This exclusive, invitation-only event will allow senior leaders of leading financial firms to discuss the latest trends, developments, and innovations related to financial services and technology. William Trout, Celent’s Head of Wealth Management practice, will be returning to Tokyo to join Eiichiro Yanagawa, our Tokyo-based expert on financial technology.
The three-hour interactive session includes peer-to-peer discussions as well as presentations by Celent analysts. These presentations will focus on recent global trends as well as the analysts’ points of view and will highlight specific tools and technologies that can be used to address pressing challenges and opportunities. Discussion will follow.
Across the globe, financial institutions are seeking to scale their delivery models. One lever for success will be robust business analytics (centered around actionable insight, in particular) for which improved management of information is a prerequisite. The most elegant strategies will combine architectural improvements with the use of AI to engage the data.
A priority for Financial Services for some time has been the elimination of data silos that inhibit the achievement of a unified view of data. For many firms, the creation of a Hadoop-based data lake has been a necessary first step. The elimination of the ETL (“Extract Transform Load”) process as part of the transition from the relational database to a unitary, schema-on-read (i.e., in which data is maintained in its raw or native format) data lake supports greater data volume and variety. At the same time, this flexibility of data may be offset by the difficulty of matching to the business terms used by the logical data model: a huge issue for risk and compliance.
Simply stated, the knowledge graph uses semantic attribution to make sense of information rather than hang data on a common identifier or predefined model. Knowledge graph technology is often discussed in terms of Internet search, in that it can “tag” text-based or unstructured information and classify or assign it into relationships. The ability to establish and visualize connections between data sets and indeed, discrete types of structured and unstructured data (e.g., policies, personal detail on clients) without having to use query language confers a powerful information advantage. Of particular value to banks are signals or insights on consumer behavior, purchasing decisions, and anomalous behaviors. Google, Facebook, Alibaba, Amazon, World-Check, and others that build their platforms on knowledge graph technology have an opportunity to market this intelligence to the account managers, support staff, management, business analysts, and your generalists, potentially enhancing their skill sets.
- The Celent perspective on Digital Journeys for Strategic Technology Choices: Data Monetization Technologies
- Interactive Discussion: Data Platform, AI, and Self-Serve Analytics - Technology Strategies to Win
- Adjourn/ Networking
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- 1:30 p.m. Registration and Coffe
- 2:00 p.m. The Celent perspective on Strategic Technology Choice
- 3:15 p.m. Networking Break
- 3:45 p.m. Interactive Discussion: Technology Strategies to Win
- 4:30 p.m. Adjourn / Networking
The exclusive invitation-only event is part of a series of targeted roundtables offered by Celent's Capital Markets/ WAM Practice. Building on Celent’s position as a thought leader, these private, closed-door sessions provide a confidential environment to allow participants to engage openly. Sessions are limited to senior industry representatives from select organisations and are not open to the media. Pre-registration is required.
For information, contact Toshiki Kitagawa firstname.lastname@example.org .