DATE: FRIDAY, JULY 19, 2019
TIME: 2:00 PM ET
DURATION: 1 HOUR
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.