CIO Business Intelligence

JUNE 23, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025. The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge.

IT 77

IT Data Architecture Unstructured Data Big Data 77

CIO Business Intelligence

NOVEMBER 1, 2023

They both use the same unified application lifecycle management software and governance capabilities, and there’s deep interoperability between the two, the company said, streamlining collaboration between business and IT teams. The real benefit may be in the governance capabilities rather than the collaboration.

Enterprise 129

Enterprise Cost-Benefit Unstructured Data Software 129

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

SEPTEMBER 14, 2023

These include: Generalist: Data engineers who typically work for small teams or small companies wear many hats as one of the few “data-focused” people in the company. These generalists are often responsible for every step of the data process, from managing data to analyzing it.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 119

Unstructured Data Metadata Management Analytics 119

AWS Big Data

MARCH 25, 2024

In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. In-context learning LLMs are trained with point-in-time data and have no inherent ability to access fresh data at inference time. For building such a data store, an unstructured data store would be best.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

CDW Research Hub

MARCH 12, 2021

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. Converged technologies that improve the efficiency of your data center can also yield a major reduction of your operational costs.

Unstructured Data 52

Unstructured Data Internet of Things IoT Optimization 52

CIO Business Intelligence

FEBRUARY 21, 2024

But the critical step of data preparation can’t be overlooked — and today, it uses decades-old technologies. While these data management technologies may not be as exciting as RAG, if CIOs want their shiny new toys to work properly, Vector DBs and Knowledge Graphs need to be a top priority.

Insurance 64

Insurance Unstructured Data Data Architecture Technology 64

IBM Big Data Hub

FEBRUARY 2, 2023

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. The data can be reattached to UltraWarm when needed.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

CIO Business Intelligence

AUGUST 9, 2022

These include: Generalist: Data engineers who typically work for small teams or small companies wear many hats as one of the few “data-focused” people in the company. These generalists are often responsible for every step of the data process, from managing data to analyzing it. Data engineer job description.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. Finally, the IT team developed a digital market center that offers event management as well as training and education content.

Data Lake 94

Data Lake Digital Transformation Machine Learning Data Architecture 94

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 111

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 111

Ontotext

JULY 9, 2020

How do we translate the complex nature of things, their properties and their connections into information that is convenient to manage, transfer and use? What lies behind building a “nest” from irregularly shaped, ambiguous and dynamic “strings” of human knowledge, in other words of unstructured data?

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

CIO Business Intelligence

JUNE 28, 2023

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We

Digital Transformation 86

Digital Transformation Cost-Benefit Informatics Data mining 86

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

JANUARY 8, 2024

For high availability and durability, Kinesis Data Streams achieves high durability by synchronously replicating the streamed data across three Availability Zones in an AWS Region and gives you the option to retain data for up to 365 days. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 113

Analytics IoT Data-driven Snapshot 113

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. We will use AWS Region us-east-1.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

SEPTEMBER 21, 2023

AI and change management Change management has long been instrumental to the success of AI projects. But, until this year, this was a relatively manageable problem since the AI projects had limited scope. But, until this year, this was a relatively manageable problem since the AI projects had limited scope.

Enterprise 128

Enterprise Consulting Modeling Cost-Benefit 128

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

DECEMBER 7, 2020

Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer. How a leading global drug store improved precision and timeliness.

Cost-Benefit 62

Cost-Benefit Interactive Unstructured Data Big Data 62

CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

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

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. It’s a different beast to manage workloads in the cloud versus workloads on premise.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Management 85

Management Data Lake Consulting Unstructured Data 85

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

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Ozone Shell is recommended to use for volume and bucket management, but it can also be used to read and write data.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

CIO Business Intelligence

MARCH 6, 2024

SAP unveiled Datasphere a year ago as a comprehensive data service, built on SAP Business Technology Platform (BTP), to provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization.

Unstructured Data 111

Unstructured Data Dashboards Business Intelligence Data Governance 111

Cloudera

SEPTEMBER 12, 2022

And second, for the data that is used, 80% is semi- or unstructured. Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. For many organizations, a data fabric is a first step to becoming more data driven.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

IBM Big Data Hub

DECEMBER 1, 2023

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Leading insurers in all geographies are implementing IBM’s data architectures and automation software on cloud. It also helps improve underwriting decisions, reduce fraud and control costs.

Insurance 97

Insurance Digital Transformation Unstructured Data Risk 97

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 103

Data Lake Unstructured Data Data Warehouse Data Quality 103

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. . IBM’s most recent moves in Data & AI .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52