CIO Business Intelligence

FEBRUARY 6, 2025

This article reflects some of what Ive learned. The hype around large language models (LLMs) is undeniable. They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Theyre impressive, no doubt.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

OCTOBER 30, 2024

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. And the results for those who embrace a modern data architecture speak for themselves.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

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 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

SEPTEMBER 12, 2024

Now that AI can unravel the secrets inside a charred, brittle, ancient scroll buried under lava over 2,000 years ago, imagine what it can reveal in your unstructured data–and how that can reshape your work, thoughts, and actions. Unstructured data has been integral to human society for over 50,000 years.

Unstructured Data 111

Unstructured Data Deep Learning Metadata Structured Data 111

Analytics Vidhya

SEPTEMBER 7, 2020

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

Machine Learning 354

Machine Learning Modeling Analytics Unstructured Data 354

Analytics Vidhya

MAY 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Topic Modelling in Natural Language Processing appeared first on Analytics Vidhya. Introduction Natural language processing is the processing of languages used.

Modeling 264

Modeling Data Science Publishing Analytics 264

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 304

Testing Machine Learning Consulting Data Quality 304

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya. Introduction The article covers the use of Generative Adversarial Networks (GAN), an.

Modeling 306

Modeling Data Science Publishing Analytics 306

Cloudera

NOVEMBER 15, 2021

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

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 335

Machine Learning Testing Modeling Cost-Benefit 335

CIO Business Intelligence

JANUARY 5, 2025

According to PwC, organizations can experience incremental value at scale through AI, with 20% to 30% gains in productivity, speed to market, and revenue, on top of big leaps such as new business models. [2]

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

Analytics Vidhya

JUNE 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Let’s say you have a client who has a publishing. The post Topic Modeling and Latent Dirichlet Allocation(LDA) using Gensim and Sklearn : Part 1 appeared first on Analytics Vidhya.

Modeling 265

Modeling Publishing Data Science Analytics 265

O'Reilly on Data

MARCH 25, 2025

Two big things: They bring the messiness of the real world into your system through unstructured data. People have been building data products and machine learning products for the past couple of decades. They tried various prompts and models and, based on vibes, decided some were better than others.

Testing 174

Testing Software Data-driven Measurement 174

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. What Are Modeling Tools? Importance of Modeling Tools. Types of Modeling Tools.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Rocket-Powered Data Science

MAY 21, 2024

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

FEBRUARY 20, 2025

When building a machine-learning-powered tool to predict the maintenance needs of its customers, Ensono found that its customers used multiple old apps to collect incident tickets, but those apps stored incident data in very different formats, with inconsistent types of data collected, he says. But they can be modernized.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

O'Reilly on Data

NOVEMBER 18, 2019

In this interview from O’Reilly Foo Camp 2019, Hands-On Unsupervised Learning Using Python author Ankur Patel discusses the challenges and opportunities in making machine learning and AI accessible and financially viable for enterprise applications. Then you have pre-trained models you can do transfer learning with.

ROI 141

ROI Unstructured Data Machine Learning Modeling 141

O'Reilly on Data

FEBRUARY 11, 2020

Just 20% of organizations publish data provenance and data lineage. Adopting AI can help data quality. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Can AI be a catalyst for improved data quality?

Data Quality 361

Data Quality Metadata Data Governance Publishing 361

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

Smart Data Collective

MAY 13, 2022

AI and machine learning. Before you can have AI-driven apps, you need to train a machine learning model to do the work. This means feeding the machine with vast amounts of data, from structured to unstructured data, which will help the device learn how to think, process information, and act like humans.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

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

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. It offers many statistics and machine learning functionalities such as predictive models for future forecasting.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

CIO Business Intelligence

AUGUST 21, 2024

AI and related technologies, such as machine learning (ML), enable content management systems to take away much of that classification work from users. Importantly, such tools can extract relevant data even from unstructured data – including PDFs, email, and even images – and accurately classify it, making it easy to find and use. “AI

Management 134

Management Enterprise Unstructured Data Deep Learning 134

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Cloudera

JANUARY 7, 2025

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. The terms hybrid and multi-cloud are often used interchangeably.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. They’re trying to get a handle on their data estate right now.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

CIO Business Intelligence

JULY 16, 2024

Often the data resides in different databases, in diverse data centers, or in different clouds. Migrating the data into similar databases, and replicating data across multiple locations, provides the availability and speed required for AI applications. As much as 90% of an organization’s data is unstructured.

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

CIO Business Intelligence

SEPTEMBER 12, 2024

For most organizations, the effective use of AI is essential for future viability and, in turn, requires large amounts of accurate and accessible data. Across industries, 78 % of executives rank scaling AI and machine learning (ML) use cases to create business value as their top priority over the next three years.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

CIO Business Intelligence

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Model sizes: ~5 billion to >1 trillion parameters. Model sizes: ~Millions to billions of parameters. Great for: Extracting meaning from unstructured data like network traffic, video & speech.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

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

Cloudera

JUNE 11, 2024

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 142

Unstructured Data Machine Learning Data Science Data mining 142