The Data Visualisation Catalogue

DECEMBER 13, 2021

To demonstrate the potential new content structure being implemented on an existing visualisation reference page, here’s an example provided for Bar Charts : Bar Chart. A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention. User Modeling and User-Adapted Interaction , 16(1), 1–30. Description.

Visualization 115

Visualization Experimentation Publishing Interactive 115

Analytics Vidhya

OCTOBER 27, 2020

Introduction Virtual reality refers to a simulation generated by a computer which allows user interaction with the use of special headsets. In simple words, The post Virtual Reality for the Web: A-Frame(Creating 3D models from Images) appeared first on Analytics Vidhya.

Modeling 272

Modeling Interactive Analytics Unstructured Data 272

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. In previous posts, we demonstrated how you can use the automatic model training capability of Redshift ML to train classification and regression models.

Modeling 96

Modeling Data Warehouse Machine Learning Recreation/Entertainment 96

IBM Big Data Hub

MAY 17, 2024

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

Modeling 82

Modeling Cost-Benefit Optimization Digital Transformation 82

IBM Big Data Hub

JANUARY 3, 2024

Most everyone has heard of large language models, or LLMs, since generative AI has entered our daily lexicon through its amazing text and image generating capabilities, and its promise as a revolution in how enterprises handle core business functions. Enter the world of Large Speech Models, or LSMs.

Modeling 108

Modeling Interactive Metrics Testing 108

David Menninger's Analyst Perspectives

MARCH 13, 2024

However, despite the ease with which individuals can use AI as a result of natural language processing , creating and managing AI models is still a challenge. 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 196

Machine Learning Data-driven Modeling Software 196

AWS Big Data

APRIL 11, 2023

Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels. By transforming data, organizations can enhance the accuracy and dependability of their forecasting models, ultimately leading to improved inventory management and cost savings.

Forecasting 73

Forecasting Management IoT Data-driven 73

BA Learnings

SEPTEMBER 26, 2020

According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Failing to adjust one’s business model to suit the ever-dynamic business environment can threaten and diminish the longevity of any business.

Modeling 130

Modeling Cost-Benefit Strategy Technology 130

BA Learnings

SEPTEMBER 26, 2020

According to a study conducted by IBM in 2012, companies that perform well tend to innovate their business models quite frequently, compared to underperformers. Failing to adjust one’s business model to suit the ever-dynamic business environment can threaten and diminish the longevity of any business.

Modeling 130

Modeling Cost-Benefit Strategy Technology 130

Dataiku

AUGUST 31, 2023

As organizations become increasingly reliant on machine learning models, it is essential that data scientists maintain model effectiveness and reliability. Let’s explore what data drift is, detection methods, monitoring strategies, and effective management techniques to ensure your models remain robust and dependable.

Modeling 69

Modeling Management Machine Learning Strategy 69

Analytics Vidhya

MAY 8, 2024

In robotics, sim-to-real transfer refers to transferring policies learned in simulation to the real world. Introduction Have you ever thought robots would learn independently with the power of LLMs? It’s happening now! DrEureka is automating sim-to-real design in robotics.

Analytics 270

Analytics IT Deep Learning Machine Learning 270

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

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

Analytics Vidhya

NOVEMBER 20, 2023

Introduction This article concerns building a system based upon LLM (Large language model) with the ChatGPT AI-1. To have an insight into the concepts, one may refer to: [link] This article will adopt a step-by-step approach. It is expected that readers are aware of the basics of Prompt Engineering.

Modeling 210

Modeling Analytics IT 210

Dataiku

JANUARY 9, 2023

Sadly, our favorite team didn’t win, but it’s not a big deal since the model we created to predict World Cup game outcomes performed very well! If you haven’t heard about how we used ML to make 2022 World Cup predictions, we invite you to check our first blog post here , as there will be many references to what we previously detailed.

Modeling 98

Modeling IT 98

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

AWS Big Data

JULY 14, 2023

To collect that information, Bob gets in touch with the head of each department, who in turn refer him to their development leads, who in turn give him a bunch of technical documents that explain how APIs are being used. The model should be able to showcase to LOBs their categories and capabilities.

Modeling 68

Modeling Visualization Reporting Measurement 68

Analytics Vidhya

DECEMBER 4, 2020

Introduction Random Forests are always referred to as black-box models. This article was published as a part of the Data Science Blogathon. Let’s try. The post Lets Open the Black Box of Random Forests appeared first on Analytics Vidhya.

Data Science 351

Data Science Publishing Modeling Analytics 351

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 90

Modeling Statistics Machine Learning Testing 90

Analytics Vidhya

FEBRUARY 4, 2022

classification refers to a predictive modeling problem where a class label is predicted for a given example of […]. Introduction In this article, we are going to solve the Loan Approval Prediction Hackathon hosted by Analytics Vidhya. The post Loan Approval Prediction Machine Learning appeared first on Analytics Vidhya.

