O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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

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

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 ). You must detect when the model has become stale, and retrain it as necessary.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

MARCH 3, 2024

Worse, it said “adversaries are accelerating and widening their range of sophisticated attacks at scale through automation, cybercrime-as-a-service models, impersonations and adaptation.” And only 45 percent of CISOs were very or somewhat concerned about the risks of unsecured printers, compared to 72 percent of CIOs.

IT 110

IT Measurement Risk Testing 110

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 117

Metrics Software Cost-Benefit Testing 117

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

MARCH 5, 2024

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

Testing 128

Testing Modeling Cost-Benefit Reporting 128

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Contextual Relevance: Ensuring the data fed into LLMs is contextually relevant is paramount.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

CIO Business Intelligence

NOVEMBER 6, 2023

This makes it more critical than ever to adopt strong security measures to protect sensitive information and infrastructure. A Defense in Depth strategy is essential because it helps businesses stay ahead of these risks by implementing multiple lines of defense.

Risk 132

Risk Measurement Cost-Benefit Strategy 132

IBM Big Data Hub

APRIL 15, 2024

The average employee works on autopilot, and to ensure that cybersecurity issues and risks are ingrained in their day-to-day decisions, we need to design and build programs that truly understand their intuitive way of working. This needs to be coupled with effective metrics to measure progress and demonstrate the value.

Metrics 90

Metrics Measurement Risk Data Processing 90

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.

Testing 130

Testing Statistics Measurement Metrics 130

CIO Business Intelligence

MARCH 18, 2024

Developers of risky generative AI models are now free to release them without government approval, but are being encouraged to self-regulate by adding labels to the output of their models warning of their potential unreliability. Akshara Bassi, senior analyst at Counterpoint, weighed in on the implications for AI model developers.

Metadata 82

Metadata Visualization Modeling Risk 82

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

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

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data. The Data Change Request Ratio metric measures the rate of business demand for data. The Mean Time to Recovery metric measures how quickly defects can be resolved. Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 83

Metrics Machine Learning Risk Statistics 83

CIO Business Intelligence

MAY 14, 2024

Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 143

IT Data Processing Enterprise Modeling 143

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

Risk 87

Risk Modeling Measurement Enterprise 87

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

IBM Big Data Hub

AUGUST 9, 2023

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. They also help security teams pinpoint vulnerabilites, improve overall incident response and reduce the risk of data breaches and financial losses from successful phishing attempts.

Testing 77

Testing Measurement Behavioral Analytics Reporting 77

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “For the Masters we use 290 traditional AI models to project where golf balls will land,” says Baughman. ” Watsonx.ai ” Watsonx.ai

Management 82

Management IT Machine Learning Metrics 82

O'Reilly on Data

OCTOBER 22, 2020

Taking the time to work this out is like building a mathematical model: if you understand what a company truly does, you don’t just get a better understanding of the present, but you can also predict the future. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

CIO Business Intelligence

SEPTEMBER 7, 2023

In order to create a culture where product teams own the reliability of their offerings, the Digital Payments team made seven instrumental changes: Define, measure, and reveal product goals : We broke down and extended key reliability goals to each product area.

Scorecard 92

Scorecard Internet of Things Testing IoT 92

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 57

Cost-Benefit Risk Management Risk Digital Transformation 57

IBM Big Data Hub

MAY 28, 2024

Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities. Data risk management To protect their data, organizations first need to know their risks.

Strategy 45

Strategy Measurement Risk Cost-Benefit 45

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. It involves tracking key metrics such as system health indicators, performance measures, and error rates and closely scrutinizing system logs to identify anomalies or errors. The image above shows an example ‘’data at rest’ test result.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

CIO Business Intelligence

AUGUST 24, 2023

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.” Not without warning signs, however.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

Jen Stirrup

MAY 21, 2024

I am joining the webinar as an attendee so I can get out in front of the risks. This post aims to delve into the dichotomous nature of generative AI, shedding light on its potential to bolster our security measures and serve as a tool for unprecedented cyberattacks. Generative AI: A Phenomenon - Why now? between 2022 and 2027.

IT 68

IT Measurement Internet of Things Data-driven 68

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures. The number increased 56% between 2017 and 2018.

Big Data 111

Big Data Technology Testing Cost-Benefit 111

IBM Big Data Hub

JANUARY 16, 2024

Typically, these measures should be undertaken by a dedicated development team or through a product development partnership with an experienced and specialized consultancy. Depending on the product, this phase may also involve wire-framing and modeling as well as costing the price of materials or server space.

Strategy 78

Strategy Cost-Benefit Testing Manufacturing 78

Smart Data Collective

AUGUST 30, 2022

The model enables easy transfer of cloud services between different geographic regions, either onshore or offshore. Testing new programs. With cloud computing, companies can test new programs and software applications from the public cloud. Cloud technology has proven to be an excellent model for large companies.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

CIO Business Intelligence

AUGUST 17, 2023

Anna Ransley, a CD&IO known for her work at Godiva and Heineken, among others, has been advising boards and C-suites about generative AI strategy, risks, and opportunities. Those tests and the requirements for those tests go all the way up to the federal level from a policymaking perspective. We get what we measure.

Measurement 97

Measurement Risk Testing Technology 97

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. Your Chance: Want to test a professional logistics analytics software? In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Cloud infrastructure is especially sensitive, as many critical applications are at risk, such as customer-facing applications.

Management 98

Management Data Processing Risk Digital Transformation 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 needs are then quantified into data models for acquisition and delivery.

Data Quality 241

Data Quality Metrics Data-driven Management 241