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 At Eaton, for example, an AI-based sales forecasting tool has the potential to boost productivity dramatically.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

CIO Business Intelligence

DECEMBER 13, 2023

The evolution of AI and the use of structured and unstructured data When discriminative AI rose to prominence in sectors such as banking, healthcare, retail, and manufacturing, it was primarily trained on and used to analyze, classify, or make predictions about unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

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

IBM Big Data Hub

JULY 26, 2023

AI helps address this problem by combining aspects like demand forecasting, last – mile delivery , and routing optimization. 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.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

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

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

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 Unstructured Data 87

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

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. versions).

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

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