Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. LLM is by its very design a language model. The meaning of the data is the most important component – as the data models are on their way to becoming a commodity.

Modeling 98

Modeling Management Structured Data Data Architecture 98

datapine

NOVEMBER 13, 2019

It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. And procurement reporting is no exception to this.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

FineReport

JULY 16, 2021

You need the ability of data analysis to aid in enterprise modeling. If the company has reached a high degree of informatization, the success rate of importing the BI system will definitely be greatly improved. Business Intelligence System: Definition, Application & Practice shows at FineReport first. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. It’s not trivial,” she says.

Modeling 125

Modeling Enterprise Marketing Sales 125

Analytics Vidhya

DECEMBER 28, 2023

They capture the temporal dependencies between entities and offer a robust framework for modeling and analyzing time-varying relationships. Further in this guide, you will explore temporal graphs in data science—definition, […] The post A Comprehensive Guide to Temporal Graphs in Data Science appeared first on Analytics Vidhya.

Data Science 232

Data Science Interactive Modeling Analytics 232

FineReport

MAY 18, 2023

In addition, DSS allows managers to experiment with data and models to develop the best decision-making strategy for a given situation. Managers can use data analysis models to solve unstructured problems using DSS. They are related to rule-based work that models and analyzes data for decision-making.

Reporting 52

Reporting Management Key Performance Indicator Dashboards 52

FineReport

JUNE 11, 2021

This article will discuss the definition of business intelligence and analytics and the difference between them. Definition. According to the definition, business intelligence and analytics refer to the data management solutions implemented in companies to collect, analyze and drive insights from data.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Analytics Vidhya

MAY 26, 2022

Introduction What are Large Language Models(LLM)? Most of you definitely faced this question in your data science journey. Large Language Models are often tens of terabytes in size and are trained on massive volumes of text data, occasionally reaching petabytes. They’re also among the models with the most […].

Data Science 336

Data Science Publishing Modeling Analytics 336

erwin

AUGUST 20, 2020

As organization’s become increasingly complex, agile enterprise architecture can help organizations avoid over-analysis – often dubbed “analysis paralysis” – and take a “just-in-time”, “just-enough” approach to modeling. Why Is Enterprise Architecture Important?

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

FineReport

APRIL 9, 2021

It often happens in very new sectors or in companies whose business models are relatively innovative. Financial Reporting & Financial Analysis: Definitive Guide shows at FineReport first. By comparison with peers, a financial analyst can detect the strengths and shortcomings which may always be meaningful for future enhancement.

Reporting 98

Reporting Finance Dashboards Enterprise 98

erwin

JANUARY 24, 2020

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts. Logical Data Models: Entity types, data attributes and relationships between entities.

Modeling 143

Modeling Business Driver Sales Data-driven 143

Occam's Razor

APRIL 2, 2012

And as if that was not enough, :), I'll close the post with my thoughts on digital marketing attribution models. Almost all current, hot and heavy, literature on the topic of attribution modeling does not cover MCA-O2S. Because of all of the above you can see why attribution models don't even enter the picture with MCA-AMS.

Modeling 152

Modeling Advertising Marketing Measurement 152

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. What are large language models?

Modeling 85

Modeling Enterprise Software Machine Learning 85

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? Amidst the evolving technological landscape, one constant remains despite the ongoing attacks from nay-sayers: the importance of data modeling as a foundational step in the delivery of data to these forward-thinking organizations. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

FineReport

MAY 31, 2023

Dupont Analysis Dashboard FineReport simplifies the implementation of the Dupont analysis model, enabling an in-depth examination of an enterprise’s financial condition through Return on Investment (ROI). The Dupont analysis model comprises three key components: profit margin, asset turnover, and equity multiplier.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important? What’s the Best Data Modeling Tool?

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

FineReport

JANUARY 5, 2022

Definition. These will give you the flexibility to adapt your business models and processes to the ever-changing landscape. As a result, users can select the most appropriate model based on the application scenario to speed up report design and production while achieving the desired report effect perfectly. Analytics reports.

Reporting 52

Reporting Analytics Visualization Dashboards 52

erwin

DECEMBER 17, 2020

What is Microsoft’s Common Data Model (CDM), and why is it so powerful? The same is true for data, with a number of vendors creating data models by vertical industry (financial services, healthcare, etc.) By having a single definition of something, complex ETL doesn’t have to be performed repeatedly.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. Knowledge graphs model knowledge of a domain as a graph with a network of entities and relationships.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

Domino Data Lab

NOVEMBER 14, 2019

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Yet, Bin Yu, W.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 271

Modeling Machine Learning Risk Advertising 271

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. As with the part 1 and part 2 of this data modeling blog series, the cloud is not nirvana. Data modeling basics. Data Modeling. This blog is based upon a recent webcast that can be viewed here.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

IBM Big Data Hub

APRIL 4, 2023

We taught an AI model to analyze Masters video and produce highlight reels for every player, minutes after their round is complete. We built models that generate scoring predictions for every player on every hole. The second need is closely related, and really applies to any AI model used in a corporate setting.

Modeling 82

Modeling Consulting Metadata Enterprise 82

O'Reilly on Data

FEBRUARY 15, 2022

But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. That definition itself is ambiguous.

Testing 290

Testing Modeling Measurement IT 290

CIO Business Intelligence

APRIL 11, 2023

Over the next five years, the healthcare industry is expected to go through dramatic changes as service providers expand value-based care models and equipment manufacturers strive to keep pace in a digital-first world. Betadam: I think there is definitely a slowdown in innovation activities, especially during times of economic uncertainty.

Modeling 97

Modeling IT Strategy Uncertainty 97

Alation

MARCH 24, 2022

According to the Data Governance Institute, data governance is “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models, which describe who can take what actions with what information, and when, under what circumstances, using what methods.” Apress, 2014.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

CIO Business Intelligence

MAY 27, 2024

It was definitely striking, I will say,” said Alyssa Lefaivre Škopac, head of global partnerships and growth with the RAI, of a panel that is made up of four white male entrepreneurs. “We It was definitely disappointing to see the advisory panel from Meta take the composition it did.”

Risk 112

Risk Strategy Consulting Technology 112

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Also, a column in the dataset indicates if each flight had arrived on time or late.

Modeling 83

Modeling Statistics Machine Learning Testing 83

Ontotext

OCTOBER 12, 2023

Did you know that, if you add “take a deep breath” to a prompt, chances are you will get more accurate results from Large Language Models (LLMs)? Do Knowledge Graphs Dream of Large Language Models? I didn’t either. He shared the need for more research at the intersection of LLMs and knowledge graphs.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

KDnuggets

JUNE 19, 2023

In this article we will learn about its definition, differences and how to calculate FLOPs and MACs using Python packages.

Deep Learning 82

Deep Learning Modeling IT Machine Learning 82

Ontotext

FEBRUARY 19, 2020

Although there is still no single, universally accepted definition, there have been various attempts at it – such as in Towards a Definition of Knowledge Graphs. We hope it will bring some clarity to the topic and will help you get a better understanding of what it takes to craft a knowledge graph the semantic data modeling way.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

TDAN

AUGUST 18, 2020

The business glossary is simple in concept, but it can be a challenge to structure, define and maintain shared business terminology. Consistent business meaning is important because distinctions between business terms are not typically well defined or documented.

Management 96

Management Metadata Data Architecture IT 96