CIO Business Intelligence

APRIL 12, 2024

Computer vision skills are important for helping AI systems with image classification, object detection and recognition, 3D reconstructions, biometric data collection, and motion tracking and analysis.

Deep Learning 123

Deep Learning IT Machine Learning IoT 123

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Smart Data Collective

OCTOBER 8, 2023

Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 91

Data Analytics Analytics Statistics Data Collection 91

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

Smart Data Collective

OCTOBER 30, 2021

It is obvious that Netflix does collect and process user data and uses them to recommend shows or movies to watch on Netflix. But what data does it actually process? Watch history is only one part of the data collected and processed by them. Is it only watch history? Surprisingly, the answer is No.

Big Data 111

Big Data Data Collection Testing Modeling 111

IBM Big Data Hub

SEPTEMBER 28, 2023

Based on initial IBM Research evaluations and testing , across 11 different financial tasks, the results show that by training Granite-13B models with high-quality finance data, they are some of the top performing models on finance tasks, and have the potential to achieve either similar or even better performance than much larger models.

Testing 94

Testing Finance Enterprise Modeling 94

IBM Big Data Hub

DECEMBER 18, 2023

RUM data provides the real-time information needed to make these decisions at network speed, optimizing applications and services in a highly granular, customizable way. How is RUM data collected and processed? NS1 Connect adds JavaScript tags to that web property which collect information about inbound user traffic.

IT 71

IT Metrics Optimization Testing 71

Jet Global

JANUARY 22, 2021

Longview Tax from insightsoftware is a corporate-wide application used to collect financial data, calculate current and deferred taxes, forecast the effective tax rate, produce tax relevant roll-forward reports, and assist in preparing the income tax footnote (for financial statement reporting purposes). Stage five: Testing.

Testing 98

Testing Software Reporting Forecasting 98

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

CIO Business Intelligence

MARCH 27, 2024

FAW’s new Technology Innovation Space is a smart industrial campus for testing intelligent and New Energy Vehicles (NEV).

Manufacturing 52

Manufacturing Digital Transformation IoT Testing 52

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 237

Machine Learning Recreation/Entertainment Risk Business Objectives 237

CIO Business Intelligence

MARCH 30, 2022

For example, transactions that are unusually small might be a sign of fraud, with criminals testing out a card number or account to be sure that it works. This new approach has been tested over the past year and will be rolled out into production in the second quarter of this year, he says. They test a lot.”.

Machine Learning 144

Machine Learning Risk Testing Data-driven 144

Smart Data Collective

SEPTEMBER 27, 2022

Data silos have become one of the biggest restraints with using linear manufacturing processes. Even when a manufacturer adopts advanced process solutions, the legacy data collection problem remains in isolated channels. Does the platform eliminate your data silos into one accessible source of truth?

Manufacturing 113

Manufacturing Internet of Things Software Testing 113

datapine

MAY 2, 2023

Your Chance: Want to test a professional logistics analytics software? 10 Essential Big Data Use Cases in Logistics Now that you’re up to speed on the perks of investing in analytics, let’s look at some practical examples that highlight the growing importance of data in logistics, based on different business scenarios.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Data Science 101

NOVEMBER 1, 2023

Several professionals and organizations like using a tool that uses a 10-second eye-tracking test to quickly score and present data that an expert can interpret and use in their separate assessments. That data can then be used by a professional–a certified athletic trainer, doc, nurse, or researcher–to interpret later.

Software 59

Software Testing Visualization Marketing 59

AWS Big Data

FEBRUARY 26, 2024

It empowers businesses to explore and gain insights from large volumes of data quickly. Amazon OpenSearch Ingestion is a fully managed, serverless data collection solution that efficiently routes data to your OpenSearch Service domains and Amazon OpenSearch Serverless collections. Choose the Test tab.

