Decision Management Solutions

SEPTEMBER 29, 2020

Companies want to find a technology they can buy that will somehow solve these problems – to conclude that something is wrong or missing with their ML technology and that buying ModelOps or investing in their data infrastructure will solve these problems.

Machine Learning 94

Machine Learning Predictive Analytics Modeling Consulting 94

CIO Business Intelligence

APRIL 25, 2022

An Omdia report notes, “Successful enterprise ML at scale demands the careful orchestration of a complex tapestry made up of people, processes, and platforms, an effort that does not end when an ML solution goes live but instead continues for the life of the solution.” . A partial solution lies in the adoption of MLOps.

Machine Learning 131

Machine Learning Enterprise Deep Learning Cost-Benefit 131

DataKitchen

MARCH 16, 2023

Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. Forty-five metrics!

Metrics 130

Metrics Data Analytics Analytics Measurement 130

CIO Business Intelligence

MARCH 1, 2023

Without the ability to process data in real-time, their solution would not be possible. 1] Gartner, “A Mandate for MLOps, ModelOps and DeOps Coordination,” Van Baker, Nov. Uniphore has an AI assistant that does sentiment analysis on sales calls. It helps sellers build better customer relationships and loyalty.

Cost-Benefit 95

Cost-Benefit Machine Learning Software Strategy 95

DataKitchen

NOVEMBER 29, 2021

Since then, people have been creating new Ops terms at a pretty rapid pace : AIOps, MLOps, ModelOps, PlatformOps and many more. . Lean is about self-reflection and seeking smarter, less wasteful dynamic solutions together. We group all of these methodologies underneath “Lean Manufacturing.”

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Domino Data Lab

AUGUST 6, 2021

Doing the practical aspects of implementation and ongoing monitoring of risk requires the use of a software solution called Enterprise Machine Learning Operations (MLOps). Think of MLOps as being akin to ITOps, DataOps , ModelOps , or DevOps. Using a framework helps an organization to prepare for Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Try a little DataOps or ModelOps and see if a small, skunks-like project fan turn some folks on. What are the new trends around the Data solution architecture (centralized vs de-centralized?). Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

MAY 9, 2023

Today we have one of the most comprehensive portfolios of enterprise AI solutions available. Developers can build workflows directly in our ModelOps environment using APIs, SDKs, and libraries, managing machine learning models from development to deployment. Depending on the task, watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109