CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. It’s a powerful strategy.” So too is keeping your options open. That’s really valuable.”

Data Lake 123

Data Lake Machine Learning Data Warehouse Unstructured Data 123

Smart Data Collective

SEPTEMBER 16, 2022

Artificial intelligence is widely used in the field of providing solutions for investors and traders – almost all modern tools (algorithms, robots for formulating strategies, trading systems, digital brokers) used on the stock exchange are based on artificial intelligence. Fintech in particular is being heavily affected by big data.

Finance 116

Finance Unstructured Data Cost-Benefit Big Data 116

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. Furthermore, it is of utmost importance that this data is as complete as possible.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

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. In my role at Iron Mountain, I work with leaders across 65 countries to establish unified ILM strategies.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

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

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Providing insights into the trends, prediction, and appropriate strategy for the company and serving numerous other uses are distinct.

Data mining 293

Data mining Data Collection Strategy Data Analytics 293

IBM Big Data Hub

APRIL 18, 2023

The IBM Garage™ methodology integrates business strategy, design and technology to help organizations transform their business from ideation to building to scaling. Our systems let us incorporate that report with structured data to make better predictions.”

Recreation/Entertainment 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

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 106

IT Data Architecture Unstructured Data Big Data 106

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 116

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 116

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. You can integrate different technologies or tools to build a solution.

Unstructured Data 115

Unstructured Data Metadata Management Analytics 115

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

CIO Business Intelligence

JUNE 23, 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 84

IT Data Architecture Unstructured Data Big Data 84

Jet Global

NOVEMBER 5, 2020

Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes. They are designed for enormous volumes of information, including semi-structured and unstructured data. Data lakes move that step to the end of the process.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Laminar Security

AUGUST 21, 2023

To maintain consistent cloud data security , organizations must overcome the limitations of siloed or inadequate security controls, disjointed data classification, and fragmented integration. Convergence of these technologies will make processes more effective.

Management 40

Management Risk Unstructured Data Data Strategy 40

Jet Global

SEPTEMBER 4, 2020

Data lakes serve a fundamentally different purpose than data warehouses, in the sense that they are optimized for extremely high volumes of data that may or may not be structured. There are virtually no rules about what such data looks like. It is unstructured.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Data management can never be a pure, complete process. Other Technologies.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. positive, negative or neutral).

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 136

Management Internet of Things Statistics Data-driven 136

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

DECEMBER 11, 2020

Many businesses now need to achieve free and open data access in order to derive value and improve efficiencies as they navigate the ‘new norm’ — whether that’s involved working from a home office, or the garden shed. Toolsets and strategies have had to shift to ensure controlled access to data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data. Firstly, we establish a list of filtering criteria.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 114

Strategy Marketing Unstructured Data Data Science 114

Smart Data Collective

FEBRUARY 3, 2021

A good example of this, an investment strategy like Fibonacci trading uses the Fibonacci sequence. The strategy is a reflection of nature since it orders the structures in line with the Fibonacci sequence. Traders have been using this strategy for quite some time. What Impact Is Big Data Having Towards Investing?

Big Data 139

Big Data Marketing Data Analytics Analytics 139

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 111

Data Lake Unstructured Data Data Warehouse Data Quality 111

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. It’s key to its overall business strategy. Under Guadagno, the Deerfield, Ill.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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 57

Data Warehouse Unstructured Data Analytics Visualization 57

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Understanding how certain types of events have historically affected their stock prices can guide future business decisions and communication strategies.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Sisense

JUNE 30, 2020

Prescriptive analytics takes things a stage further: In addition to helping organizations understand causes, it helps them learn from what’s happened and shape tactics and strategies that can improve their current performance and their profitability. A simple example would be the analysis of marketing campaigns.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

FineReport

DECEMBER 27, 2021

Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. The data sources are enterprise-class and monolithic, requiring long read times and IT engagement to adjust to changes in business requirements. Self-service BI. Enterprise BI tools.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Sisense

JULY 22, 2020

The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect. At Sisense, we’re dedicated to making this complex task simple, putting power in the hands of the builders of business data and strategy, and providing insights for everyone.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

FineReport

FEBRUARY 5, 2020

In popular understanding, the BI platform comes with an advanced analysis model and algorithm model, which allows users to drag data and automatically runs the model to reach a conclusion. Self-service data preparation is essentially letting the BI system automatically handle the logical association between data.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

JULY 23, 2021

“We are also working to factor in the COVID impact when making sense of the data and, more importantly, when communicating it.”. Chris and his team are increasing the volume of data being captured and using automation to augment their data strategy : “This is a real jump forward for us.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform. “We

Data Lake 65

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 65