CIO Business Intelligence

MARCH 21, 2022

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. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

JANUARY 9, 2025

In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data. Robert Glaser is Head of Data & AI at INNOQ.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

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 119

Strategy Data Science Unstructured Data Marketing 119

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 307

Data mining Data Collection Strategy Data Analytics 307

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 140

Big Data Marketing Data Analytics Analytics 140

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 109

Data Governance Unstructured Data Metadata Data Lake 109

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 Big Data 119

CIO Business Intelligence

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. Every AI journey begins with the right data foundation—arguably the most challenging step.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

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 130

Finance Unstructured Data Cost-Benefit Big Data 130

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 102

Unstructured Data Data Warehouse Structured Data Testing 102

AWS Big Data

SEPTEMBER 12, 2024

As it relates to the use case in the post, ZS is a global leader in integrated evidence and strategy planning (IESP), a set of services that help pharmaceutical companies to deliver a complete and differentiated evidence package for new medicines. We use various chunking strategies to enhance text comprehension.

Unstructured Data 108

Unstructured Data Metadata Machine Learning Consulting 108

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 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

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 Data Warehouse 105

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 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

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 112

IT Data Architecture Unstructured Data Big Data 112

Cloudera

MAY 14, 2024

Meaningful results, and a scalable, flexible data architecture demand a ‘true’ hybrid cloud approach to data management. One of the main pieces that separates ‘true’ hybrid is the ability to operate as a single platform across both data center and cloud, as well as at the edge. Data comes in many forms. Let’s dive deeper.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

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

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

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

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

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 97

IT Data Architecture Unstructured Data Big Data 97

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

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

AWS Big Data

FEBRUARY 26, 2025

x , which supports enhanced performance and security features, and native retry strategy. You can use the new connector to read data from a Kinesis data stream starting with Flink version 1.19. He is also the author of Simplify Big Data Analytics with Amazon EMR and AWS Certified Data Engineer Study Guide books.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

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

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

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 138

Management Internet of Things Statistics Data Science 138

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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

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

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

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

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 72

Recreation/Entertainment Broadcasting Unstructured Data Consulting 72

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

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 59

Data Warehouse Unstructured Data Analytics Visualization 59

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 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88