Ontotext

APRIL 15, 2020

The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. The FHIR RDF version of CORD-19 plans to use the PICO ontology for modeling the annotations and to store them back in GraphDB. The Mayo Clinic. medications: 16,406 instances. procedures: 54,720 instances.

Publishing 105

Publishing Metadata Data mining Technology 105

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

Peter James Thomas

MARCH 9, 2020

The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. I last wrote about the process of creating a Data Strategy back in 2014 and – with the many changes that the field has seen since then – am overdue publishing an update, so watch this space.

Measurement 67

Measurement Strategy Data Strategy Modeling 67

AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. The hand wringing soon began.

Metrics 280

Metrics Reporting Measurement Finance 280

O'Reilly on Data

OCTOBER 18, 2022

What if a named entity recognition (NER) system, based on a cutting-edge large language model (LLM), fails for Chinese, Cyrillic, or Arabic text? Audit has been an integral aspect of model risk management (MRM) in consumer finance for years, and colleagues at BLDS and QuantUniversity have been conducting model audits for some time.

Risk Management 287

Risk Management Risk Testing Measurement 287

Jet Global

JULY 19, 2021

In 2018, the Financial Accounting Standards Board (FASB) simplified many of the questions surrounding the valuation of such assets and liabilities by issuing ASC 820, also known as the Fair Value Measurements and Shareholding Disclosure. Getting ASC Fair Value Measurement Right. ASC 820 Fair Value Definition. Enable cookies.

Measurement 98

Measurement Recreation/Entertainment Reporting Marketing 98

CIO Business Intelligence

MAY 22, 2024

The signatories agreed to publish — if they have not done so already — safety frameworks outlining on how they will measure the risks of their respective AI models. The risks might include the potential for misuse of the model by a bad actor, for instance. So, in a way, it is a step towards ethical AI.”

Risk Management 104

Risk Management Risk Modeling Publishing 104

DataRobot

FEBRUARY 10, 2021

Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. These errors might seem small, but the effects can be disastrous when the model is used to make decisions in the real world.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

Cloudera

OCTOBER 20, 2021

The Bank of England has taken a leadership position in publishing disclosures related to its own progress on climate-related initiatives. What are the key climate risk measurements and impacts? When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers.

Risk 80

Risk Modeling Risk Management Measurement 80

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

AWS Big Data

JULY 14, 2023

Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs.

Modeling 73

Modeling Visualization Reporting Measurement 73

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

CIO Business Intelligence

FEBRUARY 7, 2024

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

Testing 108

Testing Reporting Risk Modeling 108

Jet Global

JULY 15, 2021

Despite these limitations, every smart business relies upon planning, forecasting, and scenario modeling to establish reasonable parameters for understanding what the future might hold, setting a strategy for the organization, and determining which actions to take in both the short and long terms.

Modeling 98

Modeling Recreation/Entertainment Sales Cost-Benefit 98

CIO Business Intelligence

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. Bottom up, from those experienced in an agile approach and able to model behavior day in and day out.

Predictive Analytics 130

Predictive Analytics Analytics Machine Learning Digital Transformation 130

CIO Business Intelligence

MARCH 7, 2024

The report, published today, centered on several individual studies of bias, including tests for associations between gendered names and careers, frequently generated less positive responses to prompts related to LGBTQ+ individuals and women, and assigned stereotyped professions to members of different genders and ethnic groups.

Testing 98

Testing Finance Reporting Measurement 98

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

IBM Big Data Hub

APRIL 11, 2024

Compliance with official policies through auditing tools and other measures is merely the final step. In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. The term governance can be slippery.

Risk 75

Risk Consulting Modeling Data Processing 75

DataKitchen

APRIL 26, 2021

Furthermore, the introduction of AI and ML models hastened the need to be more efficient and effective in deploying new technologies. Similarly, Workiva was driven to DataOps due to an increased need for analytics agility to meet a range of organizational needs, such as real-time dashboard updates or ML model training and monitoring.

Measurement 246

Measurement Metrics Data-driven Testing 246

DataKitchen

OCTOBER 28, 2021

This article was originally published in Forbes. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.” What Is AI Bias?

Testing 130

Testing IT Manufacturing Metrics 130

IBM Big Data Hub

FEBRUARY 22, 2024

Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution. But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. The CRISP-DM model is useful here.

Metadata 94

Metadata Measurement Risk Modeling 94

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. The AIgent was built with BERT, Google’s state-of-the-art language model.

Modeling 59

Modeling Metadata Publishing Sales 59

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. A centralized team can publish a set of software services that support the rollout of Agile/DataOps. Central DataOps process measurement function with reports. DataOps Center of Excellence.

Metrics 243

Metrics Experimentation Measurement Testing 243

DataKitchen

SEPTEMBER 20, 2021

For example, data cleansing, ETL, running a model, or even provisioning cloud infrastructure. The self-service team in New Jersey uses sandboxes aligned with their data pipeline (Add Data, Deploy, Publish). Measurement DataOps. Productivity – Measure team productivity by the number of tests and analytics created.

Testing 246

Testing Metrics Measurement Dashboards 246

Jedox

APRIL 21, 2020

Swift changes are forcing management to rethink operating models. To understand the marginal impact of changes you need an analytical framework that measures shifts from baseline scenarios. This requires modeling, not casual empiricism. Many businesses are unprepared. In contrast, an opportunity exists. Portfolio companies.

Uncertainty 52

Uncertainty Modeling Management Finance 52

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 357

Risk Modeling Data Processing Software 357

Jet Global

AUGUST 24, 2021

Enter scenario modeling. Scenario modeling is the practice of developing financial models based on several possible outcomes, and developing plans around each of those situations. Let’s look at some of the best practices for financial scenario modeling. How detailed should your scenario models be?

Modeling 52

Modeling Recreation/Entertainment Forecasting Sales 52

CIO Business Intelligence

MAY 5, 2023

While enterprise IT orgs by and large are taking a measured approach , some early movers are showing impressive results. The combination of CarMax’s revolutionary digital business model applied to the used-car business with revolutionary AI tools available to all makes for powerful and profitable business outcomes. billion overall.

Digital Transformation 143

Digital Transformation Cost-Benefit Business Driver Data Lake 143

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 80

Management IT Machine Learning Metrics 80

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

O'Reilly on Data

APRIL 23, 2024

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. Google, for example, invented the Large Language model architecture that underlies today’s disruptive AI startups. These companies did continue to innovate. Let’s not wait till the robber barons are back.

Advertising 265

Advertising Cost-Benefit Marketing Risk 265

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 327

Management Machine Learning Experimentation Metrics 327

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. As discussed in this article , model design can also be a source of bias too.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

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

CIO Business Intelligence

APRIL 17, 2024

They had ChatGPT write the script, and other gen AI tools to create a digital person who reads the script, a scalable process with at least one measurable benefit: speed. So far, Castillo has been publishing her work with open-source licenses. Some will probably sell a service where they adapt open models to specific problems.”

Enterprise 109

Enterprise Testing Digital Transformation Software 109

AWS Big Data

AUGUST 14, 2023

Taken together, the posts in this series lay out some possible operating models for data mesh within an organization. How do we define “risk” and “value” in the context of data products, and how can we measure this? Kudzu Kudzu—or kuzu (クズ)—is native to Japan and southeast China. What is the lifecycle of a data product?

Management 81

Management Risk Measurement Optimization 81