IBM Big Data Hub

MARCH 29, 2024

Challenge 1: Orchestrate relevant data The journey to generative AI begins with data management. According to the Rethink Data Report , 68% of data available to businesses goes unleveraged. Let’s look at some of those challenges to generative AI for asset performance management.

Management 91

Management Structured Data Modeling Data Governance 91

CIO Business Intelligence

OCTOBER 30, 2023

An estimated 90% of the global datasphere is comprised of unstructured data 1. And it’s growing rapidly, estimated at 55-65% 2 year-over-year and three times faster than structured data. Unstructured data is often not AI-ready, yet it holds some of the greatest value for organizations.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

FEBRUARY 20, 2024

Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach. Industrial knowledge graphs employ industry-standard metadata to contextualize and structure data so it can be used in large language models.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

MARCH 21, 2022

Data scientists often work with data analysts , but their roles differ considerably. Thus, the difference between the work of data analysts and that of data scientists often comes down to timescale. The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

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. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

Optimization 80

Optimization Manufacturing Cost-Benefit Risk 80

Cloudera

NOVEMBER 15, 2021

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Zettabytes per year.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

O'Reilly on Data

APRIL 19, 2021

The second-most significant barrier was the availability of quality data. The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. There’s no significant difference between these three continents in our 2021 data. form data). Asia has clearly caught up.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

CIO Business Intelligence

AUGUST 30, 2022

Companies are awash with information, each different department has their own KPIs and methods of reporting. But what CFOs really need if they are to perform their modern role well is not just data, but to be able to connect the dots and gain an holistic view. Financial Agility Comes from Financial Visibility.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. Product Innovation: use transaction data to create new products and services that meet the needs of their customers. Real-Time Payments and Wire Transfer).

Risk Management 118

Risk Management Cost-Benefit Risk Data-driven 118

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 Software Data-driven Modeling 98

CIO Business Intelligence

JANUARY 24, 2024

With nearly 800 locations, RaceTrac handles a substantial volume of data, encompassing 260 million transactions annually, alongside data feeds from store cameras and internet of things (IoT) devices embedded in fuel pumps.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Jet Global

OCTOBER 30, 2020

For leaders in the finance and accounting department, it can often be frustrating to have conversations with IT experts about your reporting needs. Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.”

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Similarly, the relational database has been the foundation for data warehousing for as long as data warehousing has been around.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Jet Global

NOVEMBER 5, 2020

Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Smarten

MAY 17, 2023

In relation to the ChatGPT trend, a recent Gartner report states that business should, “Recognize that this is a very early stage and a hyped technology” with potentially significant uses. Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.) “So, proceed, but don’t over pivot.”

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Analytics Vidhya

MAY 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Abstract In today’s report, we will analyze food items to predict. The post Food Classification Using Transfer Learning And TensorFlow appeared first on Analytics Vidhya.

Data Science 170

Data Science Publishing Reporting Analytics 170

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

APRIL 14, 2022

In this way, DaaS providers can improve your homegrown data warehouse by cross-fertilizing it with other, curated sources. Some DaaS vendors emphasize the ability of their tools to manage information, analyze the data, create reports, and support decision making. The area is rapidly growing. Informatica.

Enterprise 138

Enterprise Marketing Measurement Reporting 138

AWS Big Data

NOVEMBER 9, 2023

Flat files – Other systems supply data in the form of flat files of different formats. These files, stored in an SFTP location, might contain records, reports, logs, or other kinds of raw data that can be further processed and analyzed. It serves as a reliable, organized source for downstream data analysis.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

CIO Business Intelligence

NOVEMBER 14, 2022

Data-driven DSS. These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS). They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Octopai

JUNE 26, 2020

Why aren’t the numbers in these reports matching up? We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” In a panic, he went from desk to desk asking his teammates if they had been working on the same reports that day. They deal with tens if not hundreds of reports each day….

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Alation

JULY 13, 2021

Accompanying this acceleration is the increasing complexity of data. Many organizations continue to handle structured data, transactional data, and log data. Complex data management is on the rise. She has written hundreds of articles on data mining and information technology.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Ontotext

OCTOBER 19, 2023

In order to create an interoperable health data record, we should be able to integrate personal health data (which comes in various formats and structures and varying quality) into a shareable format with other systems and individuals. We are planning to develop or use AI-based tools for each of these problems.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

CIO Business Intelligence

DECEMBER 4, 2023

Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact. A modern information lifecycle management approach Today’s ILM approach recognizes the enterprise value of all digitized and enriched assets , avoiding the habituated, narrow reliance ontraditional structured data.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

JULY 19, 2023

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens.

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Getting started with AWS SCT is a straightforward process. Also, consider following the best practices for AWS SCT.

Testing 99

Testing Data Warehouse Metrics Cost-Benefit 99

AWS Big Data

JANUARY 12, 2024

Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake. Kinesis Data Streams is deployed as an ingestion layer for accelerated intake of structured and semi-structured data streams.

Data Lake 93

Data Lake Cost-Benefit Visualization Structured Data 93

DataRobot Blog

JANUARY 17, 2023

establishing an appropriate price illiquid securities, predicting where liquidity will be located, and determining appropriate hedge ratios) as well as more generally: the existence of good historical trade data on the assets to be priced (e.g., For price discovery (e.g., more liquid credits, bond futures, swaps markets, etc.).

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

CIO Business Intelligence

OCTOBER 25, 2023

Enterprises will likely gravitate to data loss prevention (DLP) technologies that allow them to create policies preventing the leakage of sensitive data like source code, structured data like credit card information, and PII. Deliver top-down visualization and reporting.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

Smart Data Collective

APRIL 20, 2020

One of these case studies centered around using big data to improve the state of invoicing. Mathias Golombek, CTO at Exasol, points to invoice processing as a specific example that illuminates the broader possibilities of using AI to automatically extract structured data from unstructured (or non-standard) formats,” the authors write.

Data-driven 77

Data-driven Software Big Data Structured Data 77

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Automating the cataloging of data assets saves initial development time and streamlines its ongoing maintenance and governance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

APRIL 18, 2023

The reporter who says or writes, you know, I watched a player in practice yesterday and her ankle’s hurting—that can have a real impact. Our systems let us incorporate that report with structured data to make better predictions.”

Recreation/Entertainment 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105