CIO Business Intelligence

AUGUST 21, 2024

Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” When it comes to security, though, agentic AI is a double-edged sword with too many risks to count, he says. “We That means the projects are evaluated for the amount of risk they involve.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

SEPTEMBER 9, 2024

As IT landscapes and software delivery processes evolve, the risk of inadvertently creating new vulnerabilities increases. These risks are particularly critical for financial services institutions, which are now under greater scrutiny with the Digital Operational Resilience Act ( DORA ).

Risk Management 115

Risk Management Risk Management IT 115

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.

Measurement 304

Measurement Risk Metrics Modeling 304

CIO Business Intelligence

APRIL 23, 2024

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

Risk 116

Risk IT Insurance Risk Management 116

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. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

OCTOBER 17, 2024

While tech debt refers to shortcuts taken in implementation that need to be addressed later, digital addiction results in the accumulation of poorly vetted, misused, or unnecessary technologies that generate costs and risks. million machines worldwide, serves as a stark reminder of these risks. Assume unknown unknowns.

Risk 108

Risk Experimentation Testing Strategy 108

O'Reilly on Data

FEBRUARY 26, 2021

These articles show you how to minimize your risk at every stage of the project, from initial planning through to post-deployment monitoring and testing. Many organizations start AI projects, but relatively few of those projects make it to production. We’ve said that AI projects are inherently probabilistic.

Management 282

Management Testing Data Science Risk 282

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.

Testing 119

Testing Experimentation Data Processing Modeling 119

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.

Risk 124

Risk Technology Cost-Benefit Internet of Things 124

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. It then autogenerates QC tests based on those rules. Every time we see an error, we address it with a new automated test.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” And they are stress testing and “ red teaming ” them to uncover vulnerabilities. But exactly how this stress testing, post processing, and hardening works—or doesn’t—is mostly invisible to regulators. Should we automate away all the jobs, including the fulfilling ones?

Metrics 289

Metrics Reporting Measurement Finance 289

O'Reilly on Data

OCTOBER 22, 2020

Determining the risk profile of a given model requires a case-by-case evaluation but it can be useful to think of the failure risk in three broad categories: “If this model fails, someone might die or have their sensitive data exposed” — Examples of these kinds of uses include automated driving/flying systems and biometric access features.

Consulting 301

Consulting Risk Cost-Benefit Modeling 301

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.

Testing 246

Testing Metrics Measurement Dashboards 246

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. We’re not encouraging skepticism or fear, but companies should start AI products with a clear understanding of the risks, especially those risks that are specific to AI.

Enterprise 277

Enterprise Modeling Testing Reporting 277

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?

Data Quality 204

Data Quality Testing Metrics Reporting 204

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Test and refine the chatbot.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Test BI in a small group and deploy the software internally. Finalize testing. Without further ado, let’s begin.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

AUGUST 20, 2024

The window treatment company, with 17 direct employees and franchises in 35 states, is now beta testing a small language model created with Revscale AI. SMBs need to get over those concerns or risk being left behind, he says. Build it with a partner Kristopher Stuart, COO of Bloomin Blinds, has a much different view.

Risk 131

Risk Cost-Benefit Insurance ROI 131

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

CIO Business Intelligence

NOVEMBER 4, 2024

News accounts that raise the possibility of increased prices, lack of innovation, and reduced support from a critical IT vendor suggest risks that CIOs and other C-level executives (CXOs) simply cannot ignore. The risks are substantial. For forward-thinking CXOs, this transition period is not just about mitigating risks.

Risk 98

Risk Enterprise Uncertainty Testing 98

O'Reilly on Data

JULY 11, 2023

Programmers who work for those companies risk losing their jobs to AI. Testing and debugging—well, if you’ve played with ChatGPT much, you know that testing and debugging won’t disappear. What does this mean for people who earn their living from writing software? AIs generate incorrect code, and that’s not going to end soon.

Testing 250

Testing Software Visualization Interactive 250

DataKitchen

MAY 10, 2024

It highlights how DataKitchen’s Data Observation solutions equip organizations to enhance their development practices, reduce deployment risks, and increase overall productivity. Each addition or modification poses potential risks that could propagate errors into production environments. How Many Tests Ran In The Qa Environment?

Testing 133

Testing Cost-Benefit Data Quality Dashboards 133

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

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

O'Reilly on Data

MAY 25, 2021

There have also been colorful conversations about whether GPT-3 can pass the Turing test, or whether it has achieved a notional understanding of consciousness, even amongst AI scientists who know the technical mechanics. The GPT-3 paper proactively lists the risks society ought to be concerned about. Among other things.

Modeling 350

Modeling Marketing Testing Machine Learning 350

Rocket-Powered Data Science

JUNE 17, 2022

Explore and test-drive it (with a free trial) here. Reference ) Security information and event management (SIEM) on the Splunk platform is enhanced with end-to-end visibility and platform extensibility, with machine learning and automation (AIOps), with risk-based alerting, and with Federated Search (i.e., is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

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?

Testing 124

Testing Risk Data-driven Cost-Benefit 124

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.

Testing 182

Testing Data Quality Predictive Modeling Metrics 182

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.

Reporting 131

Reporting Measurement Testing Risk 131

DataKitchen

NOVEMBER 27, 2024

Without contextual specificity, these dimensions risk becoming check-the-box exercises rather than actionable frameworks that help organizations identify and address the root causes of data quality issues. The DAMA Data Quality Dimension dashboards are crap.

Data Quality 219

Data Quality Dashboards Metrics Cost-Benefit 219

DataKitchen

OCTOBER 5, 2022

Bad data reaches the customer because companies haven’t invested enough, or at all, in testing, automation, and monitoring. ” When the fix is fully tested and deployed to the production pipeline, Jason has time to reflect. Why has the company never addressed this kind of risk? They have no way to catch errors early.

Testing 182

Testing Risk Data Processing Statistics 182

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

DataKitchen

JANUARY 25, 2021

Every operation, every step, and every transaction in the data pipeline is tested and verified. This report gives the data team an easy way to check whether a build is on track or at risk. An error could occur in any of the millions of steps in the data pipeline. Below we’ll show an actual report used by a DataOps enterprise.

Reporting 243

Reporting Testing Enterprise Analytics 243

O'Reilly on Data

SEPTEMBER 19, 2023

You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware. “Here’s our risk model. A number of scholars have tested this shuffle-and-recombine-till-we-find-a-winner approach on timetable scheduling.

Machine Learning 253

Machine Learning Testing Modeling Cost-Benefit 253

DataKitchen

NOVEMBER 18, 2021

Write tests that catch data errors. The system creates on-demand development environments, performs automated impact reviews, tests/validates new analytics, deploys with a click, automates orchestrations, and monitors data pipelines 24×7 for errors and drift. Automate manual processes. Implement DataOps methods.

Testing 246

Testing Data Governance Measurement Software 246

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

erroneous results), and an equal amount (32%) mentioned legal risk. Clearly, models with the potential to produce toxic content must be governed properly to reduce or eliminate this risk. Red-teaming is a term used to describe human testing of models for vulnerabilities.

Testing 130

Testing Modeling Enterprise Risk 130

CIO Business Intelligence

OCTOBER 3, 2024

From budget allocations to model preferences and testing methodologies, the survey unearths the areas that matter most to large, medium, and small companies, respectively. The complexity and scale of operations in large organizations necessitate robust testing frameworks to mitigate these risks and remain compliant with industry regulations.

Testing 129

Testing Cost-Benefit Experimentation Risk 129