O'Reilly on Data

DECEMBER 19, 2018

In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. However, machine learning isn’t possible without data, and our tools for working with data aren’t adequate.

Machine Learning 279

Machine Learning Software Metadata Testing 279

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Machine learning developers are beginning to look at an even broader set of risk factors. Sources of model risk.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. 2] The Security of Machine Learning. [3] ML security audits.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . We built this AMP for two reasons: To add an AI application prototype to our AMP catalog that can handle both full document summarization and raw text block summarization.

Machine Learning 75

Machine Learning Modeling Testing Optimization 75

CIO Business Intelligence

NOVEMBER 14, 2024

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. Explainability is also still a serious issue in AI, and companies are overwhelmed by the volume and variety of data they must manage.

Machine Learning 59

Machine Learning Risk Modeling Enterprise 59

Analytics Vidhya

OCTOBER 1, 2023

For invoice extraction, one has to gather data, build a document search machine learning model, model fine-tuning etc. Introduction Before the large language models era, extracting invoices was a tedious task. The introduction of Generative AI took all of us by storm and many things were simplified using the LLM model.

Machine Learning 348

Machine Learning Modeling Analytics Data Science 348

Analytics Vidhya

APRIL 1, 2024

Introduction The advent of AI and machine learning has revolutionized how we interact with information, making it easier to retrieve, understand, and utilize.

Machine Learning 318

Machine Learning Interactive Modeling Analytics 318

Analytics Vidhya

FEBRUARY 3, 2022

If you are new to Azure machine learning, I would recommend you to go through the Microsoft documentation that has been provided in the […]. This article was published as a part of the Data Science Blogathon. This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud.

Modeling 337

Modeling Machine Learning Data Science Publishing 337

O'Reilly on Data

NOVEMBER 19, 2024

Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents. Chunk your documents from unstructured data sources, as usual in GraphRAG. at Facebook—both from 2020.

Unstructured Data 318

Unstructured Data Structured Data Modeling Statistics 318

KDnuggets

MAY 10, 2022

While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

Machine Learning 136

Machine Learning IT 136

Analytics Vidhya

JULY 27, 2023

Introduction A highly effective method in machine learning and natural language processing is topic modeling. A corpus of text is an example of a collection of documents. This technique involves finding abstract subjects that appear there.

Modeling 271

Modeling Machine Learning Analytics 271

Rocket-Powered Data Science

JULY 6, 2021

So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Do not forget the negations.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

CIO Business Intelligence

OCTOBER 24, 2024

We end up in a cycle of constantly looking back at incomplete or poorly documented trouble tickets to find a solution.” The number one help desk data issue is, without question, poorly documented resolutions,” says Taylor. High quality documentation results in high quality data, which both human and artificial intelligence can exploit.”

Machine Learning 110

Machine Learning Software Reporting Interactive 110

CIO Business Intelligence

AUGUST 21, 2024

As explained in a previous post , with the advent of AI-based tools and intelligent document processing (IDP) systems, ECM tools can now go further by automating many processes that were once completely manual. That relieves users from having to fill out such fields themselves to classify documents, which they often don’t do well, if at all.

Insurance 116

Insurance Management Metadata Unstructured Data 116

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

AWS Big Data

OCTOBER 17, 2024

Kinesis Data Analytics for SQL has been denoted a legacy offering since 2021 on our marketing pages, the AWS Management Console , and public documentation. We also provide documentation to help customers migrating machine learning workloads from Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink.

Management 136

Management Data Analytics Analytics Recreation/Entertainment 136

CIO Business Intelligence

AUGUST 21, 2024

Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises. Not so with unstructured content.

Insurance 122

Insurance Unstructured Data Structured Data Enterprise 122

Analytics Vidhya

MAY 15, 2024

Leveraging state-of-the-art Machine Learning techniques enables organizations to extract valuable insights, automate tasks, and enhance customer experiences through advanced understanding. Introduction This guide primarily introduces the readers to Cohere, an Enterprise AI platform for search, discovery, and advanced retrieval.

Machine Learning 318

Machine Learning Enterprise Analytics Modeling 318

Smart Data Collective

SEPTEMBER 4, 2023

Among these innovations is the world of document processing where automation has revolutionized traditional methods. The Rise Of Automated Document Processing You’ve likely come across automated document processing in your industry endeavors. Not everyone in your organization needs to access every document.

Data Integration 122

Data Integration Cost-Benefit Consulting Software 122

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

CIO Business Intelligence

OCTOBER 28, 2024

This phenomenon, known as hallucination, has been documented across various AI models. Another machine learning engineer reported hallucinations in about half of over 100 hours of transcriptions inspected. A third study identified hallucinations in nearly every one of 26,000 transcripts generated using Whisper, AP said.

