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

What are the key climate risk measurements and impacts? How do institutions protect and optimize their balance sheets and portfolios? Stress testing was heavily scrutinized in the post 2008 financial crisis. Scenarios can be analyzed and pressure tested to understand the impact of an event, before it happens.

Risk 79

Risk Modeling Risk Management Measurement 79

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. DataOps ensures that the data retrieved is relevant, high-quality, and up-to-date.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

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. If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric.

Marketing 362

Marketing Experimentation Metrics Testing 362

Jedox

JUNE 24, 2021

The description of the sales funnel is often used: individual stages of the sales process enable the measurement of key figures from the first contact to the conclusion with a signed contract or product purchased. Maximizing business value through improved collaboration is key to long-term optimization of marketing and sales operations.

Sales 95

Sales Marketing Optimization Metrics 95

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

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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

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

CIO Business Intelligence

MARCH 3, 2024

Its conclusions were less than optimal. 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. uniFLOW is one such tool offered by Canon.

IT 111

IT Measurement Risk Testing 111

CIO Business Intelligence

MARCH 27, 2024

Organizations can also start testing the algorithms in their environments and check their supply chain partners are doing the same. The types of models we run in the bank every day are closely matched to the types of models a quantum computer can consume.”

Optimization 140

Optimization Consulting Machine Learning Testing 140

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 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

CIO Business Intelligence

DECEMBER 19, 2023

Be proactive and serve with empathy It cannot be stressed enough how important it is to be active in ensuring that all services delivered to end users are fully vetted and tested to the point where there’s no room for complaints. The following nine tips will help get your there.

IT 139

IT Testing Metrics Optimization 139

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

IBM Big Data Hub

DECEMBER 4, 2023

AAR Corp, a private provider of aviation services, is considering the use of generative AI to optimize inventory management, provide predictive maintenance, improve warehouse operations and automate parts ordering. Create digital twins : Aircraft designers and MRO companies frequently create virtual models of products or systems.

Optimization 71

Optimization Testing Machine Learning Measurement 71

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 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. 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. We also measure response time since this is a near real-time system. ” Watsonx.ai

Management 82

Management IT Machine Learning Metrics 82

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. The results showing the impact of flooding, predictions for the future and reasons for optimism were fascinating.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Occam's Razor

SEPTEMBER 19, 2011

How do you get over the frustration of having done attribution modeling and realizing that it is not even remotely the solution to your challenge of using multiple media channels? We have to do Search Engine Optimization. Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions.

Measurement 119

Measurement Advertising Testing Marketing 119

CIO Business Intelligence

AUGUST 25, 2023

But things go awry and when they do, Proctor & Gamble now employs its Hot Melt Optimization platform to catch snags and get the process back on track. The resulting platform was pilot tested for nine months at one P&G plant before being rolled out half of P&G’s Pampers manufacturing plants across the US.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. Instead, they can write system prompts, natural-language instructions that tell the AI model what to do. None of the following measures are foolproof, so many organizations use a combination of tactics instead of relying on just one.

Risk 87

Risk Modeling Measurement Enterprise 87

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Technological risk—security AI algorithms are the parameters that optimizes the training data that gives the AI its ability to give insights.

Insurance 71

Insurance Risk Testing Data Quality 71

CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. The maturity of any development organization can easily be measured in terms of the size and type of investment made in QA,” he says.

Software 131

Software Experimentation Testing Cost-Benefit 131

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. As models evolve in the future to become fully multi-modal, they [will be] able to traverse different types of data.”

Digital Transformation 136

Digital Transformation Insurance Recreation/Entertainment Machine Learning 136

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

AWS Big Data

MARCH 27, 2024

By testing the solution against key metrics, a POC provides insights that allow you to make an informed decision on the suitability of the technology for the intended use case. Complete the implementation tasks such as data ingestion and performance testing. Analyze the data and then optimize as necessary.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

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

datapine

JULY 26, 2022

Your Chance: Want to test a small business dashboard software? Small business metrics are performance measurements that provide insights into the progress of different activities and company goals. This will allow you to constantly spot improvement opportunities as well as test the success of different strategies in real-time.

Dashboards 151

Dashboards KPI Metrics Sales 151

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 93

Cost-Benefit Modeling Manufacturing Interactive 93

CIO Business Intelligence

MAY 31, 2022

As a result, many companies are hampered by their processes, and will continue to be so until those processes are optimized. BPM tools provide organizations with a systematic approach to managing and optimizing their business processes by helping organizations design, model, implement, and measure workflows and business rules.

Enterprise 104

Enterprise Management Interactive Software 104

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Smart Data Collective

SEPTEMBER 13, 2023

For instance, used Dell servers , which are refurbished, offer the same performance as Dell servers of the same make and model; however, they come for a fraction of the cost. Regular audits act as a preventive measure, which is more cost-effective than dealing with post-breach consequences. Financial health.

IT 99

IT Cost-Benefit Data Processing Software 99

CIO Business Intelligence

MAY 12, 2022

While viable general-purpose quantum computing is still a way off, D-Wave Systems has just deployed its third cloud-based quantum annealing system and has updated its coding tools to tackle new categories of enterprise optimization problems. But not all qubits, which are a measure of a quantum computer’s processing capacity, are equal.

Optimization 98

Optimization Enterprise Optimization Data Processing Marketing 98

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. Unless the model is understood and followed, it could lead to data, applications, and cloud workloads being exposed to security vulnerabilities.

Management 98

Management Data Processing Risk Digital Transformation 98

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

CIO Business Intelligence

MARCH 13, 2024

We did side-by-side testing,” he says. AI models are able to present best practice code systems to help junior developers learn and hone their skills.” In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing. What if writing code wasn’t the real issue?”

IT 128

IT Consulting Testing Cost-Benefit 128