Dashboards 60

Dashboards Testing Metrics Optimization 60

DataKitchen

MARCH 16, 2023

Errors can originate from various sources, including data collection, integration, models, visualization, governance, and security. Organizations will make better-informed, data-driven decisions by minimizing errors and avoiding the negative consequences of relying on inaccurate information.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

O'Reilly on Data

JULY 28, 2020

There is no such thing as “raw data,” and hence, no pure, unadulterated, unbiased data. Data is always historical and, as such, is the repository of historical bias. Data doesn’t just grow, like trees; data is collected, and the process of data collection often has its own agenda.

Testing 135

Testing Statistics Recreation/Entertainment Software 135

Smart Data Collective

AUGUST 2, 2022

Vehicle data processing allows to increase industry standards and design better solutions for maximum benefits. Data collected with these technologies provide insights for autonomous driving solutions. Artificial intelligence and machine learning solutions are changing the automotive industry at every level.

Software 124

Software Machine Learning B2B Manufacturing 124

CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis.

Risk 98

Risk Cost-Benefit Digital Transformation Internet of Things 98

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

Decision Management Solutions

FEBRUARY 8, 2021

in partnership with IBM and other organizations is in the process of conducting performance tests on the world’s first autonomous ship and is due to set sail for its first transatlantic voyage this spring. I think you’ll see the parallels with Decision Management as the story unfolds. Marine AI—based in Plymouth, U.K.—in

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smart Data Collective

MARCH 28, 2022

Prescriptive data analytics: It is used to predict outcomes and necessary subsequent actions by combining the features of big data and AI. They can be again classified as random testing and optimization. This includes studying factors like test scores, teacher performances, and graduation rates.

Data Analytics 82

Data Analytics Software Analytics Statistics 82

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 103

Advertising Recreation/Entertainment Experimentation Enterprise 103

Cloudera

JUNE 2, 2022

Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 99

Enterprise Data Lake Data Collection Data-driven 99

Smart Data Collective

AUGUST 11, 2022

Although the primary goal of AI is to enhance data quality, not all data collected is of high quality. However, Ai uses algorithms that can screen and handle large data sets. Therefore, algorithm testing and training on data quality are necessary. Faster and Better Learning.

Data Quality 126

Data Quality Machine Learning Digital Transformation Big Data 126

CIO Business Intelligence

JUNE 5, 2023

CEOs believe new technology will allow them to reach sustainability goals and build resilience, with 55% of CEOs enhancing sustainability data collection capabilities, and 48% transitioning to a cloud infrastructure. The CIO’s role in delivering this technology will be essential.

Software 104

Software Measurement Visualization Business Objectives 104

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

Smart Data Collective

MARCH 8, 2021

Data analysis is a field for imagination: as a fleet manager, you need to think, build and test hypotheses taking into account the specifics of the T&L industry. In the era of big data, advanced data analytics enable multiple decisions to be made throughout the vehicle’s lifecycle.

Big Data 142

Big Data Management Predictive Analytics Statistics 142

Cloudera

SEPTEMBER 29, 2021

Big companies provide the testing ground for their smaller counterparts. Before mid-size firms can start spending on data management platforms and analytics tools, they seek assurances of a pay-off. Data Management Complexity — Collecting, organizing and integrating data is a complex undertaking.

Data-driven 75

Data-driven Data Collection Strategy Enterprise 75

CIO Business Intelligence

JULY 13, 2022

Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Data Science 101

JANUARY 15, 2020

Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. We randomly recruit subjects for that.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

FEBRUARY 13, 2023

Larger is Better involves a “lower specification limit,” such as test scores — where the target is 100%. Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. Improve the process by eliminating root causes of defects through innovative solutions.

Management 97

Management Statistics Manufacturing Measurement 97

Ontotext

FEBRUARY 12, 2024

This calls for additional planning, documentation, and testing. A data mesh will likely require more engineers to get started, so a critical mass is needed for successful adoption. Each team should be accountable for providing their prepared data sets to downstream systems.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69