Risk 120

Risk Reporting Machine Learning Consulting 120

O'Reilly on Data

MARCH 24, 2020

On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 Before you even think about sophisticated modeling, state-of-the-art machine learning, and AI, you need to make sure your data is ready for analysis—this is the realm of data preparation.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

NOVEMBER 1, 2024

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. He estimates 40 generative AI production use cases currently, such as drafting and emailing documents, translation, document summarization, and research on clients.

IT 122

IT Insurance Consulting Risk 122

Analytics Vidhya

APRIL 30, 2024

This enigmatic model has been released without official documentation, leading to speculation about its origins and capabilities. This new artificial intelligence (AI) model has recently emerged and is causing quite a stir in the tech community.

IT 327

IT Modeling Analytics Deep Learning 327

IBM Big Data Hub

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. In this blog post, we will explore the importance of lineage transparency for machine learning data sets and how it can help establish and ensure, trust and reliability in ML conclusions.

Machine Learning 87

Machine Learning Modeling Metadata Strategy 87

Analytics Vidhya

SEPTEMBER 5, 2024

Introducing Multimodal RAG, text and image, documents and more, to give a […] The post Understanding Multimodal RAG: Benefits and Implementation Strategies appeared first on Analytics Vidhya. However, what if one could go a little further more than the other in that sense?

Strategy 271

Strategy Analytics Machine Learning Modeling 271

AWS Big Data

NOVEMBER 19, 2024

A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In a real-world scenario, organizations want to make sure their users access only documents they are entitled to access. The following diagram depicts the solution architecture.

Management 98

Management Metadata Manufacturing Testing 98

David Menninger's Analyst Perspectives

OCTOBER 16, 2024

These applications, infused with contextually relevant recommendations, predictions and forecasting, are driven by machine learning and generative AI. Weaver left Fauna in 2023, but Freels remains with the company as chief architect, leading the continued development of the company’s serverless document-relational database.

Internet of Things 214

Internet of Things Data-driven Data Warehouse Interactive 214

Rocket-Powered Data Science

AUGUST 22, 2021

Surveys and reports have documented that the strong improvement in call center staff EX is a source of significant value to the entire organization. Learn more about the modern Call Center and CX Reimagined at CX Summit 2021 , presented by Five9. Not only is the CX amplified, but so is the EX (Employee Experience).

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

CIO Business Intelligence

NOVEMBER 27, 2024

By eliminating time-consuming tasks such as data entry, document processing, and report generation, AI allows teams to focus on higher-value, strategic initiatives that fuel innovation.

Data Governance 132

Data Governance Risk Insurance Metadata 132

Analytics Vidhya

MAY 8, 2024

Introduction to Ludwig The development of Natural Language Machines (NLP) and Artificial Intelligence (AI) has significantly impacted the field. These models can understand and generate human-like text, enabling applications like chatbots and document summarization.

Modeling 318

Modeling Analytics Deep Learning Machine Learning 318

AWS Big Data

NOVEMBER 11, 2024

For agent-based solutions, see the agent-specific documentation for integration with OpenSearch Ingestion, such as Using an OpenSearch Ingestion pipeline with Fluent Bit. This includes adding common fields to associate metadata with the indexed documents, as well as parsing the log data to make data more searchable.

Metadata 118

Metadata Metrics Analytics Data Processing 118

AWS Big Data

DECEMBER 18, 2024

The service also provides multiple query languages, including SQL and Piped Processing Language (PPL) , along with customizable relevance tuning and machine learning (ML) integration for improved result ranking. Lexical search relies on exact keyword matching between the query and documents.

Metrics 87

Metrics Modeling Data Processing Machine Learning 87

Analytics Vidhya

SEPTEMBER 25, 2023

This technology can potentially revolutionize forensic science by aiding investigators in tasks such as image and video analysis, document forgery detection, crime scene reconstruction, and more.

Technology 331

Technology Analytics Machine Learning Visualization 331

CIO Business Intelligence

NOVEMBER 18, 2024

The Global Banking Benchmark Study 2024 , which surveyed more than 1,000 executives from the banking sector worldwide, found that almost a third (32%) of banks’ budgets for customer experience transformation is now spent on AI, machine learning, and generative AI.

Digital Transformation 141

Digital Transformation Consulting Cost-Benefit Marketing 141

O'Reilly on Data

JANUARY 17, 2023

” If none of your models performed well, that tells you that your dataset–your choice of raw data, feature selection, and feature engineering–is not amenable to machine learning. All of this leads us to automated machine learning, or autoML. Perhaps you need a different raw dataset from which to start.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363