Cloudera

JUNE 6, 2024

To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

erwin

JULY 17, 2019

EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. It improves IT and business data literacy and knowledge, supporting enterprise data governance and business enablement. And do it without the risk of breaking everything.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

CIO Business Intelligence

APRIL 27, 2022

IAM must be balanced for three things — speed, risk, and usability. However, speed must be balanced with each organization’s unique risks. While the right IAM structure can reduce risk, insufficient IAM can increase risk. . While the right IAM structure can reduce risk, insufficient IAM can increase risk. .

Management 52

Management Risk Contextual Data Cost-Benefit 52

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. A business glossary to explain the business terms used within a data asset.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78