datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. and industries (healthcare, retail, logistics, manufacturing, etc.). Our first data dashboard template is a management KPI dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

AWS Big Data

NOVEMBER 26, 2024

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. For more examples and references to other posts on using XTable on AWS, refer to the following GitHub repository.

Metadata 101

Metadata Data Lake Snapshot Data Warehouse 101

CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

CDW Research Hub

AUGUST 17, 2020

If you need scalable storage units for unstructured data, this is where object storage wins. Object storage manages data as objects rather than the hierarchical system that we know as file storage. Examples of object storage are large sets of historical data, and unstructured data such as music, images and video.

Unstructured Data 97

Unstructured Data Metadata Manufacturing Enterprise 97

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

FEBRUARY 23, 2024

Naturally, advanced automation and robotic technology throughout the company’s 12 North American manufacturing plants relies on major advancements in digital technology. The key to a successful AI strategy, in part, is the quality and cleanliness of both structured and unstructured data, he says.

IT 122

IT Manufacturing Unstructured Data Strategy 122

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” ” (I prefer to call that “ soft numbers ,” but that’s another story.) The mess is far from over.

Machine Learning 336

Machine Learning Testing Modeling Cost-Benefit 336

Ontotext

JULY 20, 2023

Our state-of-the-art Conversational AI platform serves customers across various domains such as tourism, finance, retail, energy, manufacturing, etc. We take data from any number of data sources, model it in a knowledge graph, train our chatbots on it and use it to dynamically build dialogs in natural language.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Cloudera

FEBRUARY 8, 2021

Micheal Ger, Managing Director Manufacturing & Automotive at Cloudera summed up it best with the insight, “Imparting intelligence into connected cars is complex – involving hardware, software, and deep domain expertise. connected manufacturing, and connected vehicles, see more of his perspective at [link]. challenges.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Data Collection 108

CIO Business Intelligence

JUNE 6, 2023

Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data. Solid-state drives (SSDs) and non-volatile memory express (NVMe) enable faster data access and processing.

Manufacturing 98

Manufacturing Unstructured Data Optimization Software 98

CIO Business Intelligence

JUNE 14, 2023

Leveraging an open-source solution like Apache Ozone, which is specifically designed to handle exabyte-scale data by distributing metadata throughout the entire system, not only facilitates scalability in data management but also ensures resilience and availability at scale. Evaluate data across the full lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

IBM Big Data Hub

SEPTEMBER 13, 2023

For example, when a customer contacts the business via chat, email or social media, that text or voice recording is unstructured data that needs to be collected and analyzed as part of the interaction. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world.

Digital Transformation 88

Digital Transformation Consulting Unstructured Data Recreation/Entertainment 88

Jet Global

JUNE 18, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 75

Big Data Software Data Analytics Analytics 75

IBM Big Data Hub

MAY 19, 2023

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

Smart Data Collective

FEBRUARY 2, 2021

Also, thanks to Big Data, recruitment is now more accurate. Keep in mind that recruitment agencies have to deal with huge volumes of unstructured data, and analyzing all this data by traditional means is not only slow, but also ineffective. The post What Are the Industries That Benefit Most from Big Data?

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

CIO Business Intelligence

JULY 22, 2024

We didn’t spend as much time making our data easy to use.” It was difficult, for example, to combine manufacturing, commercial, and innovation data in analytics to generate insights. The lack of a corporate governance model meant that even if they could combine data, the reliability of it was questionable.

Data Governance 119

Data Governance Unstructured Data Technology Manufacturing 119

CIO Business Intelligence

JUNE 22, 2022

This is critical for the manufacturing, transportation, and oil and gas industries, where a network needs to connect multiple physical locations, with services requiring assured network bandwidth and latency. Huawei OptiXsense: Accelerating Pipeline Inspection.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

Cloudera

OCTOBER 28, 2021

There is a wealth of data now available to make this possible. For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Another example is fleet management.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

CIO Business Intelligence

SEPTEMBER 30, 2024

CIO.com / Foundry They also cited AI/ML capabilities in specific areas — such as risk management, fraud detection, smart manufacturing, predictive maintenance, quality control, and personalized employee engagement — as fueling transformation. Everyone is looking at AI to optimize and gain efficiencies, for sure.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production.

Analytics 95

Analytics Unstructured Data IoT Visualization 95

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Underpinning everything with security and governance.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

SEPTEMBER 7, 2023

And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 53

Big Data Software Data Analytics Analytics 53

IBM Big Data Hub

DECEMBER 19, 2023

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. By use case: content may also support multiple research and drug manufacturing use cases.

Unstructured Data 46

Unstructured Data Metadata Big Data Enterprise 46

FineReport

FEBRUARY 5, 2020

Manufacturing industry dashboard made with FineReport. Explore and analyze data with a series of common and special charts. Self-service data preparation is essentially letting the BI system automatically handle the logical association between data. From the time being, this trend is quite obvious.

Metadata 98

Metadata Dashboards Informatics Visualization 98

IBM Big Data Hub

FEBRUARY 14, 2024

Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

AWS Big Data

MARCH 25, 2024

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. For building such a data store, an unstructured data store would be best.

Data Lake 112

Data Lake Unstructured Data Management Snapshot 112

Cloudera

DECEMBER 3, 2020

A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. The data being captured in forms of structured and unstructured data can unlock new insights.

Insurance 53

Insurance Unstructured Data Data-driven Manufacturing 53

CIO Business Intelligence

JULY 26, 2023

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency.

Metadata 87

Metadata Big Data Optimization Machine Learning 87