Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. Real-Time Weather Insights.

Forecasting 131

Forecasting Data Analytics Analytics IoT 131

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS.

Analytics 90

Analytics IoT Metadata Internet of Things 90

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 smart factories that make up Industry 4.0

Reporting 96

Reporting Cost-Benefit Internet of Things Data-driven 96

CIO Business Intelligence

AUGUST 16, 2023

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. The same data can also be used to pay drivers for how they drive, and monitor production capacity.

Risk 88

Risk Cost-Benefit Digital Transformation Internet of Things 88

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Predictive Business Analytics. How Business Intelligence Will Change in 2020.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Sisense

OCTOBER 15, 2020

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. The best architecture for that is called “event sourcing.”

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

erwin

JUNE 11, 2020

Apply real-time data in marketing strategies. With real-time analytics, businesses are able to utilize information such as regional or local sales patterns, inventory level summaries, local event trends, sales history, or seasonal factors in reviving marketing models and strategies and directing them to better serve their customers.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

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 103

Enterprise Interactive Data-driven Key Performance Indicator 103

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. This allows you to act on data locally and aggregate and filter device data. AWS IoT Greengrass provides prebuilt components that can be deployed to the edge. So how to detect a failure?

Management 77

Management Broadcasting IoT Metrics 77

datapine

NOVEMBER 19, 2019

That way, any anomaly is identified with high accuracy, as it learns from historical trends and patterns: every unexpected event will be notified, and an alert sent. Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. Internet of Things.

Technology 279

Technology Internet of Things IT IoT 279

Rocket-Powered Data Science

JULY 6, 2021

While it is similar to MLOps, AIOps is less focused on the ML algorithms and more focused on automation and AI applications in the enterprise IT environment – i.e., focused on operationalizing AI, including data orchestration, the AI platform, AI outcomes monitoring, and cybersecurity requirements. will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

IBM Big Data Hub

JULY 5, 2023

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.

Strategy 56

Strategy Management IoT Cost-Benefit 56

Rocket-Powered Data Science

JULY 21, 2023

My strong interest hasn’t diminished, and neither has Splunk’s developments and product releases in that space, as seen in observability’s prominent mention within many of Splunk’s announcements at this year’s.conf23 event.

Machine Learning 189

Machine Learning Metrics Reporting Internet of Things 189

Sisense

JULY 23, 2021

Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”. Athletes and sports are the heart of the Games, and the competition schedule drives everything around the event. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

MARCH 20, 2024

All major public cloud providers continuously update and maintain their infrastructure and leverage the highest data protection and security requirements to prevent data breaches. artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Innovation: Access cutting-edge technologies (e.g.,

Internet of Things 96

Internet of Things Cost-Benefit Data Processing IoT 96