Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. By providing a unified platform, it simplifies the complex task of model management across the entire life cycle of your machine learning projects. Lineage Tracking : It’s essential to maintain traceability in MLOps.

Modeling 83

Modeling Machine Learning Metadata Metrics 83

KDnuggets

DECEMBER 6, 2023

This week on KDnuggets: Discover GitHub repositories from machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job • Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company • And much, (..)

Machine Learning 91

Machine Learning Data-driven Management 91

CIO Business Intelligence

AUGUST 4, 2022

MLOps to the rescue. The better approach is to have IT work with the data science groups on bridging the gap through processes and tools such as MLOps. MLOps platforms can orchestrate the collection of artifacts, compute infrastructure and processes that are needed to deploy and maintain AI-based models.

Deep Learning 143

Deep Learning Data Science Enterprise Modeling 143

O'Reilly on Data

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. What’s the next platform on the horizon? Here are some of the most significant themes we see as we look toward 2021. ML presents a problem for CI/CD for several reasons. Both are seeing strong growth.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

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.” . The promise of MLOps. Infrastructure designed for MLOps.

Machine