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 87

Data Science Data Analytics Prescriptive Analytics Analytics 87

CIO Business Intelligence

APRIL 24, 2024

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” Another element of the digital strategy is a more significant use of BI to analyze and visualize data.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

IBM Big Data Hub

FEBRUARY 2, 2023

This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

CDW Research Hub

MARCH 12, 2021

A modern data architecture enables businesses to consume and interpret information so they can anticipate market changes and make strategic decisions, which begs the question: is your data center suitable for meeting the digital needs of your organization? Storage, physical space and the rise of unstructured data.

Unstructured Data 52

Unstructured Data Internet of Things IoT Optimization 52

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

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 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

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 105

Digital Transformation Cost-Benefit Informatics Data mining 105

AWS Big Data

MARCH 7, 2024

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. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 109

Data Lake Analytics Dashboards Metrics 109

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 115

Unstructured Data Metadata Management Analytics 115

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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. to complete the processes.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Consulting Enterprise 78

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 98

Data Lake Sales Data Warehouse Snapshot 98

Cloudera

DECEMBER 7, 2020

As the pandemic’s stress test of e-commerce, in-store insights, supply chain visibility, and fulfillment capabilities have revealed shortcomings, and long-lasting consumer experiences— it has also allowed many companies to pivot to very successful strategies built on enterprise data and the digitization efforts that accompany it.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. It provides the ability to collect data from tens of thousands of data sources and ingest in real time.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Cloudera

JULY 29, 2022

Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in. All successful organizations have business strategies in place that help them achieve their objectives. These strategies are usually long-term and include plans and actions on how to reach their goals. .

Data Architecture 83

Data Architecture Data Strategy Risk Management Strategy 83

CIO Business Intelligence

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

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. It’s a future state worth investing in.

Insurance 82

Insurance Data Architecture Risk Management Risk 82

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. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unscalable data architecture.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

IBM Big Data Hub

DECEMBER 1, 2023

Core modernization with AI Most major insurance companies have determined that their mid- to long-term strategy is to migrate as much of their application portfolio as possible to the cloud. Leading insurers in all geographies are implementing IBM’s data architectures and automation software on cloud.

Insurance 110

Insurance Digital Transformation Unstructured Data Risk 110

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. .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Iceberg offers a Merge On Read strategy to enable fast writes.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

CIO Business Intelligence

JUNE 23, 2023

Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights. In my role at Dell Technologies, I strive to help organizations advance the use of data, especially unstructured data, by democratizing the at-scale deployment of artificial intelligence (AI).

Unstructured Data 98

Unstructured Data Cost-Benefit Data-driven Data Architecture 98

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 67

Data Architecture Data Lake Machine Learning Data Governance 67

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Only then can you extract insights across fragmented data architecture.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52