Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

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Data Collection Data Quality Big Data Data-driven 128

Analytics Vidhya

SEPTEMBER 21, 2022

Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research.

Big Data 400

Big Data Data Collection Data Science Publishing 400

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is defined as information that has been organized in a meaningful way. Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better?

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Data Lake Data Warehouse Data Collection Data Science 373

Smart Data Collective

AUGUST 27, 2023

This is where data collection steps onto the pitch, revolutionizing football performance analysis in unprecedented ways. The Evolution of Football Analysis From Gut Feelings to Data-Driven Insights In the early days of football, coaches relied on gut feelings and personal observations to make decisions.

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Data Collection Broadcasting Data-driven Predictive Analytics 98

Analytics Vidhya

JUNE 7, 2022

Introduction on Data Warehousing In today’s fast-moving business environment, organizations are turning to cloud-based technologies for simple data collection, reporting, and analysis. This is where Data Warehousing comes in as a key component of business intelligence that enables businesses to improve their performance.

Business Intelligence 353

Business Intelligence Data Collection Data Science Publishing 353

Analytics Vidhya

MAY 3, 2024

Introduction In the field of data science, how you present the data is perhaps more important than data collection and analysis. Data scientists often find it difficult to clearly communicate all of their analytical findings to stakeholders of different levels.

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Visualization Data Science Data Collection Analytics 318

CIO Business Intelligence

JULY 23, 2024

Oracle also “ceased operation of its AddThis tracking mechanism only after Plaintiffs’ initial pleadings alleged that Oracle’s collection of data through AddThis violated Plaintiffs’ privacy rights.” Oracle also shut down its ad tech business, which plaintiffs say was related to the settlement.

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Data Collection Advertising Risk Consulting 102

Analytics Vidhya

OCTOBER 4, 2023

The awareness of the importance of data has led to its voluminous collection. Efficient AI-based automation in different industries has led to its incorporation in data collection and extraction […] The post Top 5 AI Web Scraping Platforms appeared first on Analytics Vidhya.

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Data Collection Analytics IT Data Science 328

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

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Technology Internet of Things IT IoT 279

Analytics Vidhya

MARCH 5, 2023

A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version.

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Data Collection Management Technology Analytics 319

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.

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Data Architecture Management Consulting Internet of Things 122

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Analytics 271

Analytics Data Collection Reporting Technology 271

CIO Business Intelligence

SEPTEMBER 26, 2024

Retailers are preparing their technology systems to scan 2D barcodes and ingest the data, an initiative known as Sunrise 2027. Passive, battery-free RAIN RFID can identify and track items without direct line-of-sight access, enabling real-time, automated data collection and reporting at critical points along the product’s journey.”

IT 131

IT Manufacturing IoT Cost-Benefit 131

O'Reilly on Data

NOVEMBER 13, 2019

While Jonas applauds such inquiry and thinking deeply about the social ramifications of AI research, he is concerned the questions might be reinventing the wheel: “The data collection itself often has serious ramifications that we’ve all been wrestling with for 15 years. ” ( 2:12 ).

Machine Learning 277

Machine Learning Data Collection Modeling IT 277

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. One type of implementation of a content strategy that is specific to data collections are data catalogs. Data catalogs are very useful and important.

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Strategy Machine Learning Metadata Knowledge Discovery 267

CIO Business Intelligence

NOVEMBER 27, 2024

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. And while most executives generally trust their data, they also say less than two thirds of it is usable. At worst, it can go in and remove signal from your data, and actually be at cross purposes with what you need.”

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Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. As a result, AI skills are now among the most sought-after skills, even as companies retrench via layoffs.

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Deep Learning IT Machine Learning IoT 124

CIO Business Intelligence

APRIL 29, 2022

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant. Data Centricity. The excitement is palpable.

