CIO Business Intelligence

MAY 24, 2024

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

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CIO Business Intelligence

OCTOBER 8, 2024

You risk adding to the hype where there will be no observable value. The learning phase Two key grounding musts: Non-mission critical workloads and (public) data Internal/private (closed) exposure This ensures no corporate information or systems will be exposed to any form of risk. Test the customer waters.

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CIO Business Intelligence

JUNE 21, 2023

At the same time, the threat landscape continues to evolve and cyber risk is escalating for all organizations. As cyber risk continues to escalate, CIOs and CISOs need to be just as nimble and methodical as their adversaries. Because industry tests often lack standardized measurement criteria, the results can vary wildly.

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Testing Measurement ROI Risk 98

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

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Testing Experimentation Data Processing Modeling 119

O'Reilly on Data

OCTOBER 30, 2023

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Methods by which the AI provider manages and mitigates risks identified via Red Teaming, including their effectiveness.

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Measurement Risk Metrics Modeling 304

AWS Big Data

DECEMBER 7, 2023

In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign. We chose to start this series with media measurement because “Results & Measurement” was the top ranked use case for data collaboration by customers in a recent survey the AWS Clean Rooms team conducted.

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Measurement Advertising Testing Data-driven 99

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.

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CIO Business Intelligence

MAY 23, 2024

There is measurable progress, however, as data from the company’s connected products are collected in its own platform, where customers have access to information via a portal. “In Everything from simple translation services to more advanced solutions for creating product catalogues or risk analyses,” says Nilsson.

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Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

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CIO Business Intelligence

SEPTEMBER 10, 2024

The proposed rules would require companies to report on development activities, cybersecurity measures, and results from red-teaming tests, which assess risks such as AI systems aiding cyberattacks or enabling non-experts to create chemical, biological, radiological, or nuclear weapons.

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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? Assess Variables.

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DataKitchen

NOVEMBER 5, 2024

Get Off The Blocks Fast: Data Quality In The Bronze Layer Effective Production QA techniques begin with rigorous automated testing at the Bronze layer , where raw data enters the lakehouse environment. Data Drift Checks (does it make sense): Is there a shift in the overall data quality?

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IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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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?

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Risk Risk Management ROI Technology 98

IBM Big Data Hub

SEPTEMBER 13, 2023

The role of attack surface management in data breach containment Despite employing an arsenal of cybersecurity measures to protect sensitive data, many organizations find themselves in a relentless race against time, as they strive to bridge the gap between the moment a data breach occurs and when it is effectively contained.

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Risk Management Strategy Measurement 93

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.

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O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. And they are stress testing and “ red teaming ” them to uncover vulnerabilities.

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Metrics Reporting Measurement Finance 290

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

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CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. We put sensors in the vessels, and with the measurement data we receive, we can see how full they are and plan the routes accordingly,” says Andreas Bäckström, a business developer at Division Drift.

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Risk Cost-Benefit Internet of Things Digital Transformation 98

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

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Risk Modeling Metrics Business Objectives 52

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

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Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

AUGUST 6, 2024

This article explores the lessons businesses can learn from the CrowdStrike outage and underscores the importance of proactive measures like performing a business impact assessment (BIA) to safeguard operations against similar disruptions. This helps mitigate risks and ensures accountability.

Risk Management 111

Risk Management Risk Testing Finance 111

CIO Business Intelligence

NOVEMBER 19, 2024

Generative AI (GenAI) is rapidly emerging as a game changer for enterprises, but turning its potential into measurable value remains a significant challenge. Solution: Conduct thorough scalability testing and use modular architectures to facilitate easier scaling.

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CIO Business Intelligence

JUNE 3, 2024

However, amidst the allure of newfound technology lies a profound duality—the stark contrast between the benefits of AI-driven software development and the formidable security risks it introduces. AI-powered applications are vast and varied, but with them also comes significant risk. So, how can an organization defend itself?

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Testing Risk Data-driven Cost-Benefit 124

CIO Business Intelligence

OCTOBER 23, 2024

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. CIOs should create proofs of concept that test how costs will scale, not just how the technology works.”

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Enterprise Cost-Benefit Broadcasting Risk 141

CIO Business Intelligence

SEPTEMBER 12, 2024

The familiar narrative illustrates the double-edged sword of “shadow AI”—technologies used to accomplish AI-powered tasks without corporate approval or oversight, bringing quick wins but potentially exposing organizations to significant risks. Establish continuous training emphasizing ethical considerations and potential risks.

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Experimentation Risk Cost-Benefit Strategy 111

CIO Business Intelligence

SEPTEMBER 26, 2024

One is the security and compliance risks inherent to GenAI. To make accurate, data-driven decisions, businesses need to feed LLMs with proprietary information, but this risks exposing sensitive data to unauthorized parties. That’s because significant challenges persist in leveraging GenAI’s large language models (LLMs).

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Enterprise Data-driven Risk Testing 130

CIO Business Intelligence

MARCH 3, 2024

One component of corporate IT that has long been ‘in range’ for cyber criminals that is often overlooked when protection measures are being put in place are multifunction printers – widely used in almost every organisation. Doing penetration testing.

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DataKitchen

MARCH 12, 2024

We kept adding tests over time; it has been several years since we’ve had any major glitches. Our vision was to create a flexible, state-of-the-art data infrastructure that would allow our analysts to transform the data rapidly with a very low risk of error. Data errors can cause compliance risks. That was amazing for the team.”

Metrics 118

Metrics Software Cost-Benefit Testing 118

O'Reilly on Data

MAY 27, 2020

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes. Books, in turn, get matching scores to reflect their difficulty.

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Testing Risk Measurement Reporting 354

DataKitchen

MARCH 5, 2024

The Stakeholder Confidence Crisis Relying on hope as a data accuracy and integrity strategy is fraught with risks. Implementing rigorous DataOps Observability practices, including automated testing, observability tools, and a culture of continuous improvement, can transform how your team addresses data reliability and accuracy.

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Data Quality Measurement Testing Data-driven 148

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). The Core Responsibilities of the AI Product Manager.

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DataKitchen

SEPTEMBER 21, 2023

In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors.

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CIO Business Intelligence

AUGUST 9, 2024

The European AI Act also talks about synthetic data, citing them as a possible measure to mitigate the risks associated with the use of personal data for training AI systems. The Italian authority has adopted some measures to prevent this activity.”

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Risk Measurement Data Lake Modeling 138

CIO Business Intelligence

AUGUST 1, 2024

The measures take effect in stages: Affected companies have to follow the first rules in just six months. Independent bodies play an essential role in this, not only with regard to the binding requirements, but also in the voluntary AI testing market.” The EU’s regulatory framework divides AI applications into different risk classes.

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Risk Uncertainty Testing Digital Transformation 119

datapine

OCTOBER 11, 2023

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. It allows for informed decision-making and efficient risk mitigation. Let’s dive in with the definition. What Is A Warehouse KPI?

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Metrics KPI Management Cost-Benefit 217

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. Data and tool tests. Observability users are then able to see and measure the variance between expectations and reality during and after each run.

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