Analytics Vidhya

JULY 26, 2023

Several factors, like inadequate surveys, sensor data with missing readings, or text with missing words, can lead to their existence. appeared first on Analytics Vidhya. One of the most frequent issues in machine learning is sparse datasets.

Machine Learning 250

Machine Learning Analytics 250

Analytics Vidhya

JUNE 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction When we mention BigData, one of the types of data usually talked about is the Streaming Data. Streaming Data is generated continuously, by multiple data sources say, sensors, server logs, stock prices, etc.

Data Science 331

Data Science Publishing Analytics Big Data 331

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

AUGUST 25, 2023

That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Analytics Vidhya

SEPTEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Airflow is open-source and comes pre-packed with many operators, hooks, sensors, and much more, covering a […]. Airflow is open-source and comes pre-packed with many operators, hooks, sensors, and much more, covering a […].

Data Science 267

Data Science Publishing Marketing Management 267

Analytics Vidhya

SEPTEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. PEAS stands for Performance evaluation, Environment, Actuators, and Sensors. Agents understand their environment through sensors and perform relevant actions using Actuators. Introduction We saw the importance of PEAS representation in the article here.

Strategy 208

Strategy Data Science Publishing Analytics 208

ScienceSoft

MAY 8, 2018

Sensor data analytics has the potential to turn your manufacturing enterprise into a competitive business. To achieve that, first read this article and learn sensor analytics essentials.

Manufacturing 45

Manufacturing Data Analytics Analytics Enterprise 45

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. New cars are laced with various sensors, instruments, and cameras that capture a wealth […]. New cars are laced with various sensors, instruments, and cameras that capture a wealth […].

Data Science 234

Data Science Publishing Analytics 234

Rocket-Powered Data Science

SEPTEMBER 25, 2022

The digital twin is more than a data collector. It is an insight engine, providing not only data for descriptive and diagnostic analytics applications, but also providing essential data for predictive and prescriptive analytics applications. 4) The DT Canvas (chapter 4)! 6) Specific Industry 4.0

Diagnostic Analytics 214

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 214

Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

Manufacturing 133

Manufacturing Marketing Data Analytics Analytics 133

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Internet of Things 169

Internet of Things IoT Analytics Optimization 169

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Analytics Vidhya

APRIL 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. First, The post Introduction to Autonomous Navigation – LIDAR, Sensor Fusion, Kalman Filter appeared first on Analytics Vidhya. Introduction This article is an introduction to autonomous navigation.

Data Science 191

Data Science Publishing Analytics Deep Learning 191

CIO Business Intelligence

DECEMBER 19, 2023

Smart video analytics Real-time intelligent video analytics is a relatively new public transportation technology that can provide additional data to help public safety officials and transit operators and managers make more informed decisions. This has produced a number of interesting technology use cases.

Technology 114

Technology Internet of Things Risk Reporting 114

CIO Business Intelligence

MAY 6, 2022

Google Cloud Platform (GCP) is set to release two new solutions targeted at the manufacturing sector and aiming to ease data engineering and analytics tasks, unifying data from diverse machine assets to offer business insights to factory managers. Edge-cloud connection helps data extraction.

Manufacturing 138

Manufacturing Analytics Machine Learning IoT 138

AWS Big Data

MAY 16, 2023

Although it’s complex and expensive to modernize distribution networks, many utilities choose to use their capital through the application of smart sensor technologies. The sensors provide analysts with fault waveforms and alerts in addition to graphical representation of regular loads.

Dashboards 76

Dashboards Statistics Data Collection Business Intelligence 76

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

Analytics 93

Analytics Unstructured Data IoT Visualization 93

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 101

Manufacturing Digital Transformation Predictive Analytics Strategy 101

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. These steps usually occur in that order, but not always.

Software 135

Software Machine Learning Behavioral Analytics Risk 135

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Sisense

AUGUST 24, 2021

Taking a cue from personalized medicine and making judicious use of embedded pharma analytics can evolve apps to help practitioners deliver better care and patients achieve better outcomes. >>> Infusing analytics into apps and workflows seems daunting. Analytics help practitioners and patients: Potential use cases.

Analytics 98

Analytics Interactive ROI Marketing 98

Smart Data Collective

OCTOBER 16, 2023

This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

Cloudera

SEPTEMBER 15, 2021

That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Fast-changing Data.

IoT 117

IoT Analytics Internet of Things Data Lake 117

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise. Learn more about the business case for social responsibility.

Manufacturing 108

Manufacturing Forecasting Technology Software 108

CIO Business Intelligence

APRIL 6, 2022

At the time, much of the focus centered around collecting data from small sensors affixed to everything and then transporting that data to a central location – like the cloud or main data center. These data flows then had to be correlated into what is commonly referred to as sensor-fusion.

IoT 94

IoT Internet of Things Data-driven Manufacturing 94

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

Analytics 91

Analytics IoT Cost-Benefit Big Data 91

AWS Big Data

NOVEMBER 15, 2023

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. Keynotes Several keynotes will shine a spotlight on data. Keynotes Several keynotes will shine a spotlight on data.

Broadcasting 111

Broadcasting Recreation/Entertainment Data Governance Strategy 111

CIO Business Intelligence

NOVEMBER 14, 2023

You can’t manage what you can’t measure, and y our network is more than a data conduit—it’s your office intelligence center. As an IT decision maker, it’s up to you to transform your network for the future so it can anticipate worker needs, reduce energy usage, reinforce security, and deliver real-time data for a faster path to innovation.

IoT 73

IoT Internet of Things Optimization Measurement 73

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

3AG Systems

NOVEMBER 23, 2021

Why does manufacturing analytics not live up to expectations? The granddaddy of manufacturing analytics was SCADA, and SCADA is ancient. As an aside here, many companies treat these “analytics products” the same way they would a new machine. What is manufacturing analytics? We think there are two driving forces here.

Manufacturing 40

Manufacturing Analytics Optimization Data Integration 40

CIO Business Intelligence

FEBRUARY 17, 2023

The blueprint of that transformation, which is based on Google Cloud Platform and its core microservices, was designed roughly two years ago but its implementation — which first involves migrating data to the cloud and then implementing analytics — has just begun. Today, the company uses Tableau and PowerBI for analytics.

Digital Transformation 103

Digital Transformation IoT Manufacturing Sales 103

IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. Fine-tuning data insights with enhanced collaboration and expertise Downer continuously works to enhance operational efficiency, minimizing maintenance costs and impacts to transportation schedules.

Predictive Modeling 68

Predictive Modeling Data-driven Modeling Forecasting 68

AWS Big Data

JANUARY 26, 2023

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Data Analytics 84

Data Analytics Analytics IoT Publishing 84

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. Manufacturers who want to get ahead must understand data’s role and value.

Manufacturing 78

Manufacturing Contextual Data IoT Digital Transformation 78