O'Reilly on Data

OCTOBER 30, 2023

While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. These include: What data sources the model is trained on. Operational Metrics.

Measurement 298

Measurement Risk Modeling Metrics 298

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. It knows exactly where the compliance information is in a 300-page document,” Soundarapandian says. “It

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

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

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Consulting Machine Learning Data Science 145

CIO Business Intelligence

APRIL 30, 2024

Between the astronomical fines, sweeping scope, and unclear definitions, every organization operating in the EU now runs a potentially lethal risk in their AI-, ML-, and analytics-driven activities.” EU residents will have a right to submit complaints about high-risk AI systems and receive explanations about decisions.

IT 115

IT Risk Data-driven Modeling 115

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. Dig Security isn’t alone.

Modeling 139

Modeling Enterprise Marketing Sales 139

IBM Big Data Hub

SEPTEMBER 12, 2023

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

Testing 94

Testing Modeling Cost-Benefit Consulting 94

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

Domino Data Lab

JULY 14, 2022

The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done. Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators.

Insurance 98

Insurance Modeling Management Risk Management 98

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 275

Modeling Machine Learning Risk Advertising 275

Domino Data Lab

AUGUST 6, 2021

All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. As such, model governance needs to be applied to each model for as long as it’s being used.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

CIO Business Intelligence

APRIL 16, 2024

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. By leveraging a GenAI-fueled edge with small language models (SLMs), this lengthy work will be streamlined and simplified. Data privacy and security.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

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

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 98

Risk Cost-Benefit Software Technology 98

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

CIO Business Intelligence

APRIL 1, 2024

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. Capturing the “as-is” state of your environment, you’ll develop topology diagrams and document information on your technical systems. Right-size your model(s).

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

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

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Risk Management 137

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

Enterprise 127

Enterprise Modeling Testing Data-driven 127

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. Using zero trust.

IT 111

IT Measurement Risk Testing 111

CIO Business Intelligence

DECEMBER 11, 2023

“This regulation aims to ensure that fundamental rights, democracy, the rule of law and environmental sustainability are protected from high risk AI, while boosting innovation and making Europe a leader in the field,” said the press release issued by European Parliament.

Risk 127

Risk Testing Insurance Cost-Benefit 127

O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 134

Modeling Finance Uncertainty Data mining 134

CIO Business Intelligence

NOVEMBER 7, 2023

What IT can do about generative AI hallucinations Fortunately, there are actions IT organizations can take to reduce the risk of generative AI hallucinations—either through decisions they make within their own environments or how internal users are trained to use existing tools. Here are a range of options IT can use to get started.

IT 130

IT Risk Modeling Strategy 130

CIO Business Intelligence

FEBRUARY 9, 2024

Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury. million video frames and documents about 100 million locations and positions of players on the field. You’re not building a model, setting it, and going, right?

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

CIO Business Intelligence

MARCH 11, 2024

These include security and data privacy concerns, low-quality data, reputational risks, and immature technology, to name a few. It turns out, one tiny legacy component that was barely documented didn’t sustain the production volumes and brought down the whole system. A combination of factors led to this failure. Are they testable?

Software 98

Software Testing Data-driven Risk 98

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

MAY 23, 2023

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. VMware needs more partners to grow, and we will help it succeed in doing so.

Uncertainty 145

Uncertainty Cost-Benefit Risk Technology 145

erwin

MARCH 24, 2020

Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their documentation. erwin’s Evolve software is integral to modeling process flow requirements, but what about the technology side of the equation?

Modeling 97

Modeling Data Processing Software Finance 97

CIO Business Intelligence

SEPTEMBER 29, 2023

Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. That’s because generative AI large language models (LLMs) have prowess in text-based generation, readily finding language and word patterns. At the top of that list are data privacy and security as well as output accuracy.

Finance 133

Finance Unstructured Data Risk Cost-Benefit 133

CIO Business Intelligence

MARCH 4, 2024

Tungsten Automation is delivering the benefits of AI-driven automation through a comprehensive suite of capabilities that can automate everything from low-value and repetitive data entry tasks through to highly complex actions such as risk analysis and fraud detection.

Cost-Benefit 139

Cost-Benefit Predictive Analytics Data-driven Finance 139

CIO Business Intelligence

APRIL 8, 2024

Working with partner Amazon Web Services (AWS), the NFL has developed Digital Athlete, a platform that uses computer vision and ML to predict which players are at the highest risk of injury based on plays and their body positions. million video frames and documents about 100 million locations and positions of players on the field.

Analytics 118

Analytics Broadcasting Predictive Analytics Metrics 118

erwin

MAY 14, 2021

But even though speed is critical, businesses must take the time to model and document new applications for compliance and transparency. For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. As past data isn’t relevant anymore, current models aren’t going to work. For example, using AI on SME documents submitted digitally for automated loan underwriting.

Risk Management 128

Risk Management Risk Enterprise Management 128

CIO Business Intelligence

NOVEMBER 15, 2023

Confusingly, Microsoft already offers a Sales Copilot; Copilot for Sales is a different product that includes a license for Copilot for Microsoft 365, and helps sales staff prepare for customer meetings by creating custom briefing documents. Here’s some of the top AI news CIOs will want to take away from Microsoft Ignite 2023.

Sales 135

Sales Enterprise Modeling Dashboards 135

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

CIO Business Intelligence

DECEMBER 13, 2023

For example, generative AI models are especially adept at making sense of diverse, unstructured datasets to create realistic content, enhance data for machine learning training, simulate and model complex scenarios and environments, and personalize algorithms for targeted marketing and product recommendations.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98