Description: Maintaining solid financial performance is a KPI for senior management. With the advancement of technology, the management can leverage new techniques to improve their decision making and focus on higher value activities in a timely manner. This presentation sets out the use of 1. correlation analysis to draw relationship between financial metrics and 2. smart analytics techniques, including text mining and analytics, to identify trends and drivers that impact the valuation of a company. We will also assess how the results of a comprehensive financial analysis could influence risk management considerations, including business steering and risk strategy.

Description: Python has become the fastest-growing major programming language in the world. It has surged in popularity over the last decade, following the development of its industry-leading capabilities in data science, machine learning and artificial intelligence, and it is now one of the most globally popular and widely used languages. In this article, I discuss some of the reasons for its popularity and explain why many actuaries and insurers have started using Python.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: Report on the SOA's 1st Annual LTC Operations and Technology Benchmark Survey. Its goals were to provide data to support the development of time and cost benchmarks for LTC operations, identify the most pressing operations and technology issues, and gain insights into the technologies that are being used to administer Long Term Care business.

Description: This article discusses the actuary's role in project management including analysis, design, implementation and quality assurance.

Description: While it is now almost universally accepted that data can bring value to the insurance industry, there is little guidance on exactly how to make that value tangible. This session goes beyond advances in computing and storage technologies and is aimed directly at business leaders. This session will define what a data strategy is, discuss the main components, describe how to get started creating one, and will outline how to translate a strategy into execution.

Description: The purpose of the article is to highlight how a person or organization can excel in both a highly-competitive expert-driven environment and one where the environment is less so. One should focus on what can be done well and delegate the remaining tasks to those who are better at performing them. One should understand the environment they are operating in, how it impacts them, and how it may change through time. The principles have application to investment management, investment performance, organizational performance, business development, career progression and economics.

Description: You really can have it all: readily available and relevant information derived from consistent and understood data. Getting at the Truth requires a good datawarehouse design and an appropriate business data model. Add a powerful and flexible Web–based analytical interface to get at the data and success in the pursuit of Truth will happen.

Description: This article contrasts the madness of the building of the Winchester House, a large California mansion, to business intelligence and data warehousing systems.