Check back to the website so see this year's agenda! If you'd like to be part of the program please contact Brittany Reyes at email@example.com
|09:00am - 09:10am||
Conference Chairman: Stephen Applebaum, Insurance Claims Solutions
|09:10am - 09:50am||
Matured Role of Analytics – A Chubb Perspective
Analytics has evolved substantially in the P&C insurance industry. Implementation of analytics isn’t just an easy issue to solve. The team needs to have a keen understanding of technology and operationalization issues. Additionally, analytics is disruptive. However, it is good only in the way our business would want to process it. Humility and the ability to listen to business users are needed to succeed. Analytics is turning out to be more of a combination of common sense, empathy, maturity and patience rather than mathematical science alone. Upendra Belhe takes us through his journey and evolution of the Chief Analytics Scientist role.
With: Upendra Belhe, Chief Analytics Technology Officer, Chubb
|09:50am - 10:30am||
Differentiation is Critical in the New Insurance Landscape
The operating background carriers face remains extremely challenging due to the tepid economic recovery, pronounced structural change led by rapid technological innovation and increasing competition in most business lines. In response carriers are searching for new approaches to deepen customer relationships, improve operating efficiencies and find additional ways to differentiate in the marketplace. In this session Paul Ballew, Chief Data and Analytic Officer, will provide his unique perspective on:
With: Paul Ballew, Chief Data & Analytics Officer, Dun & Bradstreet
|10:30am - 11:00am||
Networking Coffee Break
|11:00am - 11:40am||
Bring analytics strategies to life
The key to successful analytics strategies starts with the technology, people and plan in place. In order to track the performance of personal and commercial lines proper measurable must be implemented.
With: David Zona, CChief Underwriting Officer, Fireman's Fund Insurance Company
|11:40am - 12:10pm||
Lead or Follow: How to build your analytics dream team to drive insight, impact, and innovation
Rapid innovation in disruptive technology such as driverless cars and telematics, combined with demographic shifts and evolving consumer behavior, is creating an inflection point for the insurance industry. At the same time, insurers are looking to outpace competitors in an environment where growth has settled at 2%-3% with a combined ratio around 100%.
Whether insurance carriers choose to lead or follow, business users need information that is smarter, faster and visual so they can easily drive short-term objectives as well as longer-term strategies. To deliver what business users need, your analytics team needs a wide range of skills that optimizes an ideal collaboration between humans and machines.
With: Deepak Ramanathan, VP, Head Insurance Practice, Fractal Analytics
|12:10pm - 1:40pm||
|1:40pm - 2:20pm||
Define analytics success & the customer life cycle
From claims, pricing, marketing, fraud and actuarial functions, understanding your customers is paramount for every business cycle. Collaboration between departments ensures customer understanding is at its best. Feeding insights into other departments to achieve the ultimate “360 degree view” is what will lead to a complete understanding.
Moderator: John Papadia, President, Clarity
|2:20pm - 3:00pm||
Analytical Use Cases and Methods across P&C Insurance Company Functions
Predictive modeling is often spoken of as if it was a unified discipline. However, business problems, outcomes, tools and methods can vary greatly by functional area, as well as the business and technological knowledge required by the analysts. Explore how analytics must be approached differently for common functional departments in a P&C insurance company.
With: Bob McPherson, Director, P&C Actuarial Research Analytics, Nationwide
|3:00pm - 3:30pm||
Networking Coffee Break
|3:30pm - 4:00pm||
Five New Buzz” - Soul of a Future Integrated Advanced Analytic Ecosystem related to Insurance Business Applications
With: Sundip Gorai, Head of Analytics & Insurance Practice, L&T Infotech
|4:00pm - 4:20pm||
Investment Risk Analytics
Life insurance firms build asset portfolios to match expected liabilities far out in future. Tracking error between the portfolio assets and the hedges are an ongoing challenge for the portfolio manager. On another front, investment risk analysis is generally based on discrete theoretical scenarios or historical relationships, which are not adequately rich to predict future portfolio behavior, especially in times of crisis.
With: Shekhar Shastri, Head of Innovation Lab, Sun Life Financial
|4:20pm - 5:00pm||
Find a happy medium between regulatory & ethical standards
Working within the confines of regulatory barriers can make it difficult to spur innovation and improve customer intimacy. How do we drive innovation and new insights while streamlining with legislation? At what point do you know your customers too well before sacrificing the B2C relationship?
