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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

“You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. Put your data strategy in business turns. If we make the choice for modular architecture, we have to live it. And living with it will feel different than how we’ve operated technology in the past.”

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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

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.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps. However, this is only possible if you invest in technology that brings transparency and reliability to AI-performed or AI-assisted data work. CIOs should consider placing these five AI bets in 2025.

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5 tips for better business value from gen AI

CIO Business Intelligence

Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact. Successful selling has always been about volume and quality, says Jonathan Lister, COO of Vidyard.

Sales 143
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Will Data Privacy drive an Enterprise Data Strategy?

Cloudera

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59
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Practical Points from the DGPO: An Introduction to Information Risk Management

TDAN

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.