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Data Governance IT Data Lake Risk 145

CIO Business Intelligence

FEBRUARY 20, 2025

Outdated software applications are creating roadblocks to AI adoption at many organizations, with limited data retention capabilities a central culprit, IT experts say. The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says. But they can be modernized.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

CIO Business Intelligence

MARCH 19, 2025

To overcome these barriers, CDOs must proactively demonstrate the strategic benefits of sustainability-driven data initiatives, seek cross-functional collaboration and advocate for long-term investments in ESG data management. Beyond environmental impact, social considerations should also be incorporated into data strategies.

IT 59

IT Data Governance Data-driven Metrics 59

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Smart Data Collective

AUGUST 25, 2022

In just a few years, billions of devices will be connected to the internet, collecting and sharing data. The IoT empowers organizations with real-time information that was once too expensive or difficult to collect. For businesses, these considerations include data privacy, security, and liability.

IoT 145

IoT Internet of Things IT Manufacturing 145

Rocket-Powered Data Science

MARCH 10, 2020

“Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

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Data Collection Digital Transformation Big Data Forecasting 248

CIO Business Intelligence

SEPTEMBER 27, 2024

Gen AI in practice is a special case of Euronics’ strategy that concerns data and analysis , and the task of those who direct it — the CIO or the CDO — is to understand when to apply it, and when not to. The value of data in nonprofits Even for Emergency, the Italian NGO, data is a strategic asset to be enhanced and protected.

Management 128

Management IT Cost-Benefit Testing 128

Smart Data Collective

JUNE 29, 2021

In order to appreciate the role of big data in insurance, it is necessary to look at its historical context. This is no longer true than when it comes to data. Data today is one of the most valuable resources. Data is different today because of its sheer scale. Has the way insurance evaluates data changed ?

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Insurance Modeling Big Data IT 133

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. trillion by 2030.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

O'Reilly on Data

JANUARY 28, 2019

Consent is the first step toward the ethical use of data, but it's not the last. Informed consent is part of the bedrock of data ethics. It's rightfully part of every code of data ethics I've seen. The problems with consent to data collection are much deeper. But what about the insurance companies?

Insurance 247

Insurance Metadata Data Collection Marketing 247

CIO Business Intelligence

MARCH 4, 2025

A major stumbling block is often quality data collection. Through the Zimin Institutes , which I helped establish, were translating academic research into commercial solutions. Lately, we have been seeing projects transitioning from early applied research to spinouts within 18 months. It was hard to imagine this pace 5-10 years ago.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

O'Reilly on Data

JULY 28, 2020

Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. Identifying the problem.

Marketing 364

Marketing Experimentation Metrics Testing 364

O'Reilly on Data

DECEMBER 10, 2019

As Chris Ré said at our conference , we’ve made a lot of progress in automating data collection and model generation; but labeling and cleaning data have stubbornly resisted automation. HoloClean , another tool developed by researchers from Stanford, Waterloo, and Wisconsin, undertakes automatic error detection and repair.

Software 335

Software Machine Learning Risk Data-driven 335

O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 229

Business Intelligence Data Science Descriptive Analytics Data Collection 229

CIO Business Intelligence

JULY 25, 2024

Further, the IT command center’s central data collection may differ in alerts. The cause may be configuration issues, a data exfiltration attempt, a ransomware attack, a false alert, or something else. However, as ecommerce has proliferated, security threats have increased, elevating cybersecurity to a board-level concern.

IT 111

IT Finance Consulting Reporting 111

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. That data is never as stable as we’d like to think.

Management 363

Management Machine Learning Experimentation Metrics 363

datapine

JANUARY 6, 2022

Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 The importance of data interpretation is evident and this is why it needs to be done properly.

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Visualization Dashboards Cost-Benefit Measurement 246

O'Reilly on Data

MAY 14, 2020

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product. Which stage is the product in currently?

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 349

Enterprise Deep Learning Data Governance Risk 349

Rocket-Powered Data Science

JUNE 17, 2022

’ Observability delivers actionable insights, context-enriched data sets, early warning alert generation, root cause visibility, active performance monitoring, predictive and prescriptive incident management, real-time operational deviation detection (6-Sigma never had it so good!) .’ And the goodness doesn’t stop there.”

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238