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. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 91

Data Architecture Risk Management Risk Management 91

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

JULY 15, 2021

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 103

Risk Optimization Management Insurance 103

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Stress testing is a particular area that has become even more important throughout the pandemic. Similarly, the European Central Bank is issuing stress testing requirements related to climate risk given the potential economic shifts related to addressing climate change.

Testing 101

Testing Management Risk Management Forecasting 101

CIO Business Intelligence

JULY 22, 2024

For CIOs, the event serves as a stark reminder of the inherent risks associated with over-reliance on a single vendor, particularly in the cloud. To mitigate this risk, CIOs are likely to explore multicloud or hybrid cloud architectures, distributing workloads across multiple platforms.

Strategy 143

Strategy Testing Risk Management Risk 143

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Risk 92

Risk Marketing Technology Management 92

CIO Business Intelligence

AUGUST 4, 2023

In collaboration with our peers, we have a solid business sense that carefully weighs innovation and risk in order to gain valuable ROI while protecting the organization from all forms of risk associated with each project. If reversible, then there’s clearly less risk. What’s new and different today?

Risk 98

Risk Risk Management ROI Technology 98

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 6] Debugging may focus on a variety of failure modes (i.e., Sensitivity analysis.

Machine Learning 196

Machine Learning Modeling Testing Risk Management 196

CIO Business Intelligence

MARCH 18, 2024

But while there’s plenty of excitement and change underway, security risks and vulnerabilities have continued to follow right alongside that innovation. Digital operational resilience testing : Sets out guidance for testing of existing recovery strategies to identify potential vulnerabilities.

Risk Management 120

Risk Management Insurance Risk Testing 120

Cloudera

OCTOBER 20, 2021

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 85

Risk Modeling Risk Management Measurement 85

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.

Risk 104

Risk Marketing Risk Management Data-driven 104

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations. The Role of Big Data. Engaging the Workforce.

Big Data 144

Big Data Finance Risk Management Risk 144

Cloudera

MARCH 28, 2019

The trouble is, mortgage lenders persist in relying on historical macro-economic assumptions in their models so they risk repeating the errors of a decade ago when banks – and their regulators – failed to recognize the warning signs from a far richer source: low-level micro-economic data. Risk management 3.0.

Risk 76

Risk Management Risk Management Machine Learning 76

CIO Business Intelligence

SEPTEMBER 18, 2024

To Ragland, who also sits on several state agency and non-profit boards, one of the greatest responsibilities for today’s boards is in governing cyber security risk. And while board members are generally tuned in to the importance of cyber governance, they don’t always understand the true risks with cyber and their own governing role.

Risk 141

Risk Testing Strategy Risk Management 141

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. They may not have been documented, tested, or actively monitored and maintained. Legacy Models.

Modeling 105

Modeling Risk Management Testing Risk 105

Domino Data Lab

AUGUST 6, 2021

All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. The primary focus of model governance involves tracking, testing and auditing. First is the data the model is using.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

CIO Business Intelligence

AUGUST 6, 2024

The incident not only affected the availability of crucial cybersecurity defenses but also laid bare the broader operational risks associated with third-party service dependencies. Vendor risk management Assess vendor capabilities: Regularly evaluate the risk management and disaster recovery capabilities of key vendors.

Risk Management 111

Risk Management Risk Testing Finance 111

Decision Management Solutions

APRIL 23, 2019

, 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. Let’s dive into greater detail on the second lever – Manage Risk Better. Insurers can also manage risk more effectively through continuous improvement.

Insurance 69

Insurance Risk Technology Management 69

CIO Business Intelligence

OCTOBER 15, 2024

But continuous deployment isn’t always appropriate for your business , stakeholders don’t always understand the costs of implementing robust continuous testing , and end-users don’t always tolerate frequent app deployments during peak usage. CrowdStrike recently made the news about a failed deployment impacting 8.5

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

DECEMBER 18, 2024

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.

Risk 52

Risk Risk Management Cost-Benefit ROI 52

DataRobot

OCTOBER 5, 2021

But the technology’s ability to unleash rapid impact with great scope and unique dimensions can also increase organizational risk. For companies implementing AI systems, that risk extends beyond revenue to the reputational damage of using an algorithm that is perceived to be discriminatory or harmful to vulnerable groups.

