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

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

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 132

Analytics Data Science Unstructured Data Data mining 132

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 82

Risk Cost-Benefit Digital Transformation Internet of Things 82

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 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

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

AWS Big Data

JULY 13, 2023

Vega Cloud’s platform is based on the FinOps Foundation’s best practices and removes the confusion behind the business value of cloud services and accelerates strategic decisions while maintaining cost optimization. QuickSight enables our product team to ship product quickly and rapidly test customer feedback and assumptions.

Cost-Benefit 75

Cost-Benefit Dashboards Optimization Visualization 75

Smart Data Collective

MARCH 28, 2022

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Businesses can use it to optimize their performance.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

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 123

Analytics Data Science Statistics Unstructured Data 123

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly. Choose the Test tab.

Dashboards 62

Dashboards Testing Metrics Optimization 62

Smart Data Collective

FEBRUARY 24, 2022

The more information you can gather about people’s misunderstandings and struggles they often go through, the better it’ll be for optimizing the processes and interface within your product or strengthening your onboarding process. How data can optimize your onboarding process. Data analytics importance.

Data Analytics 110

Data Analytics Analytics Visualization Optimization 110

Decision Management Solutions

FEBRUARY 8, 2021

On the contrary, optimal decision-making is based on the marriage of artificial intelligence technologies and business rules (created by humans)—and this is what makes real-world scenarios possible. The engineering team fused data from multiple sensors, along with information from weather surveillance radar, to develop a hazard chart.

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

CIO Business Intelligence

JUNE 5, 2023

Optimize internal technology Today, CIOs can influence everything from hardware procurement and the way developers write code for their company, to how IT gathers, processes, distributes and stores data—all of which impact a company’s carbon footprint. The CIO’s role in delivering this technology will be essential.

Software 100

Software Measurement Visualization Business Objectives 100

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

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

Finance 98

Finance IT Software Reporting 98

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. AI can help marketers create and optimize content to meet the new standards.

Marketing 85

Marketing Technology Advertising ROI 85

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

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 111

Cost-Benefit Internet of Things Data-driven Data Lake 111

FineReport

MAY 18, 2024

Unlike bar charts that represent categorical data, histograms display frequency distributions of continuous variables. In scientific research, histograms are commonly used to illustrate the distribution of test scores among students, providing insights into performance patterns and areas for improvement.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Smart Data Collective

MAY 29, 2022

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. Companies need all of this data in a structured manner to improve their decision—making capabilities.

Data Analytics 133

Data Analytics Analytics Strategy Insurance 133

bridgei2i

MARCH 9, 2021

They can provide detailed insights on human errors that slow down supply chains, reasons why test times are increased, and easily recognize possible factors preventing the optimization of supply chains. Public Data Analysis: AI systems can assess vast amounts of data collected from social media platforms and other public forums.

Technology 52

Technology Deep Learning Data-driven Optimization 52

IBM Big Data Hub

MAY 26, 2023

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. Cloud is transforming the way life sciences organizations are doing business.

Consulting 79

Consulting Cost-Benefit Optimization Machine Learning 79

IBM Big Data Hub

FEBRUARY 23, 2024

It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. Optimal for handling repetitive, straightforward queries, they are best suited for businesses with simpler customer interaction requirements.

Enterprise 105

Enterprise Interactive Data-driven Key Performance Indicator 105

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Generative AI can speed and optimize product design by helping companies create multiple design options.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

DataRobot

OCTOBER 20, 2021

The distinction between various data roles: Understanding data roles (i.e., data engineers, data scientists, machine learning engineers, etc.) Raising the level of data literacy in an organization is critical as more and more industries turn to AI. Data Literacy for Responsible AI. WHITE PAPER.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

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 62

Enterprise Data Lake Data Collection Data-driven 62

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 76

Management Statistics Manufacturing Measurement 76

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications. MLOps and IBM Watsonx.ai

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

Smart Data Collective

NOVEMBER 6, 2019

With this kind of growth, data collection and use are essential to the Cannabis industry in many ways. The access to a vast amount of data, allows growers to optimize for environmental changes and variables and can even change the strain of the product,” she writes. You can also use the data to test new clients.

Big Data 48

Big Data Marketing Advertising Testing 48

Juice Analytics

MARCH 30, 2021

To bridge the gap between data and an audience, the data author has a complex job. The author must decide what data is most important to focus on to answer the questions at hand, and how to optimally harness and depict data to inform thinking and action. Effective communication with data is a rare skillset.

Cost-Benefit 131

Cost-Benefit Statistics Metrics Dashboards 131

Ontotext

FEBRUARY 14, 2024

First of all, although it is transformer-based, it is very efficient on CPU’s, as the architecture is heavily optimized and inference through the different modules happens in one forward pass. This makes it an effective and cost-efficient system for extracting entities from large-scale data collections.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

FineReport

JUNE 29, 2023

Data Collection The components required for your specific case may vary depending on your goals and the data to be visualized. Generally, the primary objective of any IoT device in a connected environment is data collection.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

FineReport

JUNE 7, 2023

To promote cohesion, collaboration, intelligence, and profitability within your company’s strategic activities, whether large or small, adopting an online data visualization approach is paramount. Quality Assessment : Any quality testing conducted during the project should be reported, along with any identified issues.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52