IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Consider some of the examples of use cases from our clients in the industry: Visual insights.

Unstructured Data 81

Unstructured Data Consulting Visualization IoT 81

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake 77

Data Lake Visualization Dashboards Insurance 77

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 132

Business Analytics Analytics Unstructured Data Data-driven 132

Analytics Vidhya

APRIL 26, 2023

Introduction Document information extraction involves using computer algorithms to extract structured data (like employee name, address, designation, phone number, etc.) from unstructured or semi-structured documents, such as reports, emails, and web pages.

Structured Data 296

Structured Data Visualization Reporting Analytics 296

CIO Business Intelligence

AUGUST 9, 2023

Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” In other words, storage platforms must be aligned with the realities of unstructured data and the emerging needs of generative AI. Learn more here.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. In some ways, the data architect is an advanced data engineer.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 128

Unstructured Data Data-driven Visualization Data Quality 128

IBM Big Data Hub

OCTOBER 12, 2022

To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football. It lets a fantasy owner visualize the risk-and-reward scenarios, see trends over time and field a more competitive team. Not anymore. Encouraging trades and transactions.

Unstructured Data 88

Unstructured Data Consulting Statistics Data-driven 88

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 104

Digital Transformation Business Intelligence Unstructured Data Data Lake 104

Smarten

MAY 17, 2017

If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. How do users perceive and use data? How do formats and reporting affect a user’s understanding of data?

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

FineReport

JULY 1, 2021

BI technology is a series of technologies that can handle a large amount of structured and sometimes unstructured data. Their purpose is to help identify, develop and otherwise tap the value of big data and create opportunities for new strategic businesses. Data querying & discovery. Data visualization.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

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

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Tableau: Now owned by Salesforce, Tableau is a data visualization tool.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

datapine

JUNE 5, 2019

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. Data being spread out amongst many databases.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

DECEMBER 19, 2023

Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. “Means,” or average data, refers to the points in the center of the cluster that all other data is related to. This usually helps to make the model’s predictions more accurate.

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

FineReport

OCTOBER 25, 2021

Similar to the instrument panel equipped in a car, it transforms obscure expertise into plain visualizations which are pleasing to both the eye and mind. What is Data Dashboard?–Definition. Undoubtedly, a data dashboard tool helps you answer a barrage of business-related questions in order to cater to your own strategies.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

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

bridgei2i

SEPTEMBER 23, 2020

She further explains how the traditional BI systems which offers data visualization and building data lakes of structured and unstructured data, compliant with KPIs and analytics infrastructure may not be adequate to handle the data explosion.

Enterprise 97

Enterprise Unstructured Data Data Lake Digital Transformation 97

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

erwin

JANUARY 9, 2020

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. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Smart Data Collective

APRIL 5, 2022

This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets. A data visualization interface known as SPSS Modeler. Neptune.ai. You can easily integrate the hardware accelerator with other tools.

Cost-Benefit 120

Cost-Benefit Machine Learning Data Science Unstructured Data 120

Cloudera

NOVEMBER 10, 2020

HUE also comes with a simplistic form of pre-visualization of results and download result sets as csv files or pdfs, for local exploration or further insight sharing. It, therefore, makes sense to provide a seamless transition from the context of HUE to Cloudera’s new, built-in Data Visualization tool.

Visualization 107

Visualization Optimization Unstructured Data Dashboards 107

CIO Business Intelligence

JULY 26, 2023

Large language models use various algorithms to provide support for structured and unstructured data ingestion, scale-out capacity and growth, API integration and unsupervised learning when necessary. Large Language Models (LLMs).

Technology 98

Technology Unstructured Data Forecasting Visualization 98

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. Typical tools for BI: Power BI, Tableau, FineReport. Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

JUNE 6, 2023

The artwork I received was not only visually stunning but also showed how AI is capable of bringing new ideas to life. Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data. What I saw blew my mind away.

Manufacturing 98

Manufacturing Unstructured Data Optimization Software 98

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. Data engineer vs. data architect.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

OCTOBER 3, 2023

Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data. . • Robotic process automation (RPA): as discussed above, RPA tools represent a component of hyperautomation.

Cost-Benefit 120

Cost-Benefit Machine Learning Interactive Software 120

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

BizAcuity

OCTOBER 21, 2019

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. Text analytics helps to draw the insights from the unstructured data. .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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. In the future of healthcare, data lake is a prominent component, growing across the enterprise.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. The raw data can be streamed to Amazon S3 for archiving.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Analytics 93

Analytics Unstructured Data IoT Visualization 93