Remove Finance Remove Risk Management Remove Strategy
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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. So, what do you do? What Can You Do?

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Typically, this approach is essential, especially for the banking and finance sector in today’s world. Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. Firms are currently developing efficient strategies that can woo and retain clients.

Big Data 145
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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. Their collaboration enables real-time delivery of insights for risk management, fraud detection, and customer personalization.

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AI brings complexity to cybersecurity and fraud

CIO Business Intelligence

The 2024 Security Priorities study shows that for 72% of IT and security decision makers, their roles have expanded to accommodate new challenges, with Risk management, Securing AI-enabled technology and emerging technologies being added to their plate.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

A look at how guidelines from regulated industries can help shape your ML strategy. In our experience, many of the most popular conference talks on model explainability and interpretability are those given by speakers from finance. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

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How AI and workflow expand the boundaries of digital business partnering and finance team value creation

Jedox

The Office of Finance is at the heart of every organization, overseeing financial strategy, risk management, and operational efficiency. Often it is a challenge for finance teams to align with stakeholders across business units, departments, and time zones. This [.]

Finance 84
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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Common strategies for data loss prevention and why organizations should adopt them. In addition, they can use several strategies to manage data breaches. Among the various strategies, regular data backup is one of the critical strategies organizations should implement. Data backup and encryption.

Risk 143