AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network). QuickSight provides an ideal solution to meet these business needs.

Dashboards 78

Dashboards Statistics Data Collection Business Intelligence 78

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 The best architecture for that is called “event sourcing.” billion market by 2025.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). 7) Security (airports, shopping malls, entertainment & sport events). Edge Computing (and Edge Analytics): Industry 4.0: Examples: (1) Retail. (2) 2) Disaster Response.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 94

Manufacturing Cost-Benefit Data Lake Optimization 94

erwin

JUNE 11, 2020

Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies. Real-time data analytics can be used by businesses to better meet customer needs as it arises and improve customer satisfaction. Expanding big data.

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 95

Enterprise Interactive Data-driven Key Performance Indicator 95

IBM Big Data Hub

MAY 26, 2023

This digitalization and need to share medical data are driving the demand for precision medical technologies. Leading life sciences companies are discovering the power of cloud in enabling analytics and artificial intelligence (AI) , shrinking innovation cycles, and standardizing processes across global operations, among other benefits.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. For example, if a certain data point that is monitored violates a threshold, there can be a text message or trigger for a maintenance order on the line. So how to detect a failure?

Management 80

Management Broadcasting IoT Metrics 80

Rocket-Powered Data Science

JULY 6, 2021

The old models were not able to predict very well based on the previous year’s data since the previous year seemed like 100 years ago in “data years”. This is critical in our massively data-sharing world and enterprises. 4) AIOps increasingly became a focus in AI strategy conversations. will look like).

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 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 53

Strategy Management IoT Cost-Benefit 53

CIO Business Intelligence

AUGUST 15, 2023

Generac transforms its business with data Organization: Generac Power Systems Project: PowerInsights IT Leader: Tim Dickson, CIO After arriving at Generac Power Systems as its new CIO, Tim Dickson hosted the company’s first-ever hackathon to upskill IT employees and evaluate the team. Anu Khare, senior vice president and CIO, Oshkosh Corp.

IT 92

IT Manufacturing IoT Cost-Benefit 92

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. DaaS is an intelligent, cloud-based, multi-tenant offering for data processing, data storage and data analysis. The global commercial drone market is projected to grow from USD 8.15

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

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. Saving my best two.conf23 learning moments for last, first up is Splunk Edge Hub.

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Upcoming Events.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Sisense

JULY 23, 2021

All of this data is integral to learning and knowledge management.“While While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

Machine Learning 352

Machine Learning Statistics Data Quality Modeling 352

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 88

Internet of Things Cost-Benefit Data Processing IoT 88

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52