Risk Related Topics 
Analytics Vidhya
NOVEMBER 4, 2024
As climate change increases the frequency of extreme weather conditions, such as droughts and floods, contingency planning and risk assessment are becoming increasingly crucial for managing such events. This article […] The post Flood Risk Assessment Using Digital Elevation and the HAND Models appeared first on Analytics Vidhya.
CIO Business Intelligence
APRIL 8, 2025
Risk is inescapable. A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.
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Analytics Vidhya
NOVEMBER 23, 2021
Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. The post Loan Risk Analysis with Supervised Machine Learning Classification appeared first on Analytics Vidhya. These algorithms are decision trees and random forests.
CIO Business Intelligence
NOVEMBER 8, 2024
AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. This means the AI might spit out code that’s identical to proprietary code from its training data, which is a huge risk,” Badeev adds.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Compliance and Risk Considerations ✅ Navigating data-driven finance while staying audit-ready. Human Oversight 🤖 Why people remain a key part of spend management, and how to strike the right balance between AI-driven analytics and human financial expertise. Master the balance between analytics and action.
O'Reilly on Data
JUNE 27, 2023
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? I’ll share some ideas for mitigation.
Analytics Vidhya
DECEMBER 21, 2020
The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Photo by h heyerlein on Unsplash Introduction Similar to rule-based mathematical.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
Speaker: William Hord, Senior VP of Risk & Professional Services
Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. Do we understand and articulate our bank’s risk appetite and how that impacts our business units? How are we measuring and rating our risk impact, likelihood, and controls to mitigate our risk?
Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy
With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises. May 18th, 2023 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm BST
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Many companies are looking to redesign their supply chain network to lower costs, improve service levels and reduce risks in the new year. To do this, teams are finding that they need to perform network assessments more regularly and in-house. Scenario modeling is emerging as a key capability.
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Assessing risks, opportunities and business impact with scenarios. Download this complimentary report to learn about: Gartner’s research findings on the role of scenario planning in S&OP. The paradigm shift happening in S&OP and pain points experienced by SCP leaders. Defining indicators to monitor changes in scenarios.
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Unfortunately, data replication, transformation, and movement can result in longer time to insight, reduced efficiency, elevated costs, and increased security and compliance risk.
Advertiser: Data Robot
Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Banks have always relied on predictions to make their decisions. But times are changing.
Advertiser: Data Robot
Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. Banks have always relied on predictions to make their decisions. But times are changing.
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