Ken Ho is Chief Analytics Officer for Synovus Bank and heads an elite team of analytic strategists, data scientists, big data platform developers, and infrastructure operations analysts. The Synovus analytics organization is focused on the unique needs of commercial, retail banking, investment, mortgage, and many other key businesses. In the past year, right after he started with Synovus, Ken transformed the analytics team to redefine how to provide value to the businesses by becoming customer-centric, building strong relationships, implementing efficiencies, and driving down costs. Under Ken, the analytics team has been a shining example of organization cultural change, collaborative execution, and sustained business engagement; and has expanded its contributions to a larger set of Synovus customer needs as well as optimized its data management, processes, and big data technology deployment.
Before Synovus, Ken held senior leadership positions in major international corporations, including IBM, FCB, Morgan Stanley, Wyndham, and recently at Citibank, where he served as Senior Vice President of Global Business Intelligence, Risk & Big Data Analysis. While at Citi, he led a three-year credit card risk intelligence mitigation effort across multiple countries, fulfilling a critical regulatory requirement stemming from the financial crisis. At IBM, Ken led the strategic planning of Artificial Intelligence (AI) applications for the IBM eServers. Ken also built several start-ups transforming businesses in diverse geographical and environmental contexts while balancing short-term performance and long-term sustainability. His experience includes implementation of key AI initiatives to anticipate and seamlessly blend with changing business and customer needs as well as digital disruption and emerging technologies.
The Chief Data Officer and Chief Analytics Officer roles are evolving continually. In this session the CDO from the Industrial and Commercial Bank of China will discuss how they are preparing for the future; do they want to be innovative thinkers and risk their ideas being too progressive to be applied in the organization? Do they want to be a technical master working behind the scenes? Or do they want to become a transformational leader acting across all these domains of expertise? This session will focus on:
· Fostering their organization’s data-driven strategy
· Aligning innovation, compliance, technical & business perspectives
· Deriving value out of data assets
· Creating future data roadmaps
· Experimenting with upcoming trends such as wearables, mixed reality, and brain-machine interfaces.