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

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lake 178

Data Lake Unstructured Data Management Analytics 178

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

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 Science Data-driven 138

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

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. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

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

CIO Business Intelligence

DECEMBER 14, 2023

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Unstructured Data 116

Unstructured Data Structured Data Enterprise Business Intelligence 116

CIO Business Intelligence

JANUARY 24, 2024

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

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 109

Data Governance Unstructured Data Metadata Data Lake 109

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

CIO Business Intelligence

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. Every AI journey begins with the right data foundation—arguably the most challenging step.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

Smart Data Collective

SEPTEMBER 16, 2022

Big Data in finance refers to huge arrays of structured and unstructured data that can be used by banks and financial institutions to predict consumer behavior and develop strategies. Fintech in particular is being heavily affected by big data. Among them are distinguished: Structured data.

Unstructured Data 130

Unstructured Data Finance Cost-Benefit Big Data 130

CIO Business Intelligence

OCTOBER 19, 2023

Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. Unstructured data formatting issues Increasing data volume gets more challenging because it has large volumes of unstructured data. The complexity doesn’t end here.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 102

Unstructured Data Data Warehouse Structured Data Testing 102

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

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

CIO Business Intelligence

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

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

Smart Data Collective

FEBRUARY 3, 2021

Progress made in computing and analytics has enabled financial experts to analyze data that was impossible to analyze a decade ago. Ten years ago, computers used to focus on analyzing structured data alone. Such data could be easily organized, quantified, or laid out in a certain way.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

CIO Business Intelligence

FEBRUARY 20, 2024

Where all data – structured, semi-structured, and unstructured – is sourced, unified, and exploited in automated processes, AI tools and by highly skilled, but over-stretched, employees. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

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

CIO Business Intelligence

OCTOBER 2, 2024

What’s needed is a unified environment that can enable even multiparty teams to manage the complexity Gartner points to as a significant barrier to success. A “state-of-the-art” data and analytics enablement platform can vastly improve identity resolution, helping to prevent fraud. Does it lower the cost of acquisition?

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

AWS Big Data

SEPTEMBER 12, 2024

ZS is a management consulting and technology firm focused on transforming global healthcare. We use leading-edge analytics, data, and science to help clients make intelligent decisions. Evidence generation is rife with knowledge management challenges. Overview of solution The solution was designed in layers.

Unstructured Data 108

Unstructured Data Metadata Machine Learning Consulting 108

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. It is not just about data storage but also about data management too.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

CIO Business Intelligence

MAY 10, 2024

Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets. Introduced in the late 1990s as the Big Data era emerged, NoSQL remains a key way for organizations to handle large swaths of data.

IT 130

IT Unstructured Data Software Reporting 130

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

Smart Data Collective

SEPTEMBER 26, 2019

Relevant, complete, accurate, and meaningful data can help a business gain a competitive edge over its competitors which is the first step towards scaling operations and becoming a market leader. As such, any company looking to stay relevant both now and, in the future, should have data management initiatives right.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

erwin

JUNE 26, 2020

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. 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.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. What do we mean by ‘true’ hybrid?

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

CIO Business Intelligence

APRIL 25, 2024

It’s a much more seamless process for customers than having to purchase a third-party reverse ETL tool or manage some sort of pipeline back into Salesforce.” For instance, a Data Cloud-triggered flow could update an account manager in Slack when shipments in an external data lake are marked as delayed.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

AWS Big Data

FEBRUARY 26, 2025

This zero-ETL integration reduces the complexity and operational burden of data replication to let you focus on deriving insights from your data. You can create and manage integrations using the AWS Management Console , the AWS Command Line Interface (AWS CLI), or the SageMaker Lakehouse APIs.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

DataKitchen

FEBRUARY 27, 2024

The Role of Data Journeys in RAG The underlying data must be meticulously managed throughout its journey for RAG to function optimally. This is where DataOps comes into play, offering a framework for managing Data Journeys with precision and agility.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119