AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. You can collect metrics and events and analyze them for operational efficiency.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

IBM Big Data Hub

MARCH 8, 2024

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

IoT 98

IoT Broadcasting Internet of Things Technology 98

Cloudera

AUGUST 18, 2021

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. Florian Baumann, CTO for automotive and AI at Dell EMC, during a recent Cloudera digital event, Industry 4.0 – Made Real.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Cloudera

JANUARY 29, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, or that the Connected Car market will be valued at $225b by 2027 with a 17% growth rate. Mass Data Fragmentation / Difficulty Ingesting all Data . Speaking at this digital event is: .

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

Smart Data Collective

DECEMBER 20, 2019

As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. From retail and commerce to manufacturing, the technology continues to do some pretty amazing things in nearly every sector. The civil engineering field is no exception.

IoT 59

IoT Internet of Things Measurement Reporting 59

Sisense

JULY 23, 2021

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. “We’ve We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 89

Reporting Internet of Things Cost-Benefit Data-driven 89

AWS Big Data

NOVEMBER 14, 2023

NHL EDGE technology in the puck and players’ sweaters (jerseys) generate thousands of data points every second for the NHL, which can be analyzed by AWS to predict likely outcomes for key events like face-offs. Customers with real-time streaming data strategy are at the cutting edge of providing innovative products with generative AI.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Sisense

JUNE 9, 2021

Football teams rely on huge amounts of data drawn from countless sources to take their play to the next level: Internet of Things sensors and other devices connected to the internet use GPS to track players and the ball’s movement in real time. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. That way, any unexpected event will be immediately registered and the system will notify the user.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

JULY 12, 2023

Enterprises are often defined by how they deal with events that are out of their control. Good contingency plans prioritize the risks an organization faces, delegate responsibility to members of the response teams and increase the likelihood that the company will make a full recovery after a negative event.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

AWS Big Data

MAY 23, 2023

For instance, in a predictive maintenance scenario, you could use several Internet of Things (IoT) devices to monitor the vibrations produced by an electric motor with the objective of detecting anomalies and preventing unrecoverable damage. When a new data point arrives, a new subsequence that includes the new event is formed.

Data Analytics 92

Data Analytics Analytics Visualization Key Performance Indicator 92

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. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Domino Data Lab

MAY 8, 2019

Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events. measure the subjects’ ability to trust the models’ results. Having more data is generally better; however, there are subtle nuances.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Predictive Analytics 132

Predictive Analytics Analytics Machine Learning Digital Transformation 132

CIO Business Intelligence

JUNE 22, 2022

At the same time, 5G adoption accelerates the Internet of Things (IoT). Given that the value of insight decreases over time, the more time that has lapsed between a business event, the less time an organisation has to analyse the data that affects business-critical decisions.

IoT 85

IoT IT Manufacturing Internet of Things 85

IBM Big Data Hub

AUGUST 11, 2023

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.

Software 68

Software Manufacturing Cost-Benefit ROI 68

IBM Big Data Hub

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Function-as-a-Service (FaaS) is a subset of SaaS in which application code runs only in response to specific events or requests.

Cost-Benefit 99

Cost-Benefit Digital Transformation Software Modeling 99

IBM Big Data Hub

MARCH 20, 2024

ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

IBM Big Data Hub

FEBRUARY 9, 2024

trillion parameters), suggested as much at MIT’s Imagination in Action event last April: “I think we’re at the end of the era where it’s going to be these giant models, and we’ll make them better in other ways,” he predicted. Sam Altman, CEO of OpenAI (whose GPT-4 model is rumored to have around 1.76

Cost-Benefit 95

Cost-Benefit Modeling Data-driven Enterprise 95