O'Reilly on Data

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. at Facebook—both from 2020.

Unstructured Data 196

Unstructured Data Structured Data Modeling Statistics 196

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 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Modeling 291

Modeling Deep Learning Machine Learning Data Science 291

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

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

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

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

Analytics Vidhya

SEPTEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical application of the supervised NLP fastText model for detecting sarcasm in news headlines. About 80% of all information is unstructured, and text is one of the most common types of unstructured data.

Unstructured Data 279

Unstructured Data Data Science Publishing Modeling 279

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 91

Enterprise Unstructured Data Contextual Data Data-driven 91

DataRobot Blog

MAY 5, 2022

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. Today, managing unstructured data is an arduous task. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

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 Modeling 119

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 128

Management Enterprise Unstructured Data Deep Learning 128

CIO Business Intelligence

JULY 24, 2024

Large language models (LLMs) are hard to beat when it comes to instantly parsing reams of publicly available data to generate responses to general knowledge queries. The key to this approach is developing a solid data foundation to support the GenAI model.

Modeling 75

Modeling Insurance Cost-Benefit Unstructured Data 75

CIO Business Intelligence

SEPTEMBER 19, 2024

While it’s still early days, he pointed out that “[the agents] basically run off of data, and the quality of data that you have is fundamental to the quality of the output of the model. That work takes a lot of machine learning and AI to accomplish.

Data Governance 113

Data Governance Metadata Unstructured Data Structured Data 113

CIO Business Intelligence

AUGUST 21, 2024

Add context to unstructured content With the help of IDP, modern ECM tools can extract contextual information from unstructured data and use it to generate new metadata and metadata fields. An ML IDP model can be trained to identify each type of document and route it to the appropriate department.

Insurance 114

Insurance Management Metadata Unstructured Data 114

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

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 137

Enterprise Data Architecture Unstructured Data Insurance 137

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 97

Deep Learning Unstructured Data Machine Learning Modeling 97

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

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. In the pipeline, the data ingestion process takes shape through a thoughtfully structured sequence of steps.

Unstructured Data 108

Unstructured Data Metadata Consulting Machine Learning 108

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 195

Modeling Data Science Publishing Analytics 195

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 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

Analytics Vidhya

FEBRUARY 13, 2020

Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The authors analyze four popular deep learning. The post Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures appeared first on Analytics Vidhya.

Deep Learning 329

Deep Learning Modeling Analytics Unstructured Data 329

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 95

Data Transformation Machine Learning Data Lake Dashboards 95

CIO Business Intelligence

OCTOBER 2, 2024

A “state-of-the-art” data and analytics enablement platform can vastly improve identity resolution, helping to prevent fraud. Ideally, it will link structured data like traditional offline identities with unstructured data, including behavioral information, device properties, and other factors.

Analytics 106

Analytics Unstructured Data Interactive Data Governance 106

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. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 108

Data Governance Unstructured Data Metadata Data Lake 108

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

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. The rest are on premises.

Data Lake 127

Data Lake Machine Learning Data Warehouse Unstructured Data 127

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 106

Unstructured Data Data Science Uncertainty Sales 106

IBM Big Data Hub

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? That’s where the foundation model enters the picture.

Modeling 55

Modeling Cost-Benefit Data Lake Machine Learning 55

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data modeling basics.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

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 251

Machine Learning Testing Modeling Cost-Benefit 251

Cloudera

NOVEMBER 4, 2024

These methods were often time-consuming, labor-intensive, and limited in their ability to handle complex language nuances and unstructured data. CAI is a robust platform for data scientists and Artificial Intelligence (AI) practitioners to build, train, deploy, and manage models and applications at scale.

Unstructured Data 73

Unstructured Data Machine Learning Modeling Enterprise 73

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. For getting data from Amazon Redshift, we use the Anthropic Claude 2.0

Unstructured Data 101

Unstructured Data Data Warehouse Structured Data Testing 101

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. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84