Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere manages and integrates structured, semi-structured, and unstructured data types.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

O'Reilly on Data

SEPTEMBER 19, 2023

But the grouping and summarizing just wasn’t exciting enough for the data addicts. They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. Those algorithms packaged with scikit-learn?

Machine Learning 341

Machine Learning Testing Modeling Cost-Benefit 341

David Menninger's Analyst Perspectives

APRIL 24, 2025

As enterprises embrace the potential opportunities presented by artificial intelligence (AI), they are quickly finding that good data management is a prerequisite. As was explained in ISGs State of Generative AI Market Report , AI requires data that is clean, well-organized and compliant with regulatory standards.

Unstructured Data 130

Unstructured Data Machine Learning Software Data Processing 130

Rocket-Powered Data Science

MAY 21, 2024

live data consumption) or real-time adaptation to changing business conditions. And also in the past, it was sufficient for AI to be relegated to academic researchers or R&D departments of big organizations who mostly produced research reports or journal papers, and not much else.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Many users also report its power in constructed-in capabilities and libraries, data manipulation, and reporting.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

JUNE 10, 2022

The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. As a data engineer, you could also build and maintain data pipelines that create an interconnected data ecosystem that makes information available to data scientists.

Data Science 144

Data Science Machine Learning Statistics Business Intelligence 144

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. It is the combination of several data processes that, instead of just giving back data, but provides a valuable, strategy-changing recommendation.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. Assign domain data stewards.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

Smart Data Collective

AUGUST 28, 2021

Usually, business or data analysts need to extract insights for reporting purposes, so data warehouses are more suitable for them. 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.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

OCTOBER 2, 2024

Yet, despite years of investment in varied solutions, many companies still need help to enable their people and partners to connect disparate data sources and effectively collaborate in fully compliant spaces, let alone incorporate AI. Will it provide the flexibility needed to work with that variety of data in any required or desired way?

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

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

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. TensorFlow is a software library for machine learning used for training and inference of deep neural networks.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Cloudera

AUGUST 4, 2021

Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We We use the Cloudera tool to employ machine learning for preventive maintenance,” says Terry Kline, Navistar SVP and CIO.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

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 117

Unstructured Data Data Science Uncertainty Sales 117

CIO Business Intelligence

SEPTEMBER 30, 2024

Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. Solving problems that weren’t solvable’ Other enterprise leaders report similar gains with their AI initiatives.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

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 118

Unstructured Data Data Warehouse Structured Data Testing 118

Jet Global

NOVEMBER 5, 2020

Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

SEPTEMBER 12, 2024

AWS services such as Amazon Neptune and Amazon OpenSearch Service form part of their data and analytics pipelines, and AWS Batch is used for long-running data and machine learning (ML) processing tasks. Clinical documents often contain a mix of structured and unstructured data.

Unstructured Data 110

Unstructured Data Metadata Machine Learning Consulting 110

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

CIO Business Intelligence

FEBRUARY 10, 2023

The CIO of a regulatory agency that reports to the US Securities and Exchange Commission — one of the biggest cloud consumers in the world — has made it his mission to help other CIOs — and Amazon Web Services itself — improve cloud computing.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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. To do that smoothly and quickly requires the adept use of cloud technologies.

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. NLP will account for $35.1 Putting NLP to Work.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

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. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

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 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Datamarts in Power BI.

Analytics 116

Analytics Data Lake Data Warehouse Machine Learning 116

CIO Business Intelligence

JANUARY 20, 2023

It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Introducing the next generation of Amazon SageMaker AWS announces the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. Now, if an author has added controls to the pixel-perfect report, schedules can be created or updated to respect selections on the filter control.

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Domino Data Lab

JANUARY 21, 2021

Having used pandas profiling for a series of my own projects, I’m pleased to say thisi package has been designed for ease of use and flexibility from the ground up: It has minimal prerequisites for use: Python 3, Pandas, and a web browser is all one needs to access the HTML-based reports. Last but not least: it is customizable.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

BI-Survey

MARCH 19, 2025

It’s like having a colleague who knows exactly which report you need before you even ask for it. Before the ChatGPT era transformed our expectations, Machine Learning was already quietly revolutionizing data discovery and classification.

Metadata 52

Metadata Data-driven Unstructured Data Data Governance 52

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. What is Data Science? Data Science tool. Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98