Session 1: Utilizing Cloud Resources to Develop and Deploy Machine Learning Solutions
Presentation Type
Invited
Student
No
Track
Finance/Insurance Application
Abstract
Many organizations across a variety of industries want to incorporate data science into their decision making. By using data science methodologies, organizations can transform into the next evolution of their business. Instead of constantly being reactive, they can become more proactive in their business decisions by implementing data science solutions. One issue that is commonly encountered within many of these organizations, is that after they have developed a machine learning solution they are unsure how to implement such solution. These machine learning solutions need to not only predict and score automatically, but they need to be scalable to meet an organization’s demands. The use of cloud infrastructure technology can solve these problems. Cloud resources such as Azure and AWS have the tools and resources available to help data scientists analyze data, develop machine learning models, and automate data science solutions. My presentation provides an introduction on how to utilize cloud resources in the Azure platform to implement machine learning solutions to help organizations evolve and make better decisions.
Start Date
2-7-2023 9:50 AM
End Date
2-7-2023 10:50 AM
Session 1: Utilizing Cloud Resources to Develop and Deploy Machine Learning Solutions
Dakota Room 250 A/C
Many organizations across a variety of industries want to incorporate data science into their decision making. By using data science methodologies, organizations can transform into the next evolution of their business. Instead of constantly being reactive, they can become more proactive in their business decisions by implementing data science solutions. One issue that is commonly encountered within many of these organizations, is that after they have developed a machine learning solution they are unsure how to implement such solution. These machine learning solutions need to not only predict and score automatically, but they need to be scalable to meet an organization’s demands. The use of cloud infrastructure technology can solve these problems. Cloud resources such as Azure and AWS have the tools and resources available to help data scientists analyze data, develop machine learning models, and automate data science solutions. My presentation provides an introduction on how to utilize cloud resources in the Azure platform to implement machine learning solutions to help organizations evolve and make better decisions.