Changing the Game: Leveraging Tools to Build Machine Learning Into Applications
Gigaom Research Webinar: 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 webinar takes a look at the opportunities and challenges that machine learning brings to the development process.
Speakers:
Jeff Rouse, Director of Product Management, ActiveState
Tim Crawford, Head of Research and CIO, Gigaom
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?
Who should attend:
Chief Technology Officers
Head of Machine Learning
Head of Development
Head of Enterprise Architecture
VP/Director/Manager of Information Technology
VP/Director/Manager of Engineering
VP/Director/Manager of Product