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

Analytics Vidhya

DECEMBER 12, 2020

Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Modeling Software Management 400

Analytics Vidhya

MAY 6, 2023

Introduction Large Language Models (LLMs) are now widely used in a variety of applications, like machine translation, chat bots, text summarization , sentiment analysis , making advancements in the field of natural language processing (NLP).

Modeling 296

Modeling Management Analytics IT 296

KDnuggets

JULY 4, 2022

The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.

Machine Learning 110

Machine Learning Modeling Management 110

Analytics Vidhya

JULY 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.

Machine Learning 371

Machine Learning Modeling Data Science Publishing 371

KDnuggets

MAY 8, 2023

MLOps for model drift management: Learn about ensuring the accuracy and performance of machine learning models in production.

Modeling 102

Modeling Management Machine Learning 102

O'Reilly on Data

JUNE 27, 2023

Doing so means giving the general public a freeform text box for interacting with your AI model. Welcome to your company’s new AI risk management nightmare. ” ) With a chatbot, the web form passes an end-user’s freeform text input—a “prompt,” or a request to act—to a generative AI model.

Risk Management 226

Risk Management Risk Management Modeling 226

Analytics Vidhya

JULY 9, 2022

Introduction Companies struggle to manage and report all their data. The post Basics of Data Modeling and Warehousing for Data Engineers appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. The data repository should […].

Modeling 339

Modeling Data Science Publishing Reporting 339

CIO Business Intelligence

APRIL 2, 2024

Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures. This dip delays when the business can start realizing the value delivered.

Management 140

Management Digital Transformation Testing Experimentation 140

Analytics Vidhya

FEBRUARY 4, 2023

Introduction As a data scientist, you have the power to revolutionize the real estate industry by developing models that can accurately predict house prices. This blog post will teach you how to build a real estate price prediction model from start to finish. appeared first on Analytics Vidhya.

Predictive Modeling 296

Predictive Modeling Modeling Data Collection Analytics 296

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies.

Management 81

Management Internet of Things Risk IoT 81

Analytics Vidhya

JANUARY 31, 2023

Introduction Kubeflow is an open-source platform that makes it easy to deploy and manage machine learning (ML) workflows on Kubernetes, a popular open-source system for automating containerized applications’ deployment, scaling, and management.

Management 306

Management Machine Learning Analytics IT 306

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

JANUARY 27, 2022

The real estate business manages large amounts of data and information. The post Using Sequential Model to predict prices of Real Estate appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Real estate and property prices are affected by a lot of […].

Modeling 257

Modeling Data Science Publishing Management 257

Dataiku

AUGUST 25, 2023

In today's rapidly evolving business landscape, harnessing the power of machine learning (ML) models has become a critical factor in gaining a competitive edge. However, merely deploying models isn't enough; ensuring their continued relevance and impact demands a comprehensive approach to monitoring and management.

Modeling 52

Modeling Management Machine Learning IT 52

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 76

Risk Modeling Management Metadata 76

CIO Business Intelligence

FEBRUARY 13, 2024

Oracle is adding new capabilities to its Supply Chain and Manufacturing (SCM) Fusion Cloud to help enterprises manage their logistics. The combination of the data along with machine learning models will aid enterprises in making faster decisions around global logistics, the company said in a statement. billion in 2021.

Management 122

Management Forecasting Machine Learning Business Intelligence 122

Domino Data Lab

JULY 14, 2022

The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done. Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators.

Insurance 98

Insurance Modeling Management Risk Management 98

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “For the Masters we use 290 traditional AI models to project where golf balls will land,” says Baughman. ” Watsonx.ai ” Watsonx.ai

Management 86

Management IT Machine Learning Metrics 86

CIO Business Intelligence

MARCH 6, 2024

Despite growing interest in “as a service” consumption models for everything from infrastructure to storage, most enterprises have continued to procure, maintain, and manage endpoint devices in-house. In its place, managed solutions are gaining traction. In its place, managed solutions are gaining traction.

Management 98

Management Manufacturing Modeling Enterprise 98

KDnuggets

MARCH 23, 2022

How sound risk management acts as a catalyst to building successful AI/ML models.

Risk Management 108

Risk Management Risk Modeling Management 108

Dataiku

SEPTEMBER 20, 2021

According to the O’Reilly book “Machine Learning Logistics” by Ted Dunning and Ellen Friedman, “90% of the effort in successful machine learning is not about the algorithm or the model or the learning. It’s about logistics.”

Machine Learning 131

Machine Learning Modeling Management IT 131

IBM Big Data Hub

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. Let’s look at some of those challenges to generative AI for asset performance management. Undoubtedly. But what if you could optimize even further?

Management 90

Management Structured Data Modeling Data Governance 90

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

FEBRUARY 5, 2024

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

Optimization 99

Optimization Management Key Performance Indicator Modeling 99

Cloudera

NOVEMBER 29, 2023

That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. That’s where the Model Registry steps in. That’s where the Model Registry steps in.

Modeling 83

Modeling Machine Learning Metadata Metrics 83

TDAN

APRIL 17, 2024

In my work with the EDM Council’s Data Management Capability Assessment Model (DCAM) 3.0 development group, we are adding a capability that has remained under the radar in our industry: the responsibility of the Data Management Program to determine concept and knowledge gaps within its staff resources.

Management 52

Management Modeling IT Data Governance 52

IBM Big Data Hub

APRIL 8, 2024

In a world where every company is now a technology company, all enterprises must become well-versed in managing their digital products to remain competitive. In other words, they need a robust digital product lifecycle management (PLM) strategy. The new company’s data model is completely different from the original company.

Data-driven 60

Data-driven Management Data Governance Strategy 60

Analytics Vidhya

FEBRUARY 22, 2023

Introduction Suppose you are appearing in an interview for the manager or senior role.

Management 305

Management Optimization Analytics IT 305

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 139

Modeling Enterprise Marketing Sales 139