IBM Big Data Hub

MARCH 7, 2023

From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat frequency or every rise and drop in blood oxygen level. The worldwide statistics on premature births are staggering— the University of Oxford estimates that neonatal sepsis causes 2.5

Risk 52

Risk Technology Informatics Predictive Modeling 52

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly.

Data Collection 76

Data Collection Big Data Statistics Software 76

CIO Business Intelligence

JANUARY 17, 2024

But to get to this point, the organization has had to rely on technology for decades as a strategic tool. 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. js and React.js.

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. Energy: Forecast long-term price and demand ratios.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

MARCH 23, 2022

Digital transformation goes beyond implementing technological resources — it also requires change in thinking and strategy. CIO MIddle East: How would you describe the healthcare technology landscape in Lebanon? CIO MIddle East: How have advancements in technology impacted Mount Lebanon Hospital?

Digital Transformation 87

Digital Transformation Statistics Data Collection Technology 87

Smart Data Collective

JANUARY 9, 2022

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority. Assists Advertisers.

Big Data 135

Big Data Data Analytics Advertising Analytics 135

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. This Earth Day, we are calling for action to conserve our scarcest resource: the planet.

IoT 80

IoT Internet of Things Cost-Benefit Reporting 80

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. Source: [link].

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. Quantitative analysis refers to a set of processes by which numerical data is analyzed. It is the sum of the values divided by the number of values within the data set.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

DECEMBER 9, 2021

Businesses already have a wealth of data but understanding your business will help you identify a data need – what kind of data your business needs to collect and if it collects too much or too little of certain data. Collecting too much data would be overwhelming and too little – inefficient.

Big Data 128

Big Data Data-driven Key Performance Indicator Testing 128

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

AWS Big Data

MAY 16, 2023

Although it’s complex and expensive to modernize distribution networks, many utilities choose to use their capital through the application of smart sensor technologies. Furthermore, based on the use case, utilities normally apply sensor technologies from different vendors. Managing such a large number of devices can be challenging.

Dashboards 82

Dashboards Statistics Data Collection Business Intelligence 82

Smart Data Collective

MARCH 27, 2020

The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Marital status. Safety Features.

Insurance 108

Insurance Measurement Risk Cost-Benefit 108

Smart Data Collective

NOVEMBER 18, 2020

Using data sources also enables you to deal with updated information because site visitors have always been turned off by websites with outdated information. Data sources play a very important role in making sure content creators and marketers, scholars and students have access to statistical and factual information.

Big Data 130

Big Data Statistics Recreation/Entertainment Finance 130

Smart Data Collective

NOVEMBER 11, 2020

However, just like other traditional sports and hobbies, it is not immune to changes brought on by new technology. Since its conception, many individual athletes and teams have optimized their performances with the latest technology while enhancing entertainment value for fans. Big Data and Golf Game. Final Thoughts.

Big Data 81

Big Data Scorecard Statistics Cost-Benefit 81

CIO Business Intelligence

MARCH 21, 2022

Data scientist is also proving to be a satisfying long-term career path, with Glassdoor’s 50 Best Jobs in America rank data scientist the third-best job in the US. A data scientist’s chief responsibility is data analysis, which begins with data collection and ends with business decisions based on analytic results.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Career Relevance.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Top 15 data science bootcamps.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

Smart Data Collective

APRIL 29, 2021

Big data has evolved from a technology buzzword into a real-world solution that helps companies and governments analyze data, extract the meaningful statistics, and apply it into their specific business needs. It’s not so much the realization that this information is collected, but what can be effectively done with it.

Big Data 95

Big Data Forecasting Unstructured Data Statistics 95

Sisense

SEPTEMBER 3, 2020

Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

BizAcuity

JULY 7, 2020

With respect to developments or changes in inbound markets, gaming data, player statistics, economic recovery speed, and more, adjust and reiterate core strategies. Get equipped with the right technology, including contactless systems. Earlier, marketing campaigns were highly dependent on data. This too shall pass.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

Smart Data Collective

JUNE 28, 2021

Kayla Mathews addressed this trend in a blog post last year : “Walmart is one of the major e-commerce brands contributing to the data center boom. Data centers can meet that goal while equipping brands to discover new, compelling ways to keep pace with customer demands,” Mathews wrote. Price optimization and possible promotions.

Management 87

Management Big Data Data Processing Advertising 87

FineReport

APRIL 15, 2020

Davis Wright Tremaine advised that employers should take the following considerations into account to determine if work from home may be possible: Operational requirements; Security of work data; Technological capabilities and equipment necessary to perform job duties; Productivity; and. Download template.

Visualization 52

Visualization Statistics Dashboards Data Collection 52

Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. billion by 2025. Identify Opportunities.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

FineReport

JUNE 29, 2023

Advanced levels of IoT analytics dashboards facilitate the identification of statistical trends, enabling the use of data for predictive failure analysis and extracting precise information and correlations from datasets. Generally, the primary objective of any IoT device in a connected environment is data collection.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Smart Data Collective

NOVEMBER 14, 2019

SAS admits that the predictive analytics technology they have worked on has progressed more slowly than they originally anticipated. They have found that the technology is revolutionizing their industry, as they offer their services in various markets. Advances in digital data collection and predictive analytics should help them.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

FineReport

MAY 18, 2024

Education benefits from data visualization by enhancing learning experiences through interactive visual aids. Understanding the roots of data visualization provides insight into its evolution and widespread adoption across various sectors.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Ontotext

DECEMBER 15, 2023

It includes only ML papers and related entities; this SPARQL query shows some statistics: papers tasks models datasets methods evaluations repos 376557 4267 24598 8322 2101 52519 153476 We can start with these repositories (most of them are on Github) and get all their topics. We can start with a connecting dataset like LinkedPapersWithCode.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Smart Data Collective

JUNE 20, 2019

. My colleagues and I at Smart Data Collective have written extensively about the benefits of big data in fields like marketing, hospitality and cybersecurity. We sometimes realize that we need to discuss the implications of big data for other fields as well. Machine learning technology can assist with this.

Machine Learning 67

Machine Learning Big Data Statistics Data Collection 67

Smart Data Collective

DECEMBER 8, 2020

The driving force behind this trend is mostly down to the rising concern people have over their online privacy and the unregulated data collection that has been going on silently in the background for many years. What is a VPN, and how does it work?

Big Data 111

Big Data Data-driven Software Statistics 111