CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Data storage costs are exploding.

Management 138

Management Internet of Things Data-driven Data Science 138

CIO Business Intelligence

FEBRUARY 6, 2025

While this process is complex and data-intensive, it relies on structured data and established statistical methods. This is where an LLM could become invaluable, providing the ability to analyze this unstructured data and integrate it with the existing structured data models.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I urge early adopters to think of this as an extension of their existing efforts to get the data and associated processes within your organization defined, managed, and governed.

Modeling 98

Modeling Management Structured Data Data Architecture 98

AWS Big Data

DECEMBER 17, 2024

These improvements collectively reinforce Amazon Redshifts focus as a leading cloud data warehouse solution, offering unparalleled performance and value to customers. General availability of multi-data warehouse writes Amazon Redshift allows you to seamlessly scale with multi-cluster deployments.

Data Lake 97

Data Lake Data Warehouse Data-driven Optimization 97

CIO Business Intelligence

NOVEMBER 22, 2024

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Analytics Vidhya

JUNE 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Django The GCP Console is a tool that allows you to manage your Google Cloud Platform, and it addresses your Google Cloud projects and provides a web-based graphical UI. Popular services of Google Cloud: 1. Compute Engine 2. Cloud Storage 3.

Data Science 372

Data Science Publishing Management Analytics 372

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. Take, for example, an app for recording and managing travel expenses. A manager wants to assess the general mood of the team during a specific week.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

erwin

OCTOBER 24, 2019

In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis , according to IDC. To flip this 80/20 rule, they need an automated metadata management solution for: • Discovering data – Identify and interrogate metadata from various data management silos.

Metadata 104

Metadata Management Data-driven Data Architecture 104

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, if you want to test the examples using sample data, download the sample data. Raza Hafeez is a Senior Product Manager at Amazon Redshift.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […].

Data Warehouse 344

Data Warehouse Data Science Publishing Enterprise 344

Analytics Vidhya

JUNE 7, 2022

It describes the system from different viewpoints like developers, engineers, project managers or stakeholders. Introduction 4+1 architectural views represent the overall architecture of the software incentive system. These 4 views are logical, process, development and physical. The +1 view represents the scenarios view, which […].

Data Science 332

Data Science Publishing Software Management 332

AWS Big Data

JANUARY 6, 2025

In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

Analytics Vidhya

JULY 30, 2024

For everything to be well coordinated you require tools that will effectively manage the orders, stocks and […] The post Difference Between Non Relational Database and Relational Database appeared first on Analytics Vidhya.

Management 291

Management Analytics Unstructured Data Structured Data 291

IBM Big Data Hub

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. Let’s look at some of those challenges to generative AI for asset performance management. Undoubtedly. But what if you could optimize even further?

Management 81

Management Structured Data Modeling Data Governance 81

CIO Business Intelligence

MARCH 21, 2022

A data scientist’s approach to data analysis depends on their industry and the specific needs of the business or department they are working for. Before a data scientist can find meaning in structured or unstructured data, business leaders and department managers must communicate what they’re looking for.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Trulens), but this can be much more complex at an enterprise-level to manage.

Management 80

Management Metrics Data Processing Machine Learning 80

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

Data mining 307

Data mining Data Collection Strategy Data Analytics 307

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Analytics Vidhya

FEBRUARY 2, 2023

Introduction In this constantly growing era, the volume of data is increasing rapidly, and tons of data points are produced every second. Now, businesses are looking for different types of data storage to store and manage their data effectively.

Data Lake 289

Data Lake Data Warehouse Management Analytics 289

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

AWS Big Data

DECEMBER 19, 2024

This fragmentation can delay decision-making and erode trust in available data. Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. This approach streamlines data access while ensuring proper governance.

Publishing 95

Publishing Unstructured Data Metadata Data-driven 95

Analytics Vidhya

APRIL 26, 2022

Introduction on Databases like MySQL Nowadays data is growing exponentially in this world. But we need a way to store, process, and use this data efficiently in the future. Databases are used to manage the data […]. This led to the evolution of Databases.

Data Science 271

Data Science Publishing Management Analytics 271

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 78

Management IT Machine Learning Metrics 78

CIO Business Intelligence

APRIL 24, 2025

A lot of data to structure Work is also underway to structure data thats scattered in many places. Theres a considerable amount of old data, specifically from old trains, and there has to be robust traceability when it comes to train traffic.

IT 72

IT Consulting Optimization IoT 72

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Visualization 270

CIO Business Intelligence

AUGUST 21, 2024

Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. Gartner estimates unstructured content makes up 80% to 90% of all new data and is growing three times faster than structured data 1. 20, 2023.

Insurance 122

Insurance Unstructured Data Structured Data Enterprise 122

datapine

MAY 27, 2020

That’s why a business needs a proper analytical report that will help filter important data and improve the creation of the full management report that can lead to a successful business operation. The American Journal of Managed Care even stated in its own research that the total waiting amount is 121 minutes.

Reporting 245

Reporting Analytics Dashboards Sales 245

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. On the other hand, they don’t support transactions or enforce data quality.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. These systems had limitations in terms of flexibility and scalability.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

CIO Business Intelligence

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

AWS Big Data

MAY 28, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Unstructured Data 118

Unstructured Data Data Warehouse Structured Data Testing 118

Dataiku

FEBRUARY 16, 2024

Structured Query Language (SQL) has long been the standard for managing and querying relational databases, providing a powerful toolset for extracting insights from structured data.

Structured Data 93

Structured Data Modeling Management 93