Risk Management 95

Risk Management Testing Risk Data Science 95

CIO Business Intelligence

JUNE 25, 2024

Charles Dickens’ Tale of Two Cities contrasts London’s order and safety with the chaos and risk of Paris. The CIO so-what test Given Apple’s status as company with the world’s second-highest market capitalization and second-highest overall profitability it’s hard to be too critical. And therein lies a cautionary tale for all CIOs.

Risk 118

Risk Risk Management Statistics Management 118

CIO Business Intelligence

MARCH 15, 2023

In reality, generative AI presents a number of new and transformed risks to the organization. A second, more pernicious risk is the fact that ChatGPT can write malware. Some of these components have professional teams that test and maintain them, releasing security patches as needed.

Digital Transformation 126

Digital Transformation Risk Risk Management Strategy 126

CIO Business Intelligence

APRIL 21, 2022

Combining Agile and DevOps with elements such as cloud, testing, security, risk management and compliance creates a modernized technology delivery approach that can help an organization achieve greater speed, reduced risk, and enhanced quality and experience. All hands on deck .

Digital Transformation 145

Digital Transformation Key Performance Indicator Risk Testing 145

CIO Business Intelligence

JULY 1, 2024

By documenting cases where automated systems misbehave, glitch or jeopardize users, we can better discern problematic patterns and mitigate risks. Real-time monitoring tools are essential, according to Luke Dash, CEO of risk management platform ISMS.online.

Reporting 129

Reporting Risk Management Experimentation Risk 129

CIO Business Intelligence

SEPTEMBER 17, 2024

All this while CIOs are under increased pressure to deliver more competitive capabilities, reduce security risks, connect AI with enterprise data, and automate more workflows — all areas where architecture disciplines have a direct role in influencing outcomes.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

DECEMBER 19, 2023

Underpinning these initiatives are digital transformation core competencies , which include design thinking, product management, agile methodologies, devops practices, citizen development, and data governance. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 128

Enterprise Uncertainty Reporting Risk Management 128

CIO Business Intelligence

MAY 20, 2024

This has CIOs moving from experimenting and testing intelligence in pockets to scaling up deployments and rolling out intelligence throughout their organizations. Risk management came in at No. The approach taken by James Phillips, CIO at software maker Rev.io, reflects that trend. Foundry / CIO.com 3. For Rev.io

IT 142

IT Risk Management Machine Learning Risk 142

CIO Business Intelligence

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Generative AI can help mitigate these often serious risks.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

CIO Business Intelligence

OCTOBER 17, 2022

In fact, under DORA, the complexity of the supply chain or the lack of EU presence are both considered risk factors. Financial institutions accustomed to a regulatory environment primarily designed to assess financial risk and stability will now have to take the potential risk posed by their ICT operations just as seriously.

Risk Management 105

Risk Management Risk Enterprise Insurance 105

CIO Business Intelligence

DECEMBER 20, 2024

Further, no agencies fully mapped mitigation strategies to risks, because the level of risk was not evaluated. Nobody knows the probability of harm The GAO said it is recommending that DHS act quickly to update its guidance and template for AI risk assessments to address the remaining gaps identified in this report.

Risk 52

Risk Reporting Strategy Risk Management 52

Cloudera

APRIL 18, 2024

In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.

Risk Management 82

Risk Management Risk Testing Management 82

Smart Data Collective

OCTOBER 21, 2021

The CISSP certification test assesses your knowledge in eight different security domains: Security and Risk Management Asset Security Security Architecture and Engineering Communication and Network Security Identity and Access Management (IAM) Security Assessment and Testing Security Operations Software Development Security.

Testing 131

Testing Big Data Risk Management Risk 131

CIO Business Intelligence

APRIL 5, 2024

Senate Bill 1047 , introduced in the California State Legislature in February, would require safety testing of AI products before they’re released, and would require AI developers to prevent others from creating derivative models of their products that are used to cause critical harms.

Risk 132

Risk Insurance Interactive Strategy 132

Smart Data Collective

OCTOBER 13, 2021

It also allows companies to experiment with new concepts and ideas in different ways without relying only on lab tests. Choose the right artificial intelligence tools such as System Innovation to help you manage innovation and confront the challenges of technological advancements.

Technology 131

Technology Cost-Benefit Experimentation Machine Learning 131