Abstract: Analytics, Data and Technology have unparalleled capacity to transform the way we work, but their real-world implementation needs more than just data science PhDs and Hadoop clusters. Many organization are creating or expanding special teams to bring analytics into the fold, but the journey is not without its share of significant hurdles. We often find ourselves stranded in legacy systems, separated by siloes and curtailed by the fear of change. A mindset shift required at the operative level, with a mix of EQ and IQ based approach. In this session, we will discuss the companions and sidekicks to Data Science that act as streamliners, accelerators, and safety nets in the race to materiality.
Bio: Neeraj is focused on developing the optimal infrastructure for data driven decision making at AIG Personal Insurance. He is responsible for engaging with and supporting business leaders in accelerating the use of data and analytics for enhancing the top and bottom line. In partnership with the Actuarial and Underwriting teams, Neeraj is working to advance Pricing sophistication, UW effectiveness, Process efficiency and Customer centricity, all with an eye to long term sustainability. The team utilizes a wide variety of analytical approaches, from Machine Learning to NLP to Financial Modeling to Data Visualization, while solving for strategic as well as tactical objectives.
His experience spans 15 years of leadership roles in Advertising, Consumer Finance and Personal Insurance, with an equally diversified educational background that includes a Bachelor of Architecture, and an MBA from IIM, India.
Global Head of Decision Science and Data Automation Personal Insurance | AIG