FineReport

JULY 1, 2021

Business Intelligence Technologies Overview. With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. BI Technology Meaning. Let us enter the topic and define what BI technology is.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

SEPTEMBER 16, 2022

Client requests naturally grow with the development of technology. They are using big data technology to offer even bigger benefits to their fintech customers. The use of artificial intelligence technologies allows for improving the quality of service and minimizing costs. Unstructured data.

Finance 114

Finance Unstructured Data Cost-Benefit Big Data 114

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Smart Data Collective

JUNE 7, 2019

With today’s technology, there’s an increasing demand for stream processing. Data, for instance, has to be processed fast so that the companies can keep up to the changing business and market conditions in real time. Read this article as we’ll tackle what big data and stream processing are. What is Big Data?

Big Data 80

Big Data Marketing Cost-Benefit Unstructured Data 80

Smart Data Collective

DECEMBER 14, 2019

This is slowly changing with the emergence of AI and big data to solve these challenges. In this post, we’re going to take a closer look at AI and big data and how they can transform the customer journey. AI technology is currently focused on: Speech recognition. What is Big Data? What is AI?

Big Data 64

Big Data Cost-Benefit B2B Sales 64

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 Structured Data 137

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. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Unstructured Data 90

Unstructured Data Data-driven ROI Machine Learning 90

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. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

David Menninger's Analyst Perspectives

MARCH 30, 2020

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

Data Architecture 244

Data Architecture Unstructured Data Data Lake Data Governance 244

Sisense

MARCH 20, 2019

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Python and R. Machine Learning.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

IBM Big Data Hub

APRIL 16, 2024

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. A reliable and trustworthy data source is essential for sharing information across departments. Stringent access control mechanisms regulate data access based on user roles and permissions.

Unstructured Data 85

Unstructured Data Data-driven Enterprise Technology 85

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 116

Analytics Unstructured Data Data Collection Software 116

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Unstructured Data 94

Unstructured Data Cost-Benefit Experimentation Machine Learning 94

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

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. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

IBM Big Data Hub

MAY 19, 2023

Finally, TDC Digital realized it needed to find the right technology partner to offer them a transparent billing system and an appropriate cloud storage solution to help them deliver a differentiated customer experience and drive business growth.

Unstructured Data 78

Unstructured Data Data Processing Manufacturing Data Lake 78

IBM Big Data Hub

APRIL 8, 2024

With so many leaders now embracing the technology for business transformation, some wonder which C-Suite leader will be in the driver’s seat to orchestrate and accelerate that change. To train a generative AI assistant to learn project management, for example, you need a strong set of unstructured data about the work and tasks required.

Unstructured Data 67

Unstructured Data Testing Strategy Technology 67

CIO Business Intelligence

SEPTEMBER 14, 2023

While data engineers develop, test, and maintain data pipelines and data architectures, data scientists tease out insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Cloudera

JUNE 7, 2022

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. Big data is cool again.

IT 108

IT Data Architecture Unstructured Data Big Data 108

Smart Data Collective

JUNE 10, 2022

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

Data Science 116

Data Science Machine Learning Statistics Business Intelligence 116

IBM Big Data Hub

APRIL 18, 2023

The Technology & Engineering Emmy awards recognize individuals or organizations whose work provides “extensive improvement on existing methods” or whose contributions are “so innovative in nature that they have materially affected television.”

Recreation/Entertainment 76

Recreation/Entertainment Broadcasting Unstructured Data Consulting 76

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. There is no need to hire expensive data analysts.

Marketing 106

Marketing Data Analytics Analytics Big Data 106

Smart Data Collective

AUGUST 28, 2021

On the other hand, a data scientist may require access to unstructured data to detect patterns or build a deep learning model, which means that a data lake is a perfect fit for them. Another important factor to consider when choosing between data warehouses or lakes is your organization’s existing technology ecosystem.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

CIO Business Intelligence

JUNE 23, 2022

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. Big data is cool again.

IT 91

IT Data Architecture Unstructured Data Big Data 91

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. Given the current shortage of data science talent, many organizations are building out programs to develop internal data science talent.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

Smart Data Collective

DECEMBER 18, 2020

A few years ago, we talked about the benefits of using AI and big data in disaster relief. These problems put the importance of big data and AI to the test, as we strive to fight the problems they cause. We have recently seen how important these applications are, as the damage of natural disasters is worse than ever.

Cost-Benefit 89

Cost-Benefit Unstructured Data Big Data Risk 89

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. Capturing data from documents.

Insurance 132

Insurance Cost-Benefit Big Data Unstructured Data 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 116

Unstructured Data Metadata Management Analytics 116

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. AI-Powered Big Data Technology. Predictive Business Analytics.

Business Intelligence 100

Business Intelligence Predictive Analytics Data Collection Internet of Things 100

Smart Data Collective

OCTOBER 3, 2019

Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. They aren’t alone.

Data-driven 78

Data-driven Marketing Big Data Machine Learning 78

CIO Business Intelligence

AUGUST 9, 2022

Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals. Data engineer vs. data architect. The data engineer and data architect roles are closely related and frequently confused.

Analytics 130

Analytics Data Science Statistics Unstructured Data 130

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. As for Keller Williams, Chief Technology and Digital Officer Chris Cox sees the cloud as an engine for innovation. “We

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52