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. This isn’t surprising; if you’re collecting data from several weather stations and one of them malfunctions, you would expect to see anomalous data.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

NOVEMBER 7, 2023

Lexmark uses a data lakehouse architecture that it built on top of a Microsoft Azure environment. This has enabled every function to embrace data to make decisions, like which products to manufacture, how to price them, how much inventory to hold, and even predict when each device that we have deployed will break down,” Gupta says.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. There are several styles of data integration.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

CIO Business Intelligence

JANUARY 9, 2024

After generative AI burst onto the scene, Nicholas Colisto, senior vice president and CIO of multinational manufacturer Avery Dennison, had worked to get his company to embrace its potential. “AI Can the current state of our data operations deliver the results we seek? What can we reasonably achieve given resource constraints?

IT 140

IT Risk Cost-Benefit Machine Learning 140

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

Smarten

APRIL 19, 2024

The value of an AI-focused analytics solution can only be fully realized when a business has ensured data quality and integration of data sources, so it will be important for businesses to choose an analytics solution and service provider that can help them achieve these goals.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

IBM Big Data Hub

OCTOBER 12, 2023

Security and privacy —When all data scientists and AI models are given access to data through a single point of entry, data integrity and security are improved. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Wayne Yaddow

FEBRUARY 6, 2025

Domain-Specific & Complex Business Logic : Pertains to specialized rules and procedures driven by a particular industry or field, such as finance, healthcare, or manufacturing. As new data sources, dependencies, and compliance requirements emerge, adapting mitigation techniques will prevent disruptions and maintain data integrity.

Testing 52

Testing Data Transformation Data-driven Manufacturing 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 87

Consulting B2B Sales Cost-Benefit 87

Ontotext

MARCH 8, 2023

Use Case #6: Data Quality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

OCTOBER 29, 2024

Good data provenance helps identify the source of potential contamination and understand how data has been modified over time. This is an important element in regulatory compliance and data quality. AI-native solutions have been developed that can track the provenance of data and the identities of those working with it.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

CIO Business Intelligence

APRIL 9, 2025

Revisiting the foundation: Data trust and governance in enterprise analytics Despite broad adoption of analytics tools, the impact of these platforms remains tied to data quality and governance. edge compute data distribution that connect broad, deep PLM eco-systems.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

CIO Business Intelligence

FEBRUARY 18, 2025

Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy. Data trust is simply not possible without data quality. A decision made with AI based on bad data is still the same bad decision without it.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90

Jet Global

APRIL 18, 2025

government announced tariff increases worth over $835 billion across critical manufacturing and technology imports. Increasing Business Agility With Better Data Quality In the face of macroeconomic uncertainty and regulatory complexity, the real competitive edge lies in the quality of your data.

Finance 52

Finance Reporting Operational Reporting Uncertainty 52