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 51

Machine Learning Management Enterprise Risk Management 51

Analytics Vidhya

MAY 24, 2021

The post Reproducible ML Reports Using YAML Configs (with codes) appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Research is to see what everybody else has seen and to.

Reporting 337

Reporting Data Science Publishing Analytics 337

Analytics Vidhya

JUNE 25, 2021

The post Generate Reports Using Pandas Profiling, Deploy Using Streamlit appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Pandas library offers a wide range of functions.

Reporting 337

Reporting Data Science Publishing Analytics 337

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. That’s where business intelligence reporting comes into play – and, indeed, is proving pivotal in empowering organizations to collect data effectively and transform insight into action. What Is BI Reporting?

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Introduction According to a report, 55% of businesses have never used a machine learning model before. Eighty-Five per cent of the models will not be brought into production.

Machine Learning 399

Machine Learning Data Science Publishing Reporting 399

Analytics Vidhya

SEPTEMBER 20, 2023

Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning. Aspiring data engineers often seek real-world projects to gain hands-on experience and showcase their expertise.

Machine Learning 353

Machine Learning Reporting Analytics 353

Analytics Vidhya

SEPTEMBER 22, 2021

This article was published as a part of the Data Science Blogathon Image 1 Introduction I am sure many of you have read several articles around the world stating the buzz around “Machine Learning, “Data Scientist”, “Data Visualization” and so on. A report […].

Visualization 342

Visualization Machine Learning Data Science Publishing 342

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The worlds of data science and machine learning move at a much faster pace than data warehousing and much of data engineering.

Data Science 364

Data Science Machine Learning Data Warehouse Deep Learning 364

KDnuggets

JUNE 19, 2024

Perform data integrity tests and generate model evaluation reports by writing a few lines of code.

Testing 144

Testing Machine Learning Data Integration Reporting 144

CIO Business Intelligence

OCTOBER 28, 2024

And that tool is being used in a commercial medical transcription product that, worryingly, deletes the underlying audio from which transcriptions are generated, leaving medical staff no way to verify their accuracy, AP News reported on Saturday. With over 4.2

Risk 119

Risk Reporting Machine Learning Consulting 119

O'Reilly on Data

SEPTEMBER 15, 2021

However, 8% of the correspondents reported decreased compensation, and 18% reported no change. This report focuses on the respondents from the US, with only limited attention paid to those from the UK. A small number of respondents (8%) reported salary decreases, and 18% reported no change.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 269

Big Data Technology Machine Learning Deep Learning 269

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 268

Deep Learning Machine Learning Data Science Metadata 268

datapine

SEPTEMBER 6, 2022

1) What Is Content Reporting? 3) Why Is Content Report Analysis Important? 5) Content Reporting Best Practices. Enter modern content reports. What Is Content Reporting? This is no longer the case, thanks to the introduction of modern reporting tools such as interactive dashboards. Table of Contents.

Dashboards 179

Dashboards Reporting ROI Metrics 179

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

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

OCTOBER 24, 2024

Yet Ivanti’s Everywhere Work Report found only 40% of respondents were using AI for ticket resolution, 35% for knowledge base management, and only 31% for intelligent escalation. Ivanti’s service automation offerings have incorporated AI and machine learning. How AI can help AI can improve many help desk tasks.

Machine Learning 110

Machine Learning Software Reporting Interactive 110

O'Reilly on Data

JANUARY 25, 2024

O’Reilly’s Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI. Learn from their experience to help put AI to work in your enterprise. Why is it hard to come up with appropriate use cases? Why is it hard to come up with appropriate use cases?

Machine Learning 271

Machine Learning Enterprise Reporting Risk 271

Rocket-Powered Data Science

JULY 6, 2021

My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). That is, use AI and machine learning techniques on digital content (databases, documents, images, videos, press releases, forms, web content, social network posts, etc.)

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Analytics Vidhya

DECEMBER 3, 2024

It focuses on creating a chatbot that can understand medical reports uploaded by users and give answers based on the […] The post Building a Multi-Vector Chatbot with LangChain, Milvus, and Cohere appeared first on Analytics Vidhya. This article explains how to build a medical chatbot that uses multiple vectorstores.

Reporting 207

Reporting Analytics IT Machine Learning 207

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

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

However, only 16% of participants in ISG’s Data Governance Benchmark Research report that data is well trusted in their organization. Enterprises Bigeye’s anomaly detection capabilities rely on the automated generation of data quality thresholds based on machine learning (ML) models fueled by historical data.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

AWS Big Data

JANUARY 15, 2025

Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. This led to a complex and slow computations.

IoT 100

IoT Machine Learning Metadata Data-driven 100

O'Reilly on Data

NOVEMBER 19, 2024

at Emory reported that their graph-based approach “significantly outperforms current state-of-the-art RAG methods while effectively mitigating hallucinations.” reported that GraphRAG in LinkedIn customer service reduced median per-issue resolution time by 28.6%. How much do GraphRAG approaches improve over RAG?

Unstructured Data 312

Unstructured Data Structured Data Modeling Statistics 312

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Infor introduced its original AI and machine learning capabilities in 2017 in the form of Coleman, which uses its Infor AI/ML platform built on Amazon’s SageMaker to create predictive and prescriptive analytics. It also offered a chatbot that utilized Amazon Lex.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

CIO Business Intelligence

DECEMBER 11, 2024

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. The degree of engineering discipline required in this pillar correlates with the reports criticality.

Management 111

Management Data Governance Data Science Reporting 111

O'Reilly on Data

FEBRUARY 11, 2020

Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Executives see the big picture, not only vis-à-vis operations and strategy, but also with respect to problems—and, especially, complaints —in the units that report to them. Adopting AI can help data quality.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

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

David Menninger's Analyst Perspectives

MARCH 13, 2024

ISG’s AI Buyer Behavior Survey reported that more than 6 in 10 participants have at least one AI application in production. The process of managing all these parts is referred to as Machine Learning Operations or MLOps. First, there is a shortage of skills.

Machine Learning 200

Machine Learning Data-driven Modeling Reporting 200

O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. While useful, these constructs are not beyond criticism.

Management 308

Management Machine Learning Metrics Modeling 308

CIO Business Intelligence

FEBRUARY 21, 2025

Boston Dynamics well known robotic dog Spot was among the first advanced robots, and most use machine learning (ML) pattern recognition models. Meanwhile, Meta plans to make investments in humanoid robots through its Reality Labs hardware division to first target the consumer market, according to a report from Bloomberg.

Manufacturing 125

Manufacturing Machine Learning Consulting Modeling 125

DataKitchen

NOVEMBER 5, 2024

This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer. At the same time, the Gold layer’s “single version of the truth” makes data accessible and reliable for reporting and analytics.

Data Quality 195

Data Quality Testing Metrics Reporting 195

Rocket-Powered Data Science

FEBRUARY 12, 2021

Repetition implies that the same steps are repeated many times, for example claims processing or business form completion or invoice processing or invoice submission or more data-specific activities, such as data extraction from documents (such as PDFs), data entry, data validation, and report preparation.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234