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. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

NOVEMBER 7, 2023

As the end of 2023 approaches, it becomes imperative to assess the current landscape of cybersecurity threats, explore potential strategies to combat them, and explore the new practice measures that can be taken. PAM can help prevent insider threat risks and reduce the potential of credentials becoming compromised.

Measurement 128

Measurement Risk Strategy Statistics 128

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.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smart Data Collective

DECEMBER 26, 2022

Before prioritizing your threats, risks, and remedies, determine the rules and regulations that your company is obliged to follow. Prioritize Your Risks and Assets. Once you are done with enlisting your threat vectors, it is important to go through a risk assessment and create a prioritization list of your assets.

Strategy 130

Strategy Testing Risk Software 130

IBM Big Data Hub

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. A third-party risk management review, where the ISV needs to describe how it is complying to required controls. Most of these new technologies are born-in-cloud.

Cost-Benefit 61

Cost-Benefit Risk Management Risk Digital Transformation 61

CIO Business Intelligence

JUNE 8, 2023

Key skills for the role include resource allocation, risk and change management, quality assurance, communication, and leadership and team building. Relevant skills include security architecture design, threat modeling, compliance and regulations, security operations, risk assessment and management, and security infrastructure implementation.

IT 139

IT Digital Transformation Software Risk 139

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 13, 2024

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We We did side-by-side testing,” he says. In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing.

IT 124

IT Consulting Testing Cost-Benefit 124

Smart Data Collective

AUGUST 30, 2022

Testing new programs. With cloud computing, companies can test new programs and software applications from the public cloud. Cloud technology allows companies to test many programs and decide which ones to launch for consumers quickly. Centralized data storage.

Technology 132

Technology Enterprise Cost-Benefit Testing 132

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.

Cost-Benefit 81

Cost-Benefit Testing Strategy Risk Management 81

IBM Big Data Hub

APRIL 9, 2024

” The historical sources watsonx.data accesses comprise relational, object and document databases, including IBM® Db2® , IBM® Cloudant , IBM Cloud® Object Storage and PostgreSQL. We also measure response time since this is a near real-time system. Lastly, watsonx.data pulls from live feeds.

Management 87

Management IT Machine Learning Metrics 87

CIO Business Intelligence

APRIL 21, 2022

You might have heard that if you can’t measure you can’t manage. This is followed by Lewis’s 2nd Law of Metrics: You get what you measure – that’s the risk you take. Anything you don’t measure, you don’t get. Calibrated: No matter who measures what you’re measuring, they must record the same result.

Metrics 103

Metrics IT Cost-Benefit Measurement 103

CIO Business Intelligence

AUGUST 28, 2023

Although agile does value documentation, it is not as heavily emphasized as it is in traditional project management, for which documentation is often very detailed and assembled in advance. A final working product is the ultimate measure of success. Rushed testing cycles: Sprints can create a risk of rushed testing cycles.

Management 98

Management Software Testing Risk 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 190

Machine Learning Modeling Testing Risk Management 190

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 132

Insurance Cost-Benefit Big Data Unstructured Data 132

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

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. A recent survey of nearly 1,000 IT decision-makers conducted by Foundry underscores this.

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

OCTOBER 20, 2023

Nearly 40% of the company’s business processes have now been digitized, and filing claim time — a key measure of customer satisfaction — has been reduced from four minutes to 43 seconds, according to the company. And it has all been undertaken with a cloud-first approach. “It It was built and designed to run on the cloud,” Jeevanjee says. “It

Digital Transformation 135

Digital Transformation Insurance Recreation/Entertainment Machine Learning 135

CIO Business Intelligence

FEBRUARY 13, 2023

Larger is Better involves a “lower specification limit,” such as test scores — where the target is 100%. Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. Control the new process to avoid falling into old habits and to ensure it stays on track.