Machine Learning 266

Machine Learning Predictive Modeling Data Processing Modeling 266

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

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. Data Modeling with erwin Data Modeler.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

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. Aidan Hogan at SEMANTiCS 2023.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models can use language, vision and more to affect the real world.

Risk 77

Risk Modeling Management Metadata 77

CIO Business Intelligence

MAY 9, 2024

That move was expected to help SAP exploit the natural language processing capabilities of Watson AI along with predictive insights, with the aim of jointly developing large language models (LLMs) and generative AI capabilities. The collaboration will also see SAP access IBM’s Granite family of large language models to develop AI use cases.

Consulting 96

Consulting Digital Transformation Manufacturing Enterprise 96

erwin

JULY 11, 2019

At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. Business Process Modeling: The First Step to Giving Customers What They Expect. Data usage.

Digital Transformation 106

Digital Transformation Modeling Data Governance Visualization 106

CIO Business Intelligence

JULY 15, 2022

COVID-19’s disruption of traditional business models has paved the way for long overdue business operational changes. In response to these adverse circumstances, businesses increasingly adopted technology and an asset-light model to navigate these market challenges. By: Amrita Shergill, Account Manager, NaaS and Ecosystem Sales.

Modeling 86

Modeling Strategy Sales Marketing 86

Analytics Vidhya

JUNE 26, 2023

Responsible AI refers to the sustainable […] The post How to Build a Responsible AI with TensorFlow? With the pace at which AI is developing, ensuring the technology is safe has become increasingly important. This is where responsible AI comes into the picture. appeared first on Analytics Vidhya.

Technology 258

Technology Analytics Machine Learning Modeling 258

Smart Data Collective

JUNE 15, 2021

However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model. Without a good business model, you won’t understand customer needs and how to build your startup.

Modeling 91

Modeling Advertising Cost-Benefit Machine Learning 91

Rocket-Powered Data Science

JUNE 17, 2022

The dominant references everywhere to Observability was just the start of awesome brain food offered at Splunk’s.conf22 event. Reference ) The latest updates to the Splunk platform address the complexities of multi-cloud and hybrid environments, enabling cybersecurity and network big data functions (e.g., is here, now!

Machine Learning 237

Machine Learning Recreation/Entertainment Risk Business Objectives 237

Analytics Vidhya

JUNE 9, 2023

Introduction Object Localization refers to the task of precisely identifying and localizing objects of interest within an image. It plays a crucial role in computer vision applications, enabling tasks like object detection, tracking, and segmentation.

Analytics 270

Analytics IT Modeling 270

Analytics Vidhya

MAY 27, 2023

Introduction Bike-sharing demand analysis refers to the study of factors that impact the usage of bike-sharing services and the demand for bikes at different times and locations. The purpose of this analysis is to understand the patterns and trends in bike usage and make predictions about future demand.

Statistics 274

Statistics Machine Learning Analytics Forecasting 274

AWS Big Data

NOVEMBER 17, 2023

For more information, refer SQL models. Tests – These are assertions you make about your models and other resources in your dbt project (such as sources, seeds, and snapshots). They are analogous to “functions” in other programming languages, and are extremely useful if you find yourself repeating code across multiple models.

Snapshot 90

Snapshot Data Processing Testing Data Warehouse 90

Decision Management Solutions

APRIL 8, 2020

Historical approaches – current practices – are often referred to as “best practices” even though no-one has ever really challenged them. Instead of arguing about decision-making, you can model decision-making. You can develop what are called Decision Requirements Models using the Decision Model and Notation standard.

Modeling 72

Modeling Optimization Metrics Testing 72

Domino Data Lab

JULY 17, 2021

The system here will identify, via some meaningful sense, which existing speakers’ model does the utterance match. If the unknown utterance is spoken by a speaker outside the list of existing speakers, the model will nonetheless map it to some speaker from that list. It determines whether the individual is who they claim to be.

Modeling 64

Modeling Testing Machine Learning Measurement 64

erwin

APRIL 4, 2022

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. So, this release of erwin Data Modeler aligns with the release of erwin Data Intelligence 12.0,” he concluded. “So,

Modeling 52

Modeling Data Processing Data-driven Big Data 52

Dataiku

OCTOBER 7, 2022

Automated machine learning, or AutoML, refers to tools and services that abstract the expertise required for machine learning (ML) by automating the operations necessary to make ML happen. Majime is a data scientist intern, a data facilitator and mentor for bootcamps at Tera, and a dedicated writer who is always looking for new challenges.

Modeling 52

Modeling Machine Learning Data Science 52