Sisense

MARCH 14, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Domino Data Lab

MARCH 11, 2021

TensorFlow has added several important new features: Deploying on multiple platforms – improved compatibility for mobile devices, IoT and other environments, using the SavedModel format that allows you to export Tensorflow models to virtually any platform. It is one of the best tools available for data mining and analysis.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Cloudera

MAY 15, 2019

Some use cases require data to be available in near real-time, to make timely decisions and improve the customer experience. The analytics and data platform is powering different data needs, use cases, and growth. American Water will share how bringing IoT to fleet management can provide value to the customer.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Ad hoc query, data mining, information I’m still not finding.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. 5) The emergence of Edge-to-Cloud architectures clearly began pushing Industry 4.0 will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 130

Data Warehouse Data Lake Visualization Big Data 130

BizAcuity

MARCH 31, 2022

Integrating IoT and route optimization are two other important places that use AI. The healthcare industry stores ridiculously high amounts of big data- both structured and unstructured for research & development, population health management, technological innovations, patient health history and their medical reports management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

MAY 11, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

FineReport

MARCH 31, 2024

Acting as a comprehensive solution, the best BI tools collect and analyze company data to generate easily interpretable graphs, reports, and charts , leveraging advanced data mining, analytics, and visualization techniques.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52