Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 79

Data Analytics Analytics Data Collection Statistics 79

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 100

Business Intelligence Predictive Analytics Data Collection Internet of Things 100

Smart Data Collective

MARCH 8, 2021

Big data eliminates all the guesswork and allows fleet managers to make purely informed decisions. All in all, the concept of big data is all about predictive analytics. Such data is great for introducing revamped maintenance practices. Predictive analytics takes care of both direct and indirect costs.

Big Data 142

Big Data Management Predictive Analytics Statistics 142

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources.

Big Data 98

Big Data IoT Cost-Benefit Advertising 98

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

JULY 5, 2022

Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. This is the purview of BI.

Business Analytics 127

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 127

InsightOut

FEBRUARY 1, 2023

We all collect things if we think they hold value. Most founders and executives know that there is significant value in data collection. Turns out, you have invaluable data collecting layers of dust in countless spreadsheets. To be at the top of the game.

Data Analytics 52

Data Analytics Analytics Dashboards Visualization 52

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

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 96

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 96

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 91

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 91

Smart Data Collective

JUNE 29, 2022

Predictive Analytics. Artificial intelligence works best when paired with real-time data. With financial technology apps, predictive analytics has a number of benefits. Predictive analytics is helpful not just for consumers. AI can detect unusual patterns in behavior to prevent threats.

Cost-Benefit 83

Cost-Benefit Predictive Analytics Finance Forecasting 83

CIO Business Intelligence

SEPTEMBER 19, 2023

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

InsightOut

FEBRUARY 1, 2023

We all collect things if we think they hold value. Most founders and executives know that there is significant value in data collection. Turns out, you have invaluable data collecting layers of dust in countless spreadsheets. To be at the top of the game.

Data Analytics 40

Data Analytics Analytics Dashboards Visualization 40

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

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” In their view a coherent data architecture “helps traditional corporations translate technical investments into user-centric co-inventions.”

Machine Learning 103

Machine Learning Data Architecture Uncertainty Data-driven 103

CIO Business Intelligence

MARCH 3, 2023

Metrics help NHL support sustainability goals The National Hockey League (NHL) is leveraging data and analytics to measure the carbon footprint of its teams’ venues and to glean insights into best practices for its sustainability goals, notable given the league’s venues’ dependence on energy to maintain their ice.

Data Analytics 91

Data Analytics Analytics Measurement Metrics 91

CIO Business Intelligence

NOVEMBER 1, 2023

One of the first use cases of artificial intelligence in many companies, including both Michelin and Albemarle, was predictive maintenance, which at its most basic level is an algorithm trained on data collected by sensors. Companies that don’t embrace generative AI will become obsolete.”

Enterprise 119

Enterprise Digital Transformation Modeling Interactive 119

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

JULY 20, 2023

From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics.

Technology 71

Technology Forecasting Advertising Machine Learning 71

Cloudera

SEPTEMBER 22, 2022

The next step leads to performing exploratory, descriptive analytics, “why is this happening,” and so on. Finally, the end goal is to enable proactive, predictive analytics — “what if” — using applied ML and AI to better predict what will happen and recommend actions to prevent or manage activities as necessary.

Analytics 98

Analytics Insurance IoT Risk 98

CIO Business Intelligence

MARCH 23, 2022

Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly. Data governance, ownership and validity issues rise to the surface and must be addressed.

Technology 87

Technology IoT Internet of Things Data-driven 87

Decision Management Solutions

JUNE 19, 2019

Carriers know that leveraging customer data and predictive analytics at the individual customer level is the best way to accomplish these goals of driving revenue, building loyalty, and increasing customer retention.

Insurance 75

Insurance Consulting Predictive Analytics Interactive 75

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Vehicle data processing allows to increase industry standards and design better solutions for maximum benefits.

Software 124

Software Machine Learning B2B Manufacturing 124

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

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. Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

Enterprise 100

Enterprise Interactive Data-driven Key Performance Indicator 100

CIO Business Intelligence

APRIL 12, 2022

This includes contextual insights, predictive analytics, and anomaly detection for all your apps, along with a topology view of the infrastructure supporting these apps. Relevant datasets: There is no AI without relevant data – lots of relevant data. AIOps can be designed ground-up with data collection at its heart.

Digital Transformation 143

Digital Transformation B2B Enterprise IoT 143

datapine

MAY 2, 2023

Sensors on delivery trucks, weather data, road maintenance data, fleet maintenance schedules, real-time fleet status indicators, and personnel schedules can all be integrated into a system that looks at historical trends and gives advice accordingly.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

SEPTEMBER 26, 2022

In B2B or B2C circles, a 360-degree view of customers or citizens offers a holistic, comprehensive picture of a person based on data collected from all touch points. Data and trustworthy AI also provide predictive analytics for insights that can solve some of the most pressing health issues, including hunger and food insecurity.

B2B 52

B2B Visualization Data-driven Cost-Benefit 52

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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. What is AI marketing?

Marketing 82

Marketing Technology Advertising ROI 82

Smart Data Collective

AUGUST 26, 2021

Hyperlocal weather intelligence platforms gather weather data from various on-ground sources, such as smartphones, CCTV cameras, smart bins, connected cars, etc. The data collected from these devices is analyzed to predict the weather at a particular location. Hadoop has also helped considerably with weather forecasting.

Forecasting 129

Forecasting Data Analytics Analytics IoT 129

Howard Dresner

AUGUST 28, 2013

Titles include: What Influences Value of Predictive Analytics? Watch Out for the Credibility Gap in BI Data, Make Sure the Heat is on for Business Intelligence, Involve Customers and Suppliers in Your BI Chain and Are You Ready for the Mobile BI Diamond? We'll be sending out another email when data collection begins.

Business Intelligence 45

Business Intelligence Data Collection Predictive Analytics Marketing 45

IBM Big Data Hub

FEBRUARY 14, 2024

Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

IBM Big Data Hub

AUGUST 7, 2023

It offers enhanced capabilities to analyze complex and large volumes of comprehensive recruitment data to accurately forecast enrollment rates at study, indication, and country levels. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 56

Optimization Forecasting Data-driven Strategy 56

Data Science 101

OCTOBER 31, 2019

Data Collection. After defining the goals in the previous step, it is essential to collect data. This could involve using data that already exists in a company’s database, getting data from external resources or steps to collect new data through survey forms filled by customers. Regression.

Data mining 77

Data mining KDD Data Science Forecasting 77

Smart Data Collective

APRIL 22, 2020

The United States’ $2 trillion Coronavirus Relief Bill involves spending $500 million to implement a “ public health surveillance and data collection system.” ” Jake Laperruque, representing the D.C.-based

Big Data 109

Big Data Machine Learning Risk Interactive 109