Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

Risk Management 71

Risk Management Risk Management Big Data 71

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent.

Enterprise 105

Enterprise Interactive Data-driven Key Performance Indicator 105

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime.

Technology 57

Technology Cost-Benefit Optimization Internet of Things 57

Jet Global

JUNE 18, 2019

Of all the transformative effects the internet has had on the world of business, none is more dramatic than the proliferation of data it has enabled. Big Business Needs Big Data. What is Big Data Analytics Software? Think of it as a historian, fortune teller, and advisor all in one.

Big Data 75

Big Data Software Data Analytics Analytics 75

CIO Business Intelligence

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Predictive Analytics 132

Predictive Analytics Analytics Machine Learning Digital Transformation 132

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

Jet Global

OCTOBER 3, 2019

Of all the transformative effects the internet has had on the world of business, none is more dramatic than the proliferation of data it has enabled. Big Business Needs Big Data. What is Big Data Analytics Software? Think of it as a historian, fortune teller, and advisor all in one.

Big Data 53

Big Data Software Data Analytics Analytics 53

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 77

Manufacturing Technology Internet of Things Cost-Benefit 77

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Sisense

JUNE 9, 2021

Gleaning actionable intelligence from disparate data sources. 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.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics.

Manufacturing 103

Manufacturing Forecasting Internet of Things Risk 103

IBM Big Data Hub

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads.

Machine Learning 91

Machine Learning Cost-Benefit IoT Data Warehouse 91

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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