Occam's Razor

SEPTEMBER 15, 2011

Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourself.

Measurement 166

Measurement Marketing Modeling Key Performance Indicator 166

CIO Business Intelligence

MARCH 25, 2024

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

Modeling 116

Modeling Cost-Benefit IT ROI 116

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 190

Machine Learning Modeling Testing Risk Management 190

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

Domino Data Lab

JANUARY 20, 2019

What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? Testing with Concept Activation Vectors (TCAV): The Zebra. Introduction. with post-training explanations? on a global level instead of a local level ?

Testing 63

Testing Modeling Machine Learning Data Science 63

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.

Metrics 283

Metrics Reporting Measurement Finance 283

Cloudera

OCTOBER 20, 2021

What are the key climate risk measurements and impacts? Stress testing was heavily scrutinized in the post 2008 financial crisis. In a BIS advisory report , it was highlighted that the stress testing scenarios used by the banks were insufficient to capture the extreme risks and fluctuations that were realized. Assess Variables.

Risk 80

Risk Modeling Risk Management Measurement 80

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

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Also, a column in the dataset indicates if each flight had arrived on time or late.

Modeling 88

Modeling Statistics Machine Learning Testing 88

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

DataRobot

MAY 27, 2021

Michael earned his MD and PhD degrees from Emory University, and today his research combines mathematical and epidemiological models with high-throughput phage-display–based serological laboratory investigations. In particular, Mina believes that our failure to test effectively has allowed COVID-19 to spread.

Testing 98

Testing Machine Learning Measurement Publishing 98

DataKitchen

OCTOBER 28, 2021

Machine learning (ML) models are computer programs that draw inferences from data — usually lots of data. One way to think of ML models is that they instantiate an algorithm (a decision-making procedure often involving math) in software and then, at relatively low cost, deploy it on a large scale. What Is AI Bias?

Testing 130

Testing IT Manufacturing Metrics 130

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. So, if you have 1 trillion data points (g.,

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

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

DataKitchen

OCTOBER 27, 2022

The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at various points in the process and measure. Is the model still predicting accurately? You can’t improve what you can’t measure. Is it late?

Dashboards 130

Dashboards Measurement Testing Modeling 130

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. Helping software developers write and test code Similarly in tech, companies are currently open about some of their use cases, but protective of others.

Enterprise 112

Enterprise Testing Digital Transformation Software 112

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 120

Data Quality Unstructured Data Testing Modeling 120

DataKitchen

MARCH 12, 2024

We kept adding tests over time; it has been several years since we’ve had any major glitches. DataKitchen helped us completely transform our operations by broadening our testing definition. Tests assess important questions, such as “Is the data correct?” Data errors can cause compliance risks.

Metrics 120

Metrics Software Cost-Benefit Testing 120

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

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 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 121

Testing Modeling Cost-Benefit Reporting 121

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

Domino Data Lab

JULY 17, 2021

The system here will identify, via some meaningful sense, which existing speakers’ model does the utterance match. If the unknown utterance is spoken by a speaker outside the list of existing speakers, the model will nonetheless map it to some speaker from that list. The existing applications of person authentication include :-.

Modeling 64

Modeling Testing Machine Learning Measurement 64

Cloudera

OCTOBER 14, 2020

Not many other industries have such a sophisticated business model that encompasses a culture of streamlined supply chains, predictive maintenance, and unwavering customer satisfaction. Step 1: Using the training data to create a model/classifier. Fig 2: Diagram showing how CML is used to build ML training models. The Process.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

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 82

Machine Learning Modeling Metadata Recreation/Entertainment 82

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

IT 100

IT Measurement Risk Testing 100

O'Reilly on Data

FEBRUARY 15, 2022

But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. Ethics is for beings who can make choices.

Testing 293

Testing Modeling Measurement IT 293

Timo Elliott

DECEMBER 11, 2023

At dinner the other day, my daughter was explaining a complex probability question in a recent mathematics test. My wife asked if she had the test paper, and suggested she put into ChatGPT to get help. But that’s what’s so confounding about the latest large language models. I’m sure everybody can relate with that idea.

Testing 69

Testing Measurement Modeling Software 69

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

IBM Big Data Hub

APRIL 15, 2024

To understand human behavior and how to change it, there are a few factors we must assess and measure, supported by the COM-B Behavior Change Wheel. First and foremost, we must reconsider our approach to initiatives, moving away from a solely awareness-focused, compliance-driven model.

Metrics 93

Metrics Measurement Risk Data Processing 93

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . Central DataOps process measurement function with reports. Agile ticketing/Kanban tools. Deploy to production.

Metrics 243

Metrics Experimentation Measurement Testing 243

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 80

Strategy Cost-Benefit Testing Manufacturing 80

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 84

Management IT Machine Learning Metrics 84

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. Phishing tests are usually part of broader security awareness training led by IT departments or security teams. The only difference is that recipients who take the bait (e.g.,

Testing 77

Testing Measurement Behavioral Analytics Reporting 77

CIO Business Intelligence

OCTOBER 27, 2023

Banking on product-based IT To develop the next generation of customer services, Lufthansa’s Digital Hangar has adopted new business operating models popular among organization’s pursuing digital transformation, Spannbauer says. The Digital Hangar also has a different operating model from previous digital teams at Lufthansa Group. “We

Digital Transformation 116

Digital Transformation B2B Measurement Modeling 116

DataKitchen

JANUARY 3, 2022

Business analytic teams have ongoing deliverables – a dashboard, a PowerPoint, or a model that they refresh and renew. Tests that verify and validate data flowing through the data pipelines are executed continuously. An impact review test suite executes before new analytics are deployed. Business Analytic Challenges.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Jen Stirrup

FEBRUARY 9, 2024

For example, India is also using AI to enhance weather forecasting and climate modelling. The Indian government is testing AI-powered climate models to improve weather forecasts across the country [3]. Artificial Intelligence is one way forward to tackling the issues of climate change.

Forecasting 104

Forecasting Measurement Testing Technology 104