AWS Big Data

NOVEMBER 26, 2024

Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data. In case you don’t have sample data available for testing, we provide scripts for generating sample datasets on GitHub.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

CIO Business Intelligence

OCTOBER 8, 2024

There’s a constant risk of data science projects failing by (for example) arriving at an insight that managers already figured out by hook or by crook—or correctly finding an insight that isn’t a business priority. And some of the biggest challenges to making the most of it are well-suited to the skills and mindset of data scientists.

Unstructured Data 118

Unstructured Data Data Science Uncertainty Sales 118

CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Smart Data Collective

AUGUST 30, 2022

Testing new programs. With cloud computing, companies can test new programs and software applications from the public cloud. Cloud technology allows companies to test many programs and decide which ones to launch for consumers quickly. Centralized data storage.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

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 144

Data Science Machine Learning Statistics Business Intelligence 144

CIO Business Intelligence

AUGUST 1, 2023

Clean and prep your data for private LLMs Generative AI capabilities will increase the importance and value of an enterprise’s unstructured data, including documents, videos, and content stored in learning management systems. It might actually be worth something by cleaning it up and using an LLM.”

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

CIO Business Intelligence

JUNE 23, 2023

Artificial intelligence (AI) is the analytics vehicle that extracts data’s tremendous value and translates it into actionable, usable insights. In my role at Dell Technologies, I strive to help organizations advance the use of data, especially unstructured data, by democratizing the at-scale deployment of artificial intelligence (AI).

Unstructured Data 98

Unstructured Data Cost-Benefit Data-driven Data Architecture 98

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

FEBRUARY 10, 2023

But for two years, we were testing limits within the public cloud.” While managing unstructured data remains a challenge for 36% of organizations, according to the 2022 Foundry Data and Analytics Research survey, many IT leaders are actively seeking ways of harnessing all types of data stored in data lakes.

Unstructured Data 106

Unstructured Data Data Lake Machine Learning Enterprise 106

CIO Business Intelligence

APRIL 8, 2025

Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data. Low cost, flexibility, captures diverse data sources. Easy to lose control, risk of becoming a data swamp. Exploratory analytics, raw and diverse data types.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 137

Big Data Data-driven IT Sales 137

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. Click here to test drive of the new erwin DM. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices. Learn more about unstructured data storage solutions and how they can enable AI technology.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Software Testing. Semi-structured.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

SEPTEMBER 7, 2023

First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Organizations need novel storage capabilities to handle the massive, real-time, unstructured data required to build, train and use generative AI.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt opted to build its own enterprise data warehouse even as it built a data lake with Microsoft and Databricks to ensure that its handful of data scientists have both engines with which to manipulate structured and unstructured data sets. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

DataKitchen

FEBRUARY 27, 2024

The Imperative of Data Quality Validation Testing Data quality validation testing is not just a best practice; it’s imperative. Validation testing is a safeguard, ensuring that the data feeding into LLMs is of the highest quality.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. In general terms, a model is a series of algorithms that can solve problems when given appropriate data. It’s most helpful in analyzing structured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

CIO Business Intelligence

SEPTEMBER 14, 2023

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

JUNE 18, 2024

For example, Runmic uses AI to generate reports, draft emails, and assist with code development and testing, Kouhlani says, adding that some of these tasks had previously taken employees hours to complete. Now they merely review AI content and can get back to more strategic tasks,” he says.

Enterprise 134

Enterprise Forecasting Unstructured Data Reporting 134

datapine

JUNE 9, 2022

Data monitoring has been changing the business landscape for years now. That said, it hasn’t always been that easy for businesses to manage the huge amounts of unstructured data coming from various sources. By the time a report is ready, the data has already lost its value due to the fast-paced nature of today’s context.

Dashboards 143

Dashboards Metrics Visualization Sales 143

CIO Business Intelligence

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Ontotext

MAY 17, 2019

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma. Ontotext’s Smart Pharma Search Solution .

Slice and Dice 76

Slice and Dice Unstructured Data Dashboards Optimization 76

Smart Data Collective

DECEMBER 21, 2020

Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. In the future, more advanced AI can make far more detailed risk profiles taking into account biometrics, past claims data, and even lab testing.

Insurance 142

Insurance Cost-Benefit Big Data Unstructured Data 142

AWS Big Data

FEBRUARY 26, 2025

SageMaker Lakehouse unified data connectivity provides a connection configuration template, support for standard authentication methods like basic authentication and OAuth 2.0, connection testing, metadata retrieval, and data preview.

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

CIO Business Intelligence

AUGUST 9, 2024

Pruitt says the airport’s new capabilities provide data-driven insights for improving operations, passenger experience, and non-aeronautical revenue across airport business units. Applying AI to elevate ROI Pruitt and Databricks recently finished a pilot test with Microsoft called Smart Flow.

Data Transformation 127

Data Transformation Machine Learning Data Lake Dashboards 127

CIO Business Intelligence

OCTOBER 13, 2023

According to Bob Lambert , analytics delivery lead at Anthem and former director of CapTech Consulting, important data architect skills include: A foundation in systems development: Data architects must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. This can be done at speed, and at scale.

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95

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 84

Unstructured Data Data-driven ROI Machine Learning 84

Cloudera

OCTOBER 26, 2020

Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera. We are excited to announce PowerScale and ECS will be moving forward with Cloudera’s Quality Assurance Test Suite certification process on CDP – Private Cloud (PvC) Base edition.

Testing 87

Testing Unstructured Data Cost-Benefit Big Data 87

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

CIO Business Intelligence

MARCH 7, 2023

You can use a text-to-3D modeler, test in 3D space, and get a much more visceral feel for how it will look in the real world — all with very little effort,” he says. Some people are even using these large language models as a way to clean unstructured data,” he says.

Enterprise 116

Enterprise IT Unstructured Data Experimentation 116

CIO Business Intelligence

FEBRUARY 23, 2024

We are designing our AI efforts to really augment the human creativity and productivity,” he says, noting that the company’s pilot testing has shown significant productivity gains in document and data summarization as well as churning out data insights faster. “We have embraced the human-in-the-loop concept.

IT 122

IT Manufacturing Unstructured Data Strategy 122

CIO Business Intelligence

MARCH 29, 2024

One of the most valuable aspects of AWS Bedrock, Woodring says, is that it establishes a standard data platform for Rocket, which will enable the mortgage lender to get its data “very quickly” to the right AI model. In other cases, Rocket will test out various AI models and “see their efficacy in different tasks,” Woodring says.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52