HOW FINANCE LEADERS CAN USE MACHINE LEARNING TO IMPROVE FORECASTING, PLANNING, AND DECISION MAKING

Sponsored by Oracle NetSuite
DATE: FRIDAY, JULY 19, 2019
TIME: 2:00 PM ET
DURATION: 1 HOUR

Webcast Summary

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 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 e-mail correspondence with customers. By factoring in external sources of information, a finance team can use machine learning to reveal influences, such as social media commentary, regulatory changes, or weather conditions, on a company's performance. By combining machine learning with predictive analytics, a finance team can create visual models of hypothetical scenarios to inform decisions about how a company should allocate its resources and respond to otherwise imperceptible risks. 

During this Webcast, we will reveal:

  • 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 forecasts, 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 to enable their companies to take advantage of the latest advances in artificial intelligence and machine learning.

About the Panelists

Kris Murphy, Principal, The Hackett Group
 
Kris Murphy is a Principal with The Hackett Group's Business Intelligence and Advanced Analytics Practice with more than 20 years of experience. He works with global organizations to improve their analytics, business intelligence, record-to-report, purchase-to-pay, and order-to-cash processes. Kris has expertise with the design of effective, efficient, and agile implementations of advanced analytics, business intelligence, enterprise resource planning, enterprise performance management, and artificial intelligence.
Chris Davenport, Director, The Hackett Group
 
Mr. Davenport balances business acumen and technology in leading numerous transformation initiatives with the aim of providing executives with correct information in a timely and concise manner. His areas of focus are enterprise performance management and executive decision-support systems.

About the Moderator

Joe Fleischer, Editorial Director, Finance Channel, Argyle Executive Forum
 
In his role as finance channel editorial director with Argyle Executive Forum, Joe Fleischer focuses on developing virtual events on topics that reflect the primary concerns and priorities of senior finance executives. He is based in New York.
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Fields of Study: Information Technology
Level: Intermediate
Prerequisite: None
Advance Preparation: None required
Delivery Method: Group Internet-based
Recommended CPE Credit(s): 1

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