關於 modelops ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. What is ModelOps and its Operationalization? - XenonStack

What is ModelOps? ... Model Operations are at the center of every organization's enterprise AI approach. It enables technology to converge ...

#12. AI 模型商業價值？ModelOps帶你踏上最後一哩路

此外，能提升模型開發效率及加快上線速度及確認AI預測的表現，上述強大的功能在談論的是近期科技界熱議話題「ModelOps 流程」。

#13. 自動化機制實踐ModelOps 補強資料科學家缺口 - 網管人

對於自動化建模的實踐，SAS是基於ModelOps方法論實作模型生命週期，建立可自動被執行的循環機制，包含模型的部署、執行、重新訓練等操作。陳新銓進一步 ...

#14. Cloud-Based Lifecycle Management for Reliable and Trusted AI

ModelOps : Cloud-Based Lifecycle Management for Reliable and Trusted AI ... Abstract: This paper proposes a cloud-based framework and platform for end-to-end ...

#15. ModelOps Explained Easily | SAS #shorts - YouTube

What is ModelOps and why is it important for Data practitioners and ML engineers? In this short you will quickly understand the concept and ...

#16. ModelOps: Maximizing the Value of Machine Learning and ...

ModelOps streamlines the process of bringing models into production while ensuring quality performance, scaling, and monitoring. From a business ...

#17. ModelOps: A Winning Approach to Increase the Impact of ...

The goal of ModelOps is to have a holistic approach for model validation, deployment, testing and maintenance, to ensure that these steps are connected.

#18. TIBCO® ModelOps

You'll have the transparency to determine whether model decisions are justified, understood, traced, and doing no harm. ModelOps software is essential for ...

#19. MLOps vs. DevOps vs. ModelOps: A detailed comparison

ModelOps is a system that allows multiple AI objects, solutions, and frameworks to be converged while retaining scalability and governance. In simple terms, ...

#20. The role of governance and ModelOps in unlocking ... - LinkedIn

Let's hone in on Model Operations (ModelOps), an emerging category of companies within the broader artificial intelligence/machine learning ...

#21. 「掌握AI營運化關鍵:ModelOps」線上研討會 - BrightTALK

透過ModelOps流程對AI模型進行生命週期管理，以基於DevOps 的文化精神，將模型(Model)和營運流程(Ops)之間緊密連結，持續地驗證、部署、更新至營運層面， ...

#22. Ten Things to Know About ModelOps [Book] - O'Reilly

This report explains how ModelOps can provide both technical and operational solutions to these problems. Thomas Hill, Mark Palmer, and Larry Derany summarize ...

#23. What Is ModelOps? ModelOps vs. MLOps - Addepto

At its core, ModelOps aims to improve the accuracy and efficiency of model-building processes while ensuring proper deployment and maintenance ...

#24. Model Ops | ML Model Deployment - Minitab

ModelOps Webinar. Webinar. Boost Your Predictive Analytics Skillset with Minitab Statistical Software ›. Model Ops One Pager. Brochure.

#25. What is ModelOps? - The Chief IO

ModelOps is a structured approach to operationalizing all predictive analytics and machine learning and artificial intelligence models -- it a framework that ...

#26. ModelOps: Enhancing the Performance and Scalability of ...

ModelOps can be referred to as the management and operationalisation of ML models within the ML processing of any organisation.

#27. ModelOps | Datatron Platform

MLOps is a framework for managing machine learning and applying DevOps principles to accelerate the development, testing, and deployment of AI/ML models. Its ...

#28. ModelOps for enhanced decision-making and governance in ...

ModelOps (short for model operations) is a holistic approach to automating the deployment, monitoring, governance and continuous improvement of ...

#29. ModelOps for AI: 5 Essential Approaches | Level Up Coding

ModelOps for Artificial Intelligence: 5 Simple Ways to Get ... How do we associate or compare ModelOps to AI (then there is also MLOps?

#30. What are ModelOps (model operations) analytics models?

ModelOps (model operations) is a holistic approach to building analytics models that can quickly progress from the lab to production.

#31. ModelOps: What you need to know to get certified - KDnuggets

ModelOps is crucial for predictive analytics and allows quality analytics models to move through development to deployment as quickly as ...

#32. Why AI ModelOps is important + How to implement it with...

Why is AI ModelOps important? Learn more about the critical values of ModelOps and the AI software for building your ModelOps.

#33. ModelOps - GitLab

ModelOps. Group ID: 14059225. Subgroups and projects; Shared projects; Archived projects. Name. Name. Created. Updated. Stars.