Moderator: Bob Passmore, Senior Director – Personal Lines Policy, PCIAA
Panelists: Aaron Brandenburg, Economist & Statistical Information Manager, NAIC
|09:00am - 09:40am||
Successfully implement data analytics into your day-to-day operations
The challenge for many companies is to overcome their natural inclination to be intimidated by the perceived complexity of building a successful data-driven strategy. In fact, once you get beyond the fancy vocabulary, a good data-driven strategy requires operating executives to understand the data they want to analyze. In order to achieve this strategy you must better understand the process and tools you can use to integrate data analytics into your operations for maximum results.
With: Brian Cohen, CEO, Pacific Specialty Insurance Company
|09:40am - 10:20am||
Insurance data and analytics skills, competencies and Roles
An explosion of volume and variety of information, and desire to consume such information at the same speed as it is produced at, creates a unique opportunity and challenges for the insurance companies. To overcome the challenges and maximize the returns, the insurance analysts are diversifying into variety of roles, skills and competencies to build competitive edge for their enterprise. This session will review what such roles look like as the data driven culture embeds deeper in the insurance enterprises
With: Munish Arora, Senior Manager, Product Analytics, CSAA
|10:20am - 11:00am||
Set up the information and organizational infrastructure to deliver maximum value from all your internal data
In a perfect world, if underwriting were to tap into marketing, claims and actuarial databases they could ultimately achieve the holistic view of the customer. How can we use analytics to improve customer transparency, organizational efficiency and overcome siloed departments? Additionally, how do we mine data out of legacy systems to extract value from customer data to improve business decisions?
Moderator: Seth Earley, CEO, Earley & Associates
|11:00am - 11:30am||
Networking Coffee Break
|11:30am - 11:50am||
Text and Data Mining Solutions for Insurance
Business operation of an insurance company generates wealth of data about contracts, claims, arbitrations, litigations, regulations, customer communications and survey responses. These data can provide invaluable business insights and facilitate informed decisions. However, the amounts of data one needs to analyze are enormous, its semantics complex, and the main portion of these data is stored in the form of free text documents, which cannot be efficiently processed by traditional analytical tools.
This talk illustrates how innovative advanced analytics techniques are used to address typical data analysis challenges in insurance. We provide an outline of key text and data mining steps and techniques and present in more detail several important business solutions incorporating analytics as their cornerstone.
We discuss solutions performing the prediction of litigation and subrogation probability, and fraud detection based on claims data, the analysis of customer communications and surveys data, collaborative databases, and social media data.
With: Sergei Ananyan, Ph.D, cofounder and CEO, Megaputer Intelligence
|11:50am - 1:10pm||
Part 1: Overcome the challenges to win big with claims analytics
Claims Departments all have an ocean of data and mountains of reports. Unfortunately, most struggle to go beyond basic reporting and are poor at delivering "actionable information” – why is this so difficult?
Part 2: Explore the benefits of feeding claims and fraud data into pricing to deliver more accurate decisions
In the US alone, fraud nearly accounts for $80 billion in fraudulent claims are made annually. Fraud contributes to higher insurance premiums because insurance companies must pass the costs of bogus claims onto policyholders. Being proactive opposed to reactive in detecting patterns of fraud through analytics save insurance companies billions of dollars annually.
Moderator: Stephen Applebaum, Insurance Claims Solutions
|1:10pm - 2:10pm||
|2:10pm - 2:50pm||
Web Data 101: Learn what’s out there and how to use it
New to web data analysis? Not sure what data points to ask for? In an evolving world of cross channel analysis and DMP adoption, the online world meets offline. Find out the robust amount of information included in most web analysis tools, and learn how data can be leveraged for risk assessment, discounts, and more.
With: Heather Mills, Web Analytics Administrator, American Family Insurance
|2:50pm - 3:30pm||
Beyond Phones: A World of Potential in Smart Devices
Insurance companies are by now fully aware of the transformative effect the smartphone has had on consumers’ relationships with their insurers, their personal data, and their digital lives. But the effects don’t end at the rounded corners of the latest must-have mobile handset. A wealth of commonly used items, from cars to refrigerators to blood-pressure cuffs, are being equipped with location-aware, always-on, data-collecting (and –transmitting) sensors. The availability of that kind of data has the potential to rewrite the way insurers evaluate and monitor risk. In this panel discussion, we’ll discuss extant and theoretical uses of data from smart devices, as well as well as privacy, security, regulation and infrastructure.
Moderator: Nathan Golia, Senior Editor, Insurance & Technology