Analytics Vidhya

NOVEMBER 19, 2021

In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples. If we use the same labeled examples for testing our model […].

Machine Learning 352

Machine Learning Testing Data Science Optimization 352

Smart Data Collective

OCTOBER 13, 2022

Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. Assembly Line Optimization. Assembly line optimization is a process that allows companies to identify and optimize their production processes, from the design phase to the assembly line.

Testing 113

Testing Cost-Benefit Experimentation Optimization 113

Smart Data Collective

MAY 18, 2022

A high-quality testing platform easily integrates with all the data analytics and optimization solutions that QA teams use in their work and simplifies testing process, collects all reporting and analytics in one place, can significantly improve team productivity, and speeds up the release. This is not entirely true.

Testing 108

Testing Data Analytics Analytics Big Data 108

Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. Figuring out the best pricing model can be tricky. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions.

Machine Learning 125

Machine Learning Optimization Software Modeling 125

CIO Business Intelligence

APRIL 10, 2024

The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure it would need to build and train its huge AI models and quickly determined that buying and maintaining the hardware would be prohibitively expensive. Clark says.

IT 119

IT Testing Optimization Modeling 119

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. This allows for the pipelining of incredibly complex inference models.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

CDW Research Hub

JUNE 23, 2020

As virtual desktop infrastructure (VDI) gains popularity among enterprises across multiple industries, and with many desktops migrating to the cloud, testing your virtual desktop environment has never been so important. Here are three reasons why testing is so important before setting up a virtual desktop environment.

Testing 92

Testing Strategy Data Processing Enterprise 92

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

JULY 15, 2021

Pandemic “Pressure” Testing. However, through this real-time “pressure test”, they identified areas of weakness, dependencies, and opportunities. Across the industry, the pandemic caused a huge breakdown in model performance due to the change in macroeconomic conditions and government stimulus packages. Regulatory oversight.

Risk 96

Risk Optimization Management Insurance 96

Cloudera

DECEMBER 20, 2022

With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

KDnuggets

APRIL 21, 2022

Nota AI has launched the beta testing for NetsPresso Model Search, a hardware-aware autoML tool which searches and finds optimized models for a target device.

Modeling 82

Modeling Testing Optimization 82

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 120

Data Quality Unstructured Data Testing Modeling 120

erwin

JANUARY 9, 2020

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. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

O'Reilly on Data

FEBRUARY 16, 2023

That’s what beta tests are for. Large language models like ChatGPT and Google’s LaMDA aren’t designed to give correct results. The ability of these models to “make up” stuff is interesting, and as I’ve suggested elsewhere , might give us a glimpse of artificial imagination.

Testing 211

Testing Statistics Modeling Optimization 211

Jedox

JUNE 24, 2021

They specialize in technology infrastructure, data and analytics of the go-to-market processes to measure the effectiveness of each channel, the overall performance of the marketing program and the sales organization, and support customer, product and market analysis and A/B testing. Collaboration and integration are key.

Sales 94

Sales Marketing Optimization Metrics 94

CIO Business Intelligence

FEBRUARY 9, 2024

The two new features, namely a testing center and the provision of prompt engineering suggestions, are the fruit of significant investment in the company’s AI engineering team, said Claire Cheng, vice president of machine learning and AI engineering at Salesforce.

Testing 135

Testing Enterprise Modeling Machine Learning 135

Decision Management Solutions

APRIL 8, 2020

Over the last few weeks we’ve blogged a couple of times on Decision Optimization. The Customer Journey to Decision Optimization. Many rely on gut feelings and sniff tests. Instead of arguing about decision-making, you can model decision-making. Its all clearly defined in the model.

Modeling 72

Modeling Optimization Metrics Testing 72

Smarten

JUNE 14, 2023

GPT, or Generative Pre-Trained Transformer, is a Large Language Model (LLM). If we are to safely and securely optimize its potential, GPT must be managed as it evolves. But it is crucial to understand the current state of AI and GPT and its limitations. Its analytical and mathematical skills are still in question.

Optimization 52

Optimization IT Digital Transformation Consulting 52

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Cloudera

OCTOBER 20, 2021

How do institutions protect and optimize their balance sheets and portfolios? 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.

Risk 78

Risk Modeling Risk Management Measurement 78

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 127

Enterprise Modeling Testing Data-driven 127

KDnuggets

SEPTEMBER 5, 2019

In this TensorFlow tutorial, you’ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython.

Optimization 50

Optimization Testing Modeling 50

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

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

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. The creators of generative AI systems and Large Language Models already have tools for monitoring, modifying, and optimizing them.

Metrics 284

Metrics Reporting Measurement Finance 284

IBM Big Data Hub

NOVEMBER 24, 2023

While rebuild results in maximum benefit, there is a need for high degree of investment, whereas rehost is about moving applications and data as such to cloud without any optimization and this requires less investments while value is low. Subsequent phases are build and test and deploy to production.

Cost-Benefit 100

Cost-Benefit Testing Data-driven Enterprise 100

Smart Data Collective

MARCH 28, 2019

Their main focus on collecting big data has been to optimize their business functions. Big data is being used for more effective marketing, optimal customer service, expediting research and development, maximizing product quality and much more. There are a number of Wifi signal testing apps that rely on big data to do this.

IoT 90

IoT Big Data Internet of Things Optimization 90

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

IBM Big Data Hub

APRIL 5, 2024

With data nearly everywhere, organizations often possess an existing repository acquired from running traditional HPC simulation and modeling workloads. In the automotive industry, intelligent simulation speeds up innovation in new models. However, in today’s market, consumers demand rapid releases of new models.

Manufacturing 71

Manufacturing Testing Enterprise Modeling 71

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

Dataiku

JUNE 9, 2020

In the last few years a lot of research has been done into how to automate the process of building machine learning models. To answer that, we’d need an independent team to test all the software packages under controlled conditions on a wide range of datasets. There is now a wide array of open source libraries offering AutoML.

Optimization 66

Optimization Machine Learning Testing Software 66

CIO Business Intelligence

NOVEMBER 20, 2023

The inner loop comprises activities directly related to creating the software product: coding, building, and unit testing. The outer loop comprises activities related to putting the code into production: integration, testing, release, and deployment. Then we complemented these with the following four “opportunity-focused metrics.”

Measurement 126

Measurement Metrics Software Testing 126

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? Based on these estimators, SAS created an easy to use what-if dashboard.

Optimization 52

Optimization Machine Learning Insurance Risk 52

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. Your Chance: Want to test a professional logistics analytics software? A testament to the rising role of optimization in logistics.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

JANUARY 18, 2024

This level of optimism in the face of massive disruptive change may spring from common attributes that make decision-makers true leaders: vision and adaptability. “As Optimism aside, the true test is in how well organizations will master the changes to the nature of work that AI enables. As you learn, you adjust.

Finance 126

Finance Machine Learning Risk Management Optimization 126