Smart Data Collective

MAY 29, 2023

Overcoming representation bias necessitates comprehensive data collection efforts that cover a wide range of languages and dialects, ensuring equal representation and inclusivity. Labeling Bias: Impact on Model Performance The presence of labeling bias in AI translation systems will significantly impact the model’s performance.

Metrics 68

Metrics Measurement Data Collection Strategy 68

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., Dynamic sense-making, insights discovery, next-best-action response, and value creation is essential when data is being acquired at an enormous rate.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. The Active Data Ratio metric determines the percentage of datasets that deliver value.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Smart Data Collective

SEPTEMBER 14, 2022

To get the range data from this technology, you will start by projecting a laser beam at a surface or an object. Then, measure the time it takes for the reflected beam of light to reach the receiver. Due to the high accuracy that Lidar data are known for, many people adopt them for various applications.

Data-driven 125

Data-driven Big Data Cost-Benefit Measurement 125

Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. The report created a readiness model with five dimensions and various metrics under each dimension. The five dimensions of the readiness model are –.

IoT 52

IoT Modeling Metrics Measurement 52

CIO Business Intelligence

FEBRUARY 8, 2023

As a result, numerous essential concerns like data collecting and reporting, decision-making, and data optimization are being addressed. Measuring investment and determining ROI plays a big part in this and proving the ROI for customer experience is essential for organisations to continue investment and growth.

ROI 98

ROI Measurement Data Processing Strategy 98

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. According to Mohammed, the results of this digital transformation journey are measurable and impressive. js and React.js.

Digital Transformation 111

Digital Transformation Dashboards Reporting Data Science 111

Smart Data Collective

OCTOBER 8, 2023

The Power of Data Analytics: An Overview Data analytics, in its simplest form, is the process of inspecting, cleansing, transforming, and modeling data to unearth useful information, draw conclusions, and support decision-making. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 94

Data Analytics Analytics Statistics Data Collection 94

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. Instead, I built the AIgent. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

IBM Big Data Hub

APRIL 24, 2024

Some kinds of data, like biometrics and social security numbers, require stronger protections than others. Knowing how data moves through the network helps track usage, detect suspicious activity, and put security measures in the right places. The company conducts regular audits to keep the data inventory up to date.

Risk 69

Risk Measurement Data Governance Insurance 69

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

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. For a more in-depth review of scales of measurement, read our article on data analysis questions.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. 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 127

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 127

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations.

Machine Learning 220

Machine Learning Risk Management Statistics 220

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Preparing the Data for Analysis.

Marketing Analytics 94

Marketing Analytics Marketing Data-driven Analytics 94

Occam's Razor

AUGUST 13, 2012

Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. What's possible to measure. What's not possible to measure. Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

CIO Business Intelligence

APRIL 14, 2022

The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Smarter operations through integrated data and analytics. For example, a client in the oil and gas sector recently equipped their U.S.

Strategy 106

Strategy Digital Transformation IoT Measurement 106

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

CIO Business Intelligence

JUNE 5, 2023

These measures will drive decarbonization across the value chain and give CIOs the opportunity to leverage their expertise and build resiliency throughout their organizations. This opportunity to collaborate with sustainability in mind extends to the influence CIOs hold over where and how employees work.

Software 99

Software Measurement Visualization Business Objectives 99

Rocket-Powered Data Science

JULY 21, 2023

Organizations are able to monitor integrity, quality drift, performance trends, real-time demand, SLA (service level agreement) compliance metrics, and anomalous behaviors (in devices, applications, and networks) to provide timely alerting, early warnings, and other confidence measures.

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

Jet Global

FEBRUARY 8, 2023

. – February 8, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Power ON , a US-based software company that transforms Microsoft Power BI into a comprehensive planning and data collection solution.

Finance 59

Finance Data Collection Software Forecasting 59

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Examples: Cars, Trucks, Taxis. See [link]. Industry 4.0 2) Connected cars. (3)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

Data Science and Beyond

NOVEMBER 22, 2015

Contrary to common belief, the hardest part of data science isn’t building an accurate model or obtaining good, clean data. It is much harder to define feasible problems and come up with reasonable ways of measuring solutions. This post discusses some examples of these issues and how they can be addressed.

Data Science 92

Data Science Measurement Data Collection Modeling 92

datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. 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

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

Data is critical to these decisions, such as how to ramp up and support remote employees, re-engineer processes, change entire business models, and adjust supply chains. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

IBM Big Data Hub

FEBRUARY 9, 2023

Technology and data architecture play a crucial role in enabling data governance and achieving these objectives. Focus and prioritize what you’re delivering to the business, determine what you need, deliver and measure results, refine, expand, and deliver against the next priority objectives. Don’t try to do everything at once!

Data Governance 80

Data Governance Business Objectives Strategy Data Quality 80

Jet Global

MAY 21, 2020

Shrink budget and planning cycles by integrating budgeting, forecasting, and planning data with your ERP actuals in real-time. Have easy access to accurate historical data to evaluate potential educational program offering changes and determine whether current models are sustainable. Admissions and enrollment.

Finance 98

Finance KPI Forecasting Data-driven 98

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JULY 20, 2023

I’ll never forget the look on my first mortgage clients’ faces as they signed for their new home – the joy and relief washing over them in equal measure. After weeks of exhausting back-and-forth requests and paperwork transferred in ways that seem naively unsecure by today’s standards, their prize was the key to the front door.

Technology 98

Technology Finance Advertising Digital Transformation 98

BizAcuity

JULY 7, 2020

Each fragment of the business model needs to be closely observed to ensure that it is equipped with adequate depth in human resources. With respect to developments or changes in inbound markets, gaming data, player statistics, economic recovery speed, and more, adjust and reiterate core strategies. This too shall pass.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

CIO Business Intelligence

MAY 16, 2023

AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. This helps to ensure accuracy and neutrality.

Advertising 88

Advertising Recreation/Entertainment Experimentation Enterprise 88