Alation

SEPTEMBER 9, 2021

These decisions aren’t done in a silo; for senior leadership to make educated decisions to adopt innovation and move the business forward, they need access to the right data. Enabling data access is just the first step. This data also needs to meet quality standards to be trusted. Unlock Market Insight.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. We asked Christine Quan, Sisense BI Engineer in sales, how she thinks data helps product development, and she said, Indeed, data enables a company to understand its customers better.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Ontotext

AUGUST 17, 2023

The use cases span all the things near and dear to most C-level executives’ hearts – driving more revenue, improving operational efficiency, reducing risk, or increasing innovation and agility. ” (See “Market Guide for Graph Database Management Systems”, Published 30 August 2022, by Merv Adrian and Afraz Jaffri).

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Digging into quantitative data. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Previously, Greentube faced numerous constraints created by data silos and lack of real-time analytic capabilities. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

APRIL 15, 2022

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. A similar example includes an algorithm trained with a data set that included scans of the chests of healthy children.

Analytics 142

Analytics Machine Learning Insurance Testing 142

Cloudera

AUGUST 21, 2021

It must support a variety of data sources to enable timely and relevant services to meet customer needs effectively while maintaining flexibility to adjust to evolving market developments. . Addressing new customers and markets. Personalizing the customer experience. The need for speed.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Ontotext

MAY 5, 2023

Thanks to their modularity, ontologies can be easily modified, expanded or refined to accommodate new concepts, regulations or market developments as the industry evolves. Example: Refinitiv PermID Refinitiv reuses part of FIBO’s Entities and Corporate bodies ontology when publishing company data in the permid.org related products.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Cloudera

OCTOBER 19, 2023

The consolidation wave Another consideration is a likely wave of consolidation driven by the desire among larger telcos to distribute the burden of technological investment, leverage economies of scale, gain competitive advantages in existing markets, or expand into new markets.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

IBM Big Data Hub

APRIL 4, 2024

Through BPM, disparate data sources—including spend data, internal performance metrics and external market research—can be connected. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

Management 54

Management Cost-Benefit Metrics Consulting 54

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Know what data you have.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

IBM Big Data Hub

AUGUST 11, 2023

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization. Reduce risk, maintain compliance and increase ROI with applications built on 30+ years of market-leading technology.

Software 68

Software Manufacturing Cost-Benefit ROI 68

IBM Big Data Hub

MAY 9, 2023

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

IBM Big Data Hub

OCTOBER 20, 2023

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. Generative AI capabilities Content generator: Generative AI refers to deep-learning models that can generate text, images and other content based on the data they were trained on.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

IBM Big Data Hub

DECEMBER 20, 2023

Today, hybrid cloud security platforms combine artificial intelligence (AI) , machine learning and automation to ingest high volumes of complex security data, enabling near-real-time threat detection and prediction. shifting legacy apps to the cloud).

Strategy 94

Strategy Cost-Benefit Digital Transformation Optimization 94

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. What Is An Interactive Dashboard? 13) Dynamic Text Boxes/Images.

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

JANUARY 9, 2024

In Japan, AI prioritizes efficiency and precision, while in Brazil, it emphasizes warmth and engagement, reflecting each market’s cultural values. Open source AI models In 2024, open source pretrained AI models gain significant traction, empowering businesses to accelerate growth by combining these models with private or real-time data.

Data-driven 100

Data-driven Risk Modeling Marketing 100

Alation

NOVEMBER 11, 2021

This framework maintains compliance and democratizes data. It enables collaboration, even as your data landscape grows larger and more complex. Active data governance improves efficiency, minimizes security risks, and improves the quality and usability of data. Data Sovereignty and Cross?Border

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

DECEMBER 8, 2022

It’s true that data governance is related to compliance and access controls, supporting privacy and protection regulations such as HIPAA, GDPR, and CCPA. Yet data governance is also vital for leveraging data to make business decisions. The Data Governance Market: Evolution and Dynamics. Policy management.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52