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

OCTOBER 25, 2023

Enterprise use of AI tools will only grow, with industries like manufacturing leading the charge Our research shows that mirroring the broader AI trend, enterprises across industry verticals sharply increased their use of AI from May 2023 to June 2023, with sustained growth through August 2023.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

CIO Business Intelligence

MAY 21, 2024

Putting new models to work Labor-scheduling SaaS MakeShift is another organization looking beyond the LLM to help perform complex predictive scheduling for its healthcare, retail, and manufacturing clients. “We Instead, MakeShift is embracing what is being dubbed a new patent-pending large graphical model (LGM) from MIT startup Ikigai Labs.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. Salesforce’s solution is TransmogrifAI , an open source automated ML library for structured data.

Machine Learning 279

Machine Learning Software Metadata Testing 279

IBM Big Data Hub

APRIL 26, 2023

Jabil isn’t just a manufacturer, they are experts on global supply chain, logistics, automation, product design and engineering solutions. They are also interested and involved in the holistic application of emerging technologies like additive manufacturing, autonomous technologies, and artificial intelligence.

Business Analytics 76

Business Analytics Reporting Analytics Finance 76

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Clinical DSS. These systems help clinicians diagnose their patients. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

CIO Business Intelligence

JULY 28, 2023

To date, JLL has been developing classic AI models using cleaned and structured data in table format, Morin says. Currently, the company’s IT experts train algorithms to extract the most structured data on its leases; this data is then fed into the AI model.

Structured Data 98

Structured Data Data-driven Software Modeling 98

CIO Business Intelligence

APRIL 14, 2022

The knowledge of how much people make and how they spend and pay back loans may be useful for predicting a variety of questions for industries as diverse as healthcare, automotive, manufacturing, and retail. Companies with data turn to Snowflake to store and analyze it instead of building their own infrastructure.

Enterprise 138

Enterprise Marketing Measurement Data-driven 138

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

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

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

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). This results in enhancements in finance reporting or compliance.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

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

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

JULY 26, 2023

Anomaly detection: Some manufacturers have zero-defect goals. Image and video recognition systems can use AI to monitor each stage of manufacture , catching any discrepancies as early as possible. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

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. Consider data types.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

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. The first of which, Slate , was recently released.

IT 74

IT Data Governance Modeling Cost-Benefit 74

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

CIO Business Intelligence

APRIL 4, 2024

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We 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

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

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. We saw presentations showing the potential for knowledge graphs and LLM to complement each other.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

NOVEMBER 30, 2022

Jabil isn’t just a manufacturer, they are experts on global supply chain, logistics, automation, product design and engineering solutions. They are also interested in and invest heavily into the holistic application of emerging technologies like additive manufacturing, autonomous technologies, and artificial intelligence.

Reporting 52

Reporting Enterprise Finance Business Analytics 52

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). They were suffering rising costs and were struggling to provide real-time insight to demanding stakeholders.

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. versions).

Data Lake 104

Data Lake Unstructured Data Management Snapshot 104

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

O'Reilly on Data

APRIL 19, 2021

Healthcare and life sciences, at 28%, were in the middle, as were manufacturing (25%), defense (26%), and media (29%). Respondents working in government and manufacturing seem to be somewhat further along, with 49% and 47% evaluating AI, meaning that they have pilot or proof-of-concept projects in progress. form data).

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

IBM Big Data Hub

JULY 19, 2023

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. Manufacturing : Quality control and inspection, operator / lab tech training conversational search through SOP’s, content creation and more. The high-level pipeline for this process is shown in Figure 1.

Consulting 59

Consulting Machine Learning Manufacturing Optimization 59

Jet Global

FEBRUARY 14, 2022

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.”. In large organizations, this can require significant amounts of resource and (potentially) programming skills.

Finance 52

Finance Recreation/Entertainment Reporting Software 52

Anmut

APRIL 14, 2025

Example: A manufacturing firm with 1,000 machines might estimate that 20% are operating at suboptimal efficiency, costing an additional 500,000 annually in energy and maintenance costs. Get in touch If your organisation is struggling to assess and improve its data condition , consider implementing a structured data strategy.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52

AWS Big Data

NOVEMBER 14, 2024

Each AWS account has one Data Catalog per AWS Region. Each Data Catalog is a highly scalable collection of tables organized into databases. Modem Current ti 0.04 (Amps) These telemetry messages can vary based on the default configuration of the device terminal manufacturer or user definitions. Meters) GPS value Speed s 1.0 (km/h)

Data Lake 93

Data Lake Metadata Testing Data-driven 93