Insurance Analytics with Machine Learning: A Primer for Actuaries Webcast

Date

April 05, 2017

  • Technical Skills & Analytical Problem Solving

Event Home | Registration  | Presenter & Moderator | CPD

 

Presented by

Predictive Analytics & Futurism Section

Time

Noon-1:15 p.m. ET

Location

This webcast takes place via the Internet.

Registration Fees

Registration is now closed. The SOA Customer Service Center is available to assist you Monday through Friday, 8:00 a.m. to 5:00 p.m. CDT. Please call +1-888-697-3900.

Who Should Participate

The target audience for this webinar is all professionals who influence the future direction of their organizations and are looking to improve how their organizations drive decision making with analytics. This webcast will introduce state of the art modeling tools.

Description

This is a practitioner focused webcast - where the main learning objective is to understand the critical building blocks of insurance analytics with machine learning.

Insurance analytics has become absolutely essential for the profitable growth of any insurance organization and machine learning has introduced new ways to do it efficiently. It is a necessity for any organization, regardless of size. In this webcast, presenters will discuss the critical building blocks and show the workflow from the business problem and data, to prediction and deployment. Two datasets will be used to illustrate, with one predicting hospital readmission and another predicting mortality.

Analytics is quickly becoming one of the most important functions of any insurance company. At every point in the customer journey, analytics can create value. Some examples include customer acquisition, marketing, UW, pricing, inspection, audit, claims management, fraud analytics and operations.

During the beginning of this session, presenters will explain different kind of insurance analytics problems and machine learning in the context of predictive analytics. The main learning objective of this session is to understand the building blocks of machine learning and to build a predictive model from start to finish. Presenters will highlight all introduced concepts using two real world datasets; predicting hospital readmission for patients and predicting mortality for the prospective insured.

All of the code and datasets will be available for the participants after the session. The session will also highlight some new developments in the insurance analytics such as automation, usage of open source algorithms and how any company can benefit from these developments.

How the live webcast works and what it includes

You do not need any special equipment. On April 4, 2017, before 2:00 p.m. ET you will be sent detailed webcast instructions via email including the Web address for accessing the presentation. Any handouts that are available will also be sent.  You will follow along with both the slide presentation and the audio portion of the broadcast over the Internet.

The registration fee includes:

  • One access code to the live webcast;
  • One Internet connection;
  • One phone connection (to be used only if experiencing sound issues or if in a conference room with a group)
  • One set of presentation materials; and
  • Access to the subsequent webcast recording.

Please note that each access code may only be used for  one location , even if you register for more than one participant.

Post-Webcast Purchase Opportunity

For those who are interested in SOA webcasts but are unable to participate in the live event, access to an archived recording of the webcast will be available for purchase approximately 10 business days following the event by using the following  link .

 

Back

Legend

Communication

Demonstrating the listening, writing and speaking skills required to effectively address diverse technical and nontechnical audiences in both formal and informal settings.

Professional Values

Adhering to standards of professional conduct and practice where all business interactions are based on a foundation of integrity, honesty and impartiality.

External Forces & Industry Knowledge

Identifying and incorporating the implications of economic, social, regulatory, geo-political and business changes into the design and delivery of actuarial solutions.

Leadership

Initiating, innovating, inspiring, creating or otherwise acting to influence others regardless of level or role toward a common goal.

Relationship Management & Interpersonal Collaboration

Creating mutually beneficial relationships and work processes toward a common goal.

Technical Skills & Analytical Problem Solving

Applying the actuarial knowledge, skills and judgment required to provide value-added services.

Strategic Insight & Integration

Anticipating trends and strategically aligning actuarial practice with broader organizational business goals.

Results-Oriented Solutions

Providing effective problem solving that addresses relevant interests and needs.