IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

Unstructured Data 86

Unstructured Data Data-driven ROI Machine Learning 86

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies. Sign up for a trial to see for yourself.

Unstructured Data 104

Unstructured Data Cost-Benefit Metadata Machine Learning 104

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

Ontotext

OCTOBER 19, 2023

In order to create an interoperable health data record, we should be able to integrate personal health data (which comes in various formats and structures and varying quality) into a shareable format with other systems and individuals. 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

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

Ontotext

DECEMBER 15, 2022

Connecting the dots of data of all types. To begin with, Fantastic Finserv has to handle a wide variety of data. This includes traditional structured data such as: Reference data – the data used to relate data to information outside of the organization.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. . Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

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 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 74

Unstructured Data Data Architecture Data Lake Snapshot 74

IBM Big Data Hub

APRIL 18, 2023

” Pioneering use of unstructured text data For over a decade, IBM has been gathering insight from unstructured data (such as that used in large language models) to provide real-time insight to its sports and entertainment clients and to enhance predictive analysis.

Recreation/Entertainment 73

Recreation/Entertainment Broadcasting Unstructured Data Consulting 73

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. Features focus on media and entertainment firms.

Recreation/Entertainment 109

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 109

IBM Big Data Hub

JANUARY 10, 2024

Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Unstructured Data 77

Unstructured Data Deep Learning Cost-Benefit Modeling 77

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Domino Data Lab

AUGUST 9, 2021

Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data. Based on the concept of neural networks, it’s useful for analyzing images, videos, text and other unstructured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

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. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Text data served up via Solr’s powerful analytics engine and APIs.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

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 110

IT Data Architecture Unstructured Data Big Data 110

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM).

Management 40

Management Risk Unstructured Data Data Strategy 40

Ontotext

MAY 25, 2023

For example, knowledge graphs can be used to provide structured data to train LLM, and LLM can be used to extract information from unstructured data sources such as text and images, which can then be incorporated into knowledge graphs. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. Then there is a recognition that there is so much more that can be done with the data.

Insurance 96

Insurance Risk Unstructured Data Data-driven 96

Sisense

APRIL 9, 2021

The amount of data being generated and stored every day has exploded. Companies of all kinds are sitting on stockpiles of data that could someday prove valuable. Until then though, they don’t necessarily want to spend the time and resources necessary to create a schema to house this data in a traditional data warehouse.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Structured Data 52

Sisense

JULY 23, 2021

During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games. This analytics engine will process both structured and unstructured data. “We

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. It established a data governance framework within its enterprise data lake. The post 2020 Data Impact Award Winner Spotlight: Merck KGaA appeared first on Cloudera Blog.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

IBM Big Data Hub

JULY 6, 2023

This blog post will clarify some of the ambiguity. Human experts determine the hierarchy of features to understand the differences between data inputs, usually requiring more structured data to learn. It can ingest unstructured data in its raw form (e.g., appeared first on IBM Blog.

Deep Learning 57

Deep Learning Machine Learning Unstructured Data Modeling 57

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Sisense

JULY 22, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations tackle the challenges of this new world to help their companies and their customers thrive.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. This blog post is not a substitute for that. Conclusion.

Data Lake 71

Data Lake Metadata Unstructured Data Management 71

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. This is quantitative data. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

bridgei2i

FEBRUARY 28, 2020

With AI, apart from the quantitative data, unstructured data systems can be assessed for risk management. With AI, one can manage entire portfolios by identifying stock price movement trends from both unstructured and structured data sources. Trading was anyway decision making in mere fractions of seconds.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

Ontotext

JANUARY 6, 2021

A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. Ontotext worked with a global research-based biopharmaceutical company to solve the problem of inefficient search across dispersed and vast sources of unstructured data.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Cloudera

OCTOBER 30, 2018

In this blog post, Sheryl outlines how next-gen CIP applications are delivering a better customer experience, and why businesses are relying on CIPs as their preferred path to customer insights. Structured data from operational data stores now provides a small slice of the overall data needed to improve customer experience.

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Sisense

JUNE 30, 2020

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

erwin

JUNE 26, 2020

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. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132