DataRobot Blog

NOVEMBER 17, 2022

What’s your AI risk mitigation plan? Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. Enterprise Ready AI: Managing Governance and Risk.

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Smart Data Collective

JULY 16, 2023

This blog post will provide an in-depth exploration of these strategies, equipping fund managers with the knowledge to boost their fund performance and investor confidence. We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds.

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CIO Business Intelligence

MAY 28, 2024

While we are proud to build and release models that are industry-leading on both capabilities and safety, we welcome a robust debate at this important moment,” it said in the blog post. Therefore, it is essential to integrate security measures, risk management, and ethical considerations from the design stage, rather than as an afterthought.”

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DataRobot Blog

JULY 22, 2022

At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. Reduce Risk with Systematic Model Controls. What Risk Managers Need to Know About AI Governance.

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Cloudera

OCTOBER 20, 2021

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers.

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erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. With that in mind, we’ve compiled a list of the very best, best-practice blog posts from the erwin Experts in 2018.

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IBM Big Data Hub

MAY 31, 2024

At both gatherings, participants emphasized the importance of effective governance and risk management. The use of these AI assistants also helps streamline fast, accurate answers that deliver elevated experiences with measurable cost savings. What’s next?

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Cloudera

MAY 24, 2022

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. Climate Risk Measuring and Modeling. I like to be guided by the phrase “make the important measurable, not the measurable important.”.

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Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

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erwin

MARCH 25, 2021

Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We Risk Management and Regulatory Compliance. Risk management, specifically around regulatory compliance, is an important use case to demonstrate the true value of data governance.

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IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

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Cloudera

JUNE 12, 2024

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Some of the biggest and well-known financial institutions are already realizing value from AI and GenAI: JPMorgan Chase uses AI for personalized virtual assistants and ML models for risk management.

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Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. The post Back to the Financial Regulatory Future appeared first on Cloudera Blog.

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Insurance Data Architecture Risk Management Risk 88

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. But you can come around this. Let’s dive in.

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Cloudera

AUGUST 21, 2021

Besides identifying key event patterns and escalating crucial alerts based on predictive insights and actionable intelligence, real time analytics and stream processing fortifies risk management by enabling preventive measures before an incident results in damage. . The need for speed.

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Decision Management Solutions

APRIL 23, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Finally, better managing risk relies on business ownership and collaboration.

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IBM Big Data Hub

MAY 28, 2024

A data protection strategy is a set of measures and processes to safeguard an organization’s sensitive information from data loss and corruption. Data risk management To protect their data, organizations first need to know their risks. What is a data protection strategy?

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Strategy Measurement Risk Cost-Benefit 81

IBM Big Data Hub

DECEMBER 14, 2023

In this blog, we will explore the concept of cyber resiliency from an IBM® perspective and how our approach can help organizations protect themselves in an ever-changing cybersecurity landscape. Cyber resiliency goes beyond mere cybersecurity measures. IBM recognizes the need for a swift and effective response to minimize damage.

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Risk Measurement Business Objectives Optimization 78

Laminar Security

DECEMBER 22, 2023

Implementing DSPM for cost reduction Effective implementation of Data security posture management (DSPM) can drive significant cost reductions in cloud storage by addressing three critical areas: risk management, access governance, and compliance. Data Access Governance (DAG) is pivotal for storage optimization.

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IBM Big Data Hub

DECEMBER 8, 2023

Step 2: Perform a risk assessment The next step is to quantify the level of risk for each risk identified during the first step. This is a key part of the risk mitigation plan since this step lays the groundwork for the entire plan. This approach may require the organization to compromise other resources or strategies.

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Risk Strategy Risk Management Insurance 67

Alation

AUGUST 17, 2022

Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. In terms of measurement, he says “metrics are in the eye of the data consumer. Subscribe to Alation's Blog.

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IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

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Cloudera

APRIL 19, 2023

In order to monetize their data while still respecting the privacy of their customers, these firms must implement robust data protection measures and adhere to relevant regulations. This includes implementing strong security measures, such as encryption and multi-factor authentication, and only collecting and using data with customer consent.

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datapine

MARCH 31, 2022

We have seen that restaurants can also benefit from analytics and there are many big data examples that also show how analytics can help measure employee satisfaction as well as improve it. BI Data Scientist. A data scientist has a similar role as the BI analyst, however, they do different things. And it’s completely free!

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IBM Big Data Hub

MARCH 20, 2024

Prioritizing operational resiliency In our view, the essence of operational resilience is an assumption that disruption is inevitable, and organizations must have measures in place to be able to absorb and adapt to any shocks. This includes cyber incidents, technology failures, natural disasters and more. Similarly, in the U.S.

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Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

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Machine Learning Risk Risk Management Measurement 55

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured.

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DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. dashes and parentheses in telephone numbers) Inconsistent units of measure (e.g., Inquire whether there is sufficient data to support machine learning. Define project scope. Identify project stakeholders.

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IBM Big Data Hub

JUNE 29, 2023

This blog explores the significance of IBP in today’s modern business landscape and highlights its key benefits and implementation considerations. Continuous monitoring and performance management Integrated Business Planning is an ongoing process that requires continuous monitoring of performance against plans and targets.

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CDW Research Hub

MAY 24, 2021

To support these plans, components such as prevention and detection mechanisms, access management, incident response, privacy and compliance, risk management, audit and monitoring, and business continuity planning are all necessary to a successful security program. Develop a security risk management program.

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IBM Big Data Hub

MARCH 4, 2024

An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment. Visit the IBM Hybrid Cloud Architecture Center The post How to become an AI+ enterprise appeared first on IBM Blog.

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IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. Entities will also be expected to put appropriate cybersecurity protection measures in place.

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Cloudera

SEPTEMBER 7, 2023

But these measures alone may not be sufficient to protect proprietary information. Even when backed by robust security measures, an external AI service is a tempting, outsized target for potential security breaches: each integration point, data transfer, or externally exposed API becomes a target for malicious actors.

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Insurance Risk Data-driven Finance 83

IBM Big Data Hub

DECEMBER 13, 2023

Gather diverse insights, understand needs and manage expectations. Determine business objectives Define specific measurable, achievable, relevant and timely (SMART) objectives for the procurement function. Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations.

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Strategy Cost-Benefit Key Performance Indicator Consulting 65

IBM Big Data Hub

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Such datasets are measured by how many “tokens” (words or word parts) they include. The post How to use foundation models and trusted governance to manage AI workflow risk appeared first on IBM Blog.

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erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

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