Management 96

Management Statistics Manufacturing Measurement 96

CIO Business Intelligence

DECEMBER 11, 2023

But ensuring those and other measures are taken into consideration is a weighty task that CIOs will be grappling with as AI becomes integral to how people work and conduct business. This team establishes the company’s risk tolerance, acceptable use cases and restrictions, and applicable disclosures.

Modeling 128

Modeling Risk Strategy Software 128

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. They must be accompanied by documentation to support compliance-based and operational auditing requirements.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

CIO Business Intelligence

MARCH 7, 2024

Public LLMs in the sandbox: Safely test publicly available Large Language Models (LLMs) in a sandbox environment, separate from the production setting, to assess their impact without risking operational disruptions. Many businesses are in the exploratory phases, creating unique business cases and testing their theory on uses.

Digital Transformation 67

Digital Transformation Machine Learning Risk Testing 67

Cloudera

OCTOBER 15, 2021

Please refer to Apache Ozone documentation for more details regarding Apache Ozone’s atomicity guarantees. In this blog post, we will look into benchmark test results measuring the performance of Apache Hadoop Teragen and a directory/file rename operation with Apache Ozone (native o3fs) vs. Ozone S3 API*. Further Reading.

Testing 87

Testing Measurement Optimization Metadata 87

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 296

Consulting Risk Cost-Benefit Modeling 296

DataRobot

AUGUST 9, 2021

General Data Protection Regulation, California Consumer Privacy Act, SR 11-7 Guidance on Model Risk Management, etc). In October 2020, Citigroup was slammed with a $400 million fine for ‘longstanding failure’ to resolve its risk and data systems. The current methods used by audit firms are costly and time-consuming.

Machine Learning 52

Machine Learning Risk Testing Insurance 52

CIO Business Intelligence

MARCH 30, 2022

But that takes a deep understanding of the decision-making process, the risks and rewards of each decision, the acceptable margin of error, and the ability to figure how confident you should be in any decision offered by your automated decision processes. Risk scoring traditionally involved a series of if-then decisions.

Machine Learning 144

Machine Learning Risk Testing Data-driven 144

Smart Data Collective

FEBRUARY 9, 2022

Let’s dive right into how DirectX visualization can boost analytics and facilitate testing for you as an Algo-trader, quant fund manager, etc. So, how can DirectX visualization improve your analytics and testing as a trader? For example, the trading duration, volatility and risk involved, among other things.

Visualization 130

Visualization Optimization Analytics Testing 130

erwin

APRIL 15, 2020

Do individual countries use the same testing protocols? Are infections universally defined the same way (based on widely administered tests or only hospital admissions)? This deeper understanding will help us make better decisions about the risks and rewards of using that external data. Are asymptomatic infections reported?

Data Governance 134

Data Governance Metadata Testing Reporting 134

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Data Insight

SEPTEMBER 5, 2023

So, let's jump into our top tips for data security because, in today's interconnected world, it's not a question of if, but when, your defenses will be put to the test. Ensure you govern your data This is your second line of defense and ensures that if your walls are breached you still have other security measures in place.

Data Governance 40

Data Governance Measurement Software Testing 40

CIO Business Intelligence

SEPTEMBER 21, 2023

The phrase “existential risk” is now everywhere—not in the sense the AI would destroy humanity, but that it would make business functions, or even entire companies, obsolete. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says. But it’s a sign of what’s to come. “If

Enterprise 126

Enterprise Consulting Modeling Cost-Benefit 126

Cloudera

JUNE 22, 2023

It integrates data from databases, cloud or RESTful APIs, and real-time, streaming feeds, as well as unstructured data from document databases and other sources. Financial services firms can leverage the near-infinite capacity of the cloud while leveraging on-premises resources to meet demanding performance and compliance requirements.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

IBM Big Data Hub

APRIL 18, 2024

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

DataRobot

JULY 16, 2021

Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. Testing your model to assess its reproducibility, stability, and robustness forms an essential part of its overall evaluation. Operations.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98