#34. What Is ModelOps? - RapidMiner

ModelOps (model operationalization) is a system for automating the development, deployment, testing, monitoring & continuous improvement of AI and ML models ...

#35. 《ModelOps技术应用及趋势白皮书》正式发布

“未来，随着机器学习等模型的普遍化应用，模型治理的重要性越发凸显，ModelOps 将成为数据智能系统开发运行过程的标配。”——北京九章云极科技有限公司董事 ...

#36. ClearScape Analytics ModelOps User Guide - Teradata Vantage

ClearScape Analytics ModelOps is a tool and methodology that extends the Vantage analytics platform with ModelOps capabilities.

#37. ModelOps, MLOps, and Finding Value in Analytics

ModelOps is an enterprise effort for improved decision-making. It includes the decision-makers understanding the model's output and how it fits ...

#38. ModelOps: What It Is, Why It Matters, How to Implement It

Model operationalization, or ModelOps, is the term given to the process of producing, managing, scaling, monitoring, and improving analytic models that include ...

#39. 只有一半AI 模型具有商業價值？ 讓ModelOps帶你踏上最後一哩 ...

此外，能提升模型開發效率及加快上線速度及確認AI預測的表現，上述強大的功能在談論的是近期科技界熱議話題「ModelOps 流程」。數據分析大廠SAS 台灣.

#40. MLOps vs. ModelOps: What's the Difference? - Analytics Vidhya

ModelOps concerns the governance and full life cycle management of all artificial intelligence and decision-making models. Thus, it includes ...

#41. Cloud-Based Lifecycle Management for Reliable and Trusted AI

ModelOps : Cloud-based Lifecycle Management. for Reliable and Trusted AI. Waldemar Hummer, Vinod Muthusamy, Thomas Rausch, Parijat Dube, Kaoutar El Maghraoui.

#42. Differences Between MLOps, ModelOps, AIOps, DataOps

ModelOps incorporates MLOps, which is the process of managing ML models throughout their lifecycle at an enterprise scale. ModelOps is ...

#43. Senior ModelOps Engineer (本項職位空缺只備英文版本) - 878

CLP has embarked on a journey to becoming a “Utility of the Future” which is customer-centric, agile and digitally-enabled. The company is launching ...

#44. Implement ModelOps To Operationalize AI - Forrester

Model operations (ModelOps) is a must-have capability to operationalize AI at scale. Often referred to as machine learning operations (MLOps), ModelOps ...

#45. State of ModelOps 2022 Report - Corinium Global Intelligence

The report highlights the current status of enterprise ModelOps functions & practices that lead to excellence when governing and scaling AI initiatives.

#46. ModelOps - DeepBrainz AI Cloud

Artificial intelligence (AI) model operationalization (ModelOps) is a set of capabilities that primarily focuses on the governance and the full life cycle ...

#47. ModelOps Market Size, Share and Global Market Forecast to ...

ModelOps solutions enables organizations to develop, deploy, and mange the AI and analytics models more effectively. It focuses on the life cycle management ...

#48. Definition of ModelOps - IT Glossary - Capterra

ModelOps, also known as model operations, is a process that manages artificial intelligence (AI). This process occurs over the lifetime of a particular ...

#49. ModelOps: A buzzword or a strategic approach for ... - Hyperight

ModelOps is an enterprise capability that facilitates enterprise operations and governance for models in production. The owners of the ModelOps ...

#50. MLOps, DevOps, and ModelOps: Which one to choose?

ModelOps is a methodology that focuses on managing machine learning models throughout their entire lifecycle, from development to deployment and ...

#51. MLOps vs. ModelOps: Understanding the Key Differences

ModelOps : Understanding the Key Differences. As data scientists and machine learning (ML) practitioners, we are all familiar with the importance ...

#52. 《ModelOps技术应用及趋势白皮书》正式发布 - 知乎专栏

未来，随着机器学习等模型的普遍化应用，模型治理的重要性越发凸显，ModelOps 将成为数据智能系统开发运行过程的标配。”——北京九章云极科技有限公司 ...

#53. ModelOps and MLOps: Do You Understand the ... - xpresso.ai

Machine learning models aren't the only ones that can be deployed into production, and ModelOps is a superset of MLOps. That is to say; it ...

#54. ModelOps在AI安全运营中的工程化实践 - 网安

ModelOps 解决的另一个主要问题是模型能力衰退的问题。由于AI 模型的泛化能力有限，AI 算法本质也是学习训练数据中所隐含的统计规律，而无论当用户的业务 ...

