Remove IT Remove Modeling Remove Optimization Remove Risk
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Gen AI without the risks

CIO Business Intelligence

Developing and deploying successful AI can be an expensive process with a high risk of failure. Six tips for deploying Gen AI with less risk and cost-effectively The ability to retrain generative AI for specific tasks is key to making it practical for business applications. The possibilities are endless, but so are the pitfalls.

Risk 132
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Unlocking value: Oracle enterprise license models for optimal ROI

CIO Business Intelligence

Noting potential pitfalls and best practices for an easy certification can help mitigate risk, maximize return on investment, and save money. With tight IT budgets getting tighter, many Oracle licensees with Unlimited Licensing Agreements (ULAs) are tempted to consider an exit plan to avoid the pinch of rising support costs.

ROI 97
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Optimizing IT resources through infrastructure, people, and processes

CIO Business Intelligence

When respondents were asked what modernization imperatives are causing them to lose sleep at night, the need to improve overall IT performance (60%) topped the list, followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%). Recently, Rocket Software surveyed 275 U.S.-based

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 100
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Data Analytics Helps Optimize Subscriber-Based Business Models

Smart Data Collective

Therefore, the subscription business model is changing how customers pay for the service they receive. Hover, the subscription model can be quite challenging for businesses. If they wish to implement this model, they need to have an information collection system to keep track of billing and customer requests.

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Automating Model Risk Compliance: Model Development

DataRobot Blog

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 76