Cloudera

JUNE 11, 2024

Structured and Unstructured Data: A Treasure Trove of Insights Enterprise data encompasses a wide array of types, falling mainly into two categories: structured and unstructured. 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

IBM Big Data Hub

JULY 26, 2023

Discover the current and emerging use cases for AI in waste management, optimization, energy reduction and ESG reporting. Inventory optimization is important to ensure you have enough stock while also meeting customer demand. Anomaly detection: Some manufacturers have zero-defect goals.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

IBM Big Data Hub

JUNE 26, 2023

The auto parts manufacturers caught in it are facing the problem of how to survive and grow against the increasingly fierce competition. The Intelligent Manufacturing Department of Yanfeng Auto hopes to work with IBM CSM team to explore the way of building up its intelligent inventory platform with predictive capabilities.

Software 61

Software Manufacturing Optimization Dashboards 61

CIO Business Intelligence

DECEMBER 13, 2023

Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Cloudera

OCTOBER 28, 2021

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. There is a wealth of data now available to make this possible. This results in enhancements in finance reporting or compliance.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

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. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

IBM Big Data Hub

AUGUST 15, 2023

Healthcare, retail, financial services, manufacturing—whatever the industry, business leaders want to know how using data can give them a competitive advantage and help address the post-COVID challenges they face each day. How will you empower teams to make use of your data?

IT 74

IT Data Governance Modeling Cost-Benefit 74

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. That’s a huge quantity of data even when compared to other businesses, and this volume will only grow.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

FineReport

FEBRUARY 5, 2020

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Manufacturing industry dashboard made with FineReport. Explore and analyze data with a series of common and special charts. Management, security and architecture of the BI platform.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. In some data migration activity we’ve observed a 40% increase in various steps along the way and an increase in speed.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

Jet Global

FEBRUARY 18, 2020

People often forget his next statement: “90 percent of all that new data is unstructured.” So if we think historically about companies with an ERP, they’re typically using structured data (strictly defined and classified), and they’re not very proactive about pushing insights toward users.

Data-driven 64

Data-driven Machine Learning Cost-Benefit ROI 64

Cloudera

OCTOBER 17, 2023

So we bet big on Flink in 2020 and started developing tooling to bring it to the enterprise, and have a mature Flink product used by customers in banking, telco, manufacturing, and IT, (link here). Cloudera perspective: Data streams are part of a much broader data lifecycle. Stay tuned for plenty more on that topic!

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

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.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

FineReport

APRIL 11, 2023

Free Download of FineReport Benefits and limitations of Business Intelligence Dashboard (BI Dashboard) BI dashboards have become essential tools for enterprises to extract valuable insights from their expanding data repositories, which often encompass structured, unstructured, and semi-structured data.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Domino Data Lab

MARCH 3, 2019

Business vertical was another important priority for differentiating trends in ML practices: finance services, healthcare and lifesciences, telecom, retail, government, education, manufacturing, etc. There are essentially four types encountered: image/video, audio, text, and structured data.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens.

Consulting 59

Consulting Machine Learning Manufacturing Optimization 59

Jet Global

FEBRUARY 14, 2022

Digital technology provides the only realistic way of rendering large volumes of data into a usable form in a practical timeframe. Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common data models will be key enablers of a more holistic process.”.

Finance 52

Finance Recreation/Entertainment Reporting Software 52

AWS Big Data

NOVEMBER 14, 2024

Additionally, Data Firehose converts JSON data to Parquet format before delivering it to Amazon S3, optimizing data consumption by tools like Amazon Athena , which are ideal for partitioned data formats. Each AWS account has one Data Catalog per AWS Region. Meters) GPS value Speed s 1.0 (km/h)

Data Lake 105

Data Lake Metadata Testing Data-driven 105