Description: Hear about modernized reporting capabilities and technical analysis, which is enabled through access to deep actuarial and financial planning data. The webcast will focus on a real post-Long Duration Targeted Improvements (LDTI) source of earnings analysis and on a high-level LDTI forecasting capability.

Description: Since the issuance of IFRS 17 in 2017, the global insurance accounting standard, insurers across the globe have been making huge investment in assessing the impact and implementing the new standard. In late 2018, FASB issued ASU 2018-12 that revises key elements of the U.S. GAAP measurement models and disclosure requirements for long-duration contracts issued by insurers (also called FASB Targeted Improvements). Both standards are becoming effective 1/1/2021 (though IFRS 17 may potentially be deferred by a year). U.S. insurers that have international parents or subsidiaries, and report under a multi-GAAP environment will likely have to adopt both standards. By now most insurers should have nearly completed impact assessment for IFRS 17, designed road map for or have started the implementation journey. With the new U.S. GAAP requirements becoming effective concurrently, it is important to embark on the implementation journey with both standards in mind, and maximize the synergy to achieve cost-saving and design efficiency. This session will briefly introduce the two standards with a conceptual comparison, along with a discussion on where efficiency and synergy can be achieved in a concurrent implementation.

Description: Baseline and "what if"/stressed projections of cash flows, financial statements and capital requirements are critical inputs for a range of business purposes: forecasts, risk management, liquidity management, strategic decision making, etc. Forward-looking projections have historically been inefficient and were performed in silos, making it difficult to scale the process as CFOs and CROs ask for more. The presenters discuss challenges of the forecast process and opportunities to meet desired future capabilities. They will also discuss "what if" analysis and ways to support production of forward-looking projections for "what if" analysis in an efficient way.