#55. ModelOps - Wiki | Golden

ModelOps is a set of capabilities focused on the governance and life cycle management of artificial intelligence and decision models.

#56. Agencies can accelerate AI deployments with ModelOps - GCN

ModelOps helps agencies get models from the lab through validation, testing and deployment phases as quickly as possible while ensuring ...

#57. Operationalize Machine Learning at Scale with ModelOps

ModelOps, a derivative of DataOps, frees teams from the daily frustrations of operationalizing ML and AI models and empowers them to deliver continuous ...

#58. ModelOps, ML Validation & ML Assurance: The Next ... - Cigniti

ModelOps, ML Validation & ML Assurance: The Next Frontiers of AI-led Digital Assurance. Cigniti Technologies. 9 months ago. Listen on the go!

#59. 5 modelops capabilities that boost data science productivity

Modelops platforms and practices aim to fill a gap by providing collaboration, orchestration, and reporting tools about what ML models are ...

#60. Teradata/modelops-demo-models - GitHub

This repository contains the example Diabetes Prediction model code for Vantage ModelOps. We provide a number of demo projects and associated repositories.

#61. Using Automated Builds in ModelOps - DataScienceCentral.com

In this installment of the ModelOps Blog Series, we will transition from what it takes to build AI models to the process of deploying into ...

#62. Evolution of ModelOps: Now a More Advanced Artificial ...

ModelOps is a set of automated practices and tools that help deploy, manage, monitor, and improve models in production.

#63. Scale and Govern AI Initiatives with ModelOps

ModelOps is the key capability for scaling and governing enterprise AI initiatives across the organization and ensuring that the maximum ...

#64. 向组织介绍modelops是什么及其好处_weixin_26728833的博客

通过将数据科学应用于组织内的决策，它有效地激活了分析的价值。 I have often heard ModelOps described as 'sophisticated model management'. However, ...

#65. Enterprise AI Maturity is Driving the Evolution of ModelOps

Meanwhile, those without mature ModelOps functions are struggling to get the most from their AI strategies. Global enterprises experienced a ...

#66. First Annual 'State of ModelOps' Report Finds 80 Percent of

CHICAGO, April 15, 2021 (GLOBE NEWSWIRE) -- ModelOp, the pioneer of ModelOps software for major enterprises, today announces release of the ...

#67. Understanding ModelOps | Managing Data Science

ModelOps helps us to create project delivery pipelines that work like a precise conveyor belt with automated testing procedures that try to catch coding errors.

#68. AutoAI：同步ModelOps 和DevOps，推动数字化转型 - 51CTO

我们确信AutoAI 可帮助数据科学领域的新手和专家简化模型开发，因此我想讨论一下AutoAI 如何提高模型和应用投资的收益，以及如何协调DevOps 和ModelOps。

#69. ModelOps for Dummies by Stu Bailey - Forbes Councils

In ModelOps for Dummies, Forbes Technology Council member Stu Bailey addresses executives' questions and concerns about the ROI of AI.

#70. 5 AI/ML Risks Mitigated by ModelOps - LearNow

ModelOps is a set of best practices and tools for managing the end-to-end lifecycle of AI models, from development to deployment and beyond. It ...

#71. Automated AI lifecycle management and ModelOps for your ...

Title: Automated AI lifecycle management and ModelOps for your cloud native app. Date: Tuesday, January 28, 2020. Time: 9:00 AM Pacific Standard Time.

#72. ModelOps in AI for Finance and Financial Engineering: 8 Best ...

As a financial engineer utilizing ModelOps, you can create or utilize advanced machine learning algorithms to increase the quality of modeling ...

#73. How ModelOps Helps You Execute Your AI Strategy

ModelOps is a holistic approach to making predictive analytics and machine learning workflows operational. Teams benefit from putting these workflows into ...

#74. Does ModelOps Represent A New Horizon For MLOps?

The main distinction between ModelOps and MLOps is that the MLOps technologies focus largely on machine learning models, whereas ModelOps tools ...

#75. Verta | Model Management & Operations for MLOps and ...

MLOps or ModelOps? We do both. manage-icon. Manage. Full-lifecycle model management from experiment tracking to production registry. deploy-icon. Deploy.

#76. Differences Between MLOps ModelOps AIOps DataOps

What is ModelOps? The methods and processes involved in designing, managing, deploying, and integrating Machine Learning models, as well as ...

#77. How ModelOps and MLOps can Facilitate your Innovative AI ...

The Rise of Enterprise ModelOps and MLOps. Why Should You Care? by TEAM INTERNATIONAL.

#78. A 'Breakout Year' for ModelOps, Forrester Says - Datanami

The answer, of course, is ModelOps (also known as MLOps), which Forrester defines as “tools, technology, and practices that enable cross- ...

#79. Operationalizing Analytics with DataOps and ModelOps

DataOps, ModelOps, and DecisionOps focus on practices intended to get the data ready, expedite model development from lab to production, ...

#80. SMARTS™ AI & ModelOps | Decisioning with Sparkling Logic

Simplify AI & ModelOps with SMARTS™ Data-Powered Decision Manager. Operationalize models and manage their lifecycle in one place.

#81. AI 大規模應用的關鍵：ModelOps 打造「生生流轉」模型生態系

摘要： 從影像辨識、語音辨識，到深度學習，各產業近年來都看好AI 人工智慧所帶來的龐大效益，但真正能從開發走到應用的企業卻不在多數，根據Gartner ...

#82. 《ModelOps技术应用及趋势白皮书》正式发布｜附完整下载

点击蓝字关注DataCanvas. “未来，随着机器学习等模型的普遍化应用，模型治理的重要性越发凸显，ModelOps 将成为数据智能系统开发运行过程的标配。

#83. Panel Discussion on ModelOps in Quant Finance - MathWorks

Hear from industry practitioners about the current state of ModelOps in quantitative finance.

#84. ModelOps: Establishing a Pipeline and Governance for AI at ...

Watch the full session here, on demand. Add bookmark. Tags: ModelOps Artifical Intelligence AI Governance Explainable AI · Elizabeth Mixson 07/ ...

#85. 用ModelOps扩展和管理AI计划 - 稀土掘金

照片：Carl HeyerdahlonUnsplash 什么是ModelOps？ 管理生产中的模型是一项挑战。为了优化人工智能的价值，人工智能模型必须提高业务应用的效率， ...

#86. Getting Started with ModelOps E-book - TDWI

This paper explores how ModelOps can help you break that cycle by redefining how you deploy models.

#87. 2021 Trends in Artificial Intelligence and Machine Learning

ModelOps is about more than simply operationalizing and governing AI models. It's about doing so quickly, at scale, with full accountability, ...

#88. ModelOps在AI安全运营中的工程化实践 - 启明星辰

而ModelOps所提供的模型建模能力和模型生命周期管理能力，正是解决此难题的关键。 ModelOps与AI安全运营结合- 实现AI安全分析模型开发完成即上线.

#89. ModelOps Archives - Selerity

These models are crucial for optimising analysis because they deliver clean, usable data to […] Continue reading . in ModelOps , SAS by Michael ...

#90. ModelOps: MLOps' next frontier - VentureBeat

Gartner describes ModelOps as focused on the governance and life cycle management of AI and decision models, while enabling the retuning, ...

#91. ModelOps: The key to implementing AI - The Softtek Blog

A major focus of ModelOps is to automate the implementation, monitoring and continuous improvement of data analytics models running within the ...

#92. ModelOps: Cloud-Based Lifecycle Management for ...

ModelOps : Cloud-Based Lifecycle Management for Reliable and Trusted AI. @article{Hummer2019ModelOpsCL, title={ModelOps: Cloud-Based ...

#93. ModelOps vs. MLOps to Address Last-mile Delivery Challenges

By incorporating ModelOps into your AI pipeline, you'll move past last-mile challenges with operationalizing AI and begin to see the return on ...

#94. 《ModelOps技术应用及趋势白皮书》正式发布

未来，随着机器学习等模型的普遍化应用，模型治理的重要性越发凸显，ModelOps 将成为数据智能系统开发运行过程的标配。”——北京九章云极科技有限公司 ...

#95. TechOrange 科技報橘- ModelOps 和DevOps 的理念雖然相似

ModelOps 和DevOps 的理念雖然相似，但卻是不同的東西？

#96. ModelOps - CIO Wiki

ModelOps is a holistic approach for rapidly and iteratively moving models through the analytics life cycle so they are deployed faster and ...

#97. ModelOps: The Key to Managing AI Models at Scale

ModelOps shares many similarities with DevOps, a set of practices which integrate software development and IT operations to help shorten ...

#98. modelops - PyPI

modelops 0.0.1. pip install modelops. Copy PIP instructions. Latest version. Released: Nov 26, 2018. Framework for AI Model and Application ...