O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

JANUARY 3, 2024

The risk of going out of business is just one of many disaster scenarios that early adopters have to grapple with. And it’s not just start-ups that can expose an enterprise to AI-related third-party risk. Model training Vendors training their models on customer data isn’t the only training-related risk of generative AI.

Risk 127

Risk Modeling Enterprise Marketing 127

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?

Digital Transformation 114

Digital Transformation Risk Strategy Testing 114

datapine

APRIL 15, 2020

Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out. But before production, you need to develop documentation, test driven design (TDD), and implement these important steps: Actively involve key stakeholders once again.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Smart Data Collective

SEPTEMBER 7, 2021

Properly safeguard physical documents. You and your employees should treat sensitive paper documents with the same level of attention as you treat your online transactions. If the record has served its purpose in your office, keeping it around might be an unnecessary security risk. Ensure you encrypt your data.

Strategy 128

Strategy Risk Measurement IT 128

Smart Data Collective

FEBRUARY 14, 2023

However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. With cloud computing, documents are saved online instead of locally, so they can be accessed from any device with an internet connection. An estimated 94% of enterprises rely on cloud computing.

Risk 108

Risk Cost-Benefit Software Technology 108

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 72

Risk Reporting Strategy Risk Management 72

Jet Global

DECEMBER 21, 2020

In the more modern terminology of business, we could rephrase that to say “be careful about concentration risk.”. When an organization is too reliant on one company or market segment to drive revenue or ensure an adequate product supply, it creates concentration risk. Vendor Concentration Risk. Fourth-Party Concentration Risk.

Risk 98

Risk Sales Reporting Forecasting 98

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. These processes could include reports, campaigns, or financial documentation.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. Fortunately, there are tools available to deal with the specific security challenges presented by printers.

IT 107

IT Measurement Risk Reporting 107

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)? (2) Why should your organization be doing it and why should your people commit to it? (3) In short, you must be willing and able to answer the seven WWWWWH questions (Who?

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

OCTOBER 22, 2020

It’s also a good indirect measure of training data quality: a team that does not know where their data originated is likely to not know other important details about the data as well. It is important for companies employing ML in these situations to understand how this all fits into the overall risk profile of the company.

Consulting 299

Consulting Risk Cost-Benefit Modeling 299

O'Reilly on Data

JULY 20, 2021

Few things within a home are restricted–possibly a safe with important documents. It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? There is a tradeoff between the trust and risk.

Risk 305

Risk Software Interactive Modeling 305

IBM Big Data Hub

DECEMBER 8, 2023

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 67

Risk Strategy Risk Management Insurance 67

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. Newer types of fair and private models (e.g.,

Modeling 224

Modeling Machine Learning Predictive Modeling Consulting 224

CIO Business Intelligence

NOVEMBER 15, 2023

When Bedi talks of enhancing “agent” productivity, he uses the term broadly to mean HR staff, IT service desk operatives, customer service agents, and sales staff, all of whom can benefit from generative AI’s ability to find answers in masses of documentation. Measurement is key, he says. It’s not like we need less software engineers.

Measurement 134

Measurement Digital Transformation Metrics Sales 134

CIO Business Intelligence

JUNE 27, 2024

Trade associations like the DPA may play a role in supporting the enforcement of such legislation and advocating for other similar measures. They must also introduce operational processes document and disclose copyright-related information during dataset creation.”

Risk 118

Risk Measurement Risk Management Strategy 118

CIO Business Intelligence

AUGUST 1, 2023

It would also empower linguists to translate historical documents. But digitizing the project could help collect all those materials in one place, giving everyone access to instant copies of these vital historical documents. Our measure of success is that nearly two dozen instances of ILDA have been created to date,” says Tepe.

Risk 98

Risk IT Software Digital Transformation 98

CIO Business Intelligence

AUGUST 30, 2023

In my previous column in May, when I wrote about generative AI uses and the cybersecurity risks they could pose , CISOs noted that their organizations hadn’t deployed many (if any) generative AI-based solutions at scale. Today, it is, as they create a mysterious new risk and attack surface to defend against.

Enterprise 131

Enterprise Risk Measurement Software 131

CIO Business Intelligence

MAY 2, 2024

Security and risk management pros have a lot keeping them up at night. The digital injection attack A digital injection attack is when someone “injects” fake data, including AI-generated documents, photos, and biometrics images, into the stream of information received by an identity verification (IDV) platform.

Strategy 111

Strategy Risk Management Risk Measurement 111

Smart Data Collective

DECEMBER 21, 2020

Insurers are already using AI to select rates for customers and measure the risk they may pose, but how will it directly be of use in claims processing? Capturing data from documents. It involves identifying crucial information from documents and extracting it right away, so the customer’s journey is smoother and shorter.

Insurance 137

Insurance Cost-Benefit Big Data Unstructured Data 137

CIO Business Intelligence

MAY 1, 2024

Very specific successes There are gen AI success stories in verticals like document engineering, where Docugami offers custom small language models that build a knowledge graph from a customer’s own complex documents, and can be used for both document generation and to extract data. What are you measuring?

Cost-Benefit 142

Cost-Benefit Metrics Insurance Measurement 142

Smart Data Collective

SEPTEMBER 30, 2021

Sometimes the most advanced security measure you can take is to cover the basics. In both cases, keeping the systems updated and backing up sensitive data can help you mitigate the risks. . You need to make sure that these security policies are both properly structured and carefully followed in order to prevent any security risks.

Measurement 132

Measurement Risk Software Reporting 132

CIO Business Intelligence

AUGUST 21, 2024

million in 2024 1 – and thus take the necessary steps to reduce cyber risk. Closely related to defense in depth is a zero trust architecture, where the cloud company basically assumes all potential users are unauthorized until they prove otherwise, using various AAA measures including multi-factor authentication.

Strategy 120

Strategy Measurement Risk Reporting 120

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.

Machine Learning 194

Machine Learning Modeling Testing Risk Management 194

datapine

JANUARY 24, 2021

Additionally, incorporating a decision support system software can save a lot of company’s time – combining information from raw data, documents, personal knowledge, and business models will provide a solid foundation for solving business problems. There are basically 4 types of scales: *Statistics Level Measurement Table*.

IT 317

IT Statistics KPI Data-driven 317

erwin

JUNE 26, 2020

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. You also can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

NOVEMBER 27, 2024

By eliminating time-consuming tasks such as data entry, document processing, and report generation, AI allows teams to focus on higher-value, strategic initiatives that fuel innovation. The platform also offers a deeply integrated set of security and governance technologies, ensuring comprehensive data management and reducing risk.

Data Governance 121

Data Governance Risk Insurance Metadata 121

CIO Business Intelligence

JUNE 13, 2024

Ryan O’Leary: “The big ethical challenges are the risks of misinformation, biases, and potential privacy breaches. RO: “Companies can start by rigorously vetting training data to make sure it is diverse and representative, thereby reducing the risk of bias. Read on for his thoughts.

Forecasting 137

Forecasting Risk Finance Machine Learning 137

CIO Business Intelligence

OCTOBER 4, 2024

This will help to not only mitigate immediate risks, but strengthen long-term resilience. It may happen that sensitive information is affected in this process, so it’s crucial that client companies agree on measures to protect these assets during the execution of the contract. “If

IT 118

IT Measurement Risk Strategy 118

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

DECEMBER 20, 2024

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. AI usage may bring the risk of sensitive data exfiltration through AI interactions.

Risk 99

Risk Measurement Modeling Interactive 99

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. Lastly, CLTR said, capacity to monitor, investigate, and respond to incidents needs to be enhanced through measures such as the establishment of a pilot AI incident database.

Reporting 120

Reporting Risk Management Experimentation Risk 120

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. Document Design and Deployment For Regulations and Clarity.

Risk Management 52

Risk Management Risk Modeling Management 52

Smart Data Collective

MAY 7, 2023

Some of them are: Business formation documents Employment records Business asset records Tax returns and supporting documents Sales receipts Ledgers and registers Leases or mortgage documents Shareholder meeting minutes Bank and credit card statements Licenses and permits Insurance policies and records Loan documents.

Insurance 114

Insurance Cost-Benefit Measurement Data Processing 114

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70

Risk Modeling Management Metadata 70