How Finance Leaders Use Machine Learning to Mitigate Risks and Inform Decisions - Argyle Executive Forum Events How Finance Leaders Use Machine Learning to Mitigate Risks and Inform Decisions - Argyle Executive Forum Events

Overview:

As finance executives take on increasing responsibility for preparing their companies for the future, they are recognizing how automation, and machine learning in particular, can accelerate the pace at which their companies make significant decisions.

Machine learning enables companies to quickly identify trends and patterns concerning structured data, including data that resides in a company’s financial reporting system, as well as unstructured information, such as conversations or e-mail correspondence with customers. By factoring in external sources of information, a finance team can use machine learning to reveal influences, including the effects of the pandemic and weather conditions, on a company’s performance. By combining machine learning with predictive analytics, a finance team can create visual models of scenarios to inform decisions about how a company should allocate its resources and respond to risks.

During this webinar, we will discuss:

  • What machine learning is, and why it is becoming increasingly valuable in the realm of finance;
  • How companies can use unstructured data alongside financial data to inform their plans and decisions;
  • Best practices for applying machine learning not only to support decisions but also to identify and mitigate risks; and
  • What skills finance teams will need to develop in order to enable their companies to take advantage of the latest advances in artificial intelligence and machine learning.
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Attend this webinar and earn FREE Continuing Professional Education (CPE) Credit

Webinar Inquiries: For inquiries as well as complaints concerning this webinar, you are welcome to send an email message to webcast_feedback@cfo.com. Please note that only those who attend the live webinar will have the opportunity to earn continuing professional education (CPE) credit in connection with this webinar. Because there is no charge to register for this webinar, there are no refunds following registration for this webinar.

Field of Study: Information Technology
Level: Intermediate
Prerequisite: None
Advance Preparation: None required
Delivery Method: Group Internet-based
Recommended CPE Credit(s): 1

To be eligible to earn one CPE credit, you must answer at least three polling questions while attending the program for a minimum of 50 minutes.

 

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