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. Relatively few respondents are using version control for data and models. That realization is a sign that the field is growing up.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

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 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

AWS Big Data

MAY 30, 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. Data store – The data store used a custom data model that had been highly optimized to meet low-latency query response requirements.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools. Unlike software, ML models need continuous tuning.

Unstructured Data 104

Unstructured Data Cost-Benefit Metadata Machine Learning 104

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. Challenge 2: Prepare data for AI models AI is only as trusted as the data that fuels it.

Management 84

Management Structured Data Modeling Data Governance 84

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 The challenges of data.

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

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. AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure.

Optimization 74

Optimization Manufacturing Cost-Benefit Reporting 74

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 139

Unstructured Data Optimization Data-driven Strategy 139

Rocket-Powered Data Science

JULY 14, 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.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

CIO Business Intelligence

FEBRUARY 20, 2024

Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 83

Data Architecture Unstructured Data Manufacturing IT 83

CIO Business Intelligence

JULY 28, 2023

Pivoting to tech provider JLL’s move to develop facilities management software is part of an expanded business model that has enabled the company to perform well in tough times, says Morin, who is employing a hybrid strategy for software development in which JLL Technologies will both build in-house and partner with other SaaS vendors.

Structured Data 84

Structured Data Software Data-driven Modeling 84

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 130

Data mining Data-driven Statistics OLAP 130

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 81

Data-driven Finance Digital Transformation Operational Reporting 81

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 133

Unstructured Data Data Analytics Analytics Structured Data 133

Ontotext

OCTOBER 14, 2021

For the purposes of this article, you just need to know the following: A graph is a method of storing and modeling data that uniquely captures the relationships between data. These nodes include metrics and attributes extracted from structured data sources as well as qualitative data stored in unstructured documents.

Reporting 98

Reporting Structured Data Metadata Data Warehouse 98

CIO Business Intelligence

OCTOBER 18, 2022

She decided to bring Resultant in to assist, starting with the firm’s strategic data assessment (SDA) framework, which evaluates a client’s data challenges in terms of people and processes, data models and structures, data architecture and platforms, visual analytics and reporting, and advanced analytics.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

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. Their large language models have poor or dirty data.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

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. There’s a famous saying by a statistician, George Box, “All models are wrong, but some are useful.”

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

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. To effectively use raw data, it often needs to be curated within a data warehouse. Some use case examples will help.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

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 112

Risk Management Cost-Benefit Risk Data-driven 112

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 60

Consulting Machine Learning Manufacturing Optimization 60

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 188

Data-driven Enterprise Analytics Machine Learning 188

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

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices. For price discovery (e.g.,

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52

CIO Business Intelligence

APRIL 14, 2022

Sometimes it comes from external, oftentimes open, sources, gathered together by the DaaS vendor to help enterprises leverage data assets they might otherwise be unable to deal with themselves. And it’s not just about the data on offer itself. The area is rapidly growing. Informatica. Synthesis AI.

Enterprise 129

Enterprise Marketing Measurement Reporting 129

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. For optimal performance, AI models should receive data from a diverse datasets (e.g., The real-world potential of AI is immense.

Unstructured Data 77

Unstructured Data Deep Learning Cost-Benefit Modeling 77

datapine

APRIL 28, 2023

Another example is when building reports using code. While many modern SQL reporting tools automate code-generation saving programmers a lot of time, it is still necessary to have knowledge on the topic to solve any issues that might arise and ensure efficient reports are built.

Reporting 200

Reporting Data-driven Visualization Interactive 200

Ontotext

OCTOBER 19, 2023

We need to solve many problems, including deduplication of data that refers to the same entity, extracting structured data within narratives in different languages, as well as mapping them to a common and international ontology. 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

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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 258

Machine Learning Software Metadata Testing 258

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. x, ChatGPT, Google’s Bard chatbot technology, and the AI service, Language Model for Dialogue Applications (LaMDA), among others.

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

CIO Business Intelligence

DECEMBER 4, 2023

Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact. Tomorrow’s market leaders will recognize how to curate and enrich the value of all assets, which will train AI models, generate insights, and drive automation. Preserve/Dispose.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. Organizations using C360 achieved 43.9%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

MARCH 9, 2022

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. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 102

Data Lake Unstructured Data Data Warehouse Data Quality 102

CDW Research Hub

JANUARY 21, 2021

Snowflake is a modern cloud data platform that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Light data modeling.

Data Warehouse 52

Data Warehouse Dashboards Structured Data Predictive Analytics 52