraging Tools to Build Machine Learning Into Applications

Business leaders are looking for new methods to leverage data in more meaningful ways. Through the use of machine learning, unique insights become valuable decision points. As developers consider the varied approaches to leverage machine learning, the role of tools comes to the forefront.

This Gigaom Research webinar takes a look at the opportunities and challenges that machine learning brings to the development process.

Topics covered:

• What are the opportunities and challenges for machine learning today?
• How do we increase the approachability of machine learning?
• What is the relationship between tools & machine learning?
• What is the role of tools when building machine learning into applications?
• Where do workflows, APIs and algorithms fit in?
• What is the role of tools when building machine learning into applications?
• Where do workflows, APIs and algorithms fit in?
• What is the role of open source?
• Are there other factors to consider such as DevOps, organization, process?

Time to watch: 54.5 min

Speakers:
Jeff Rouse, Director of Product Management, ActiveState
Tim Crawford, Head of Research and CIO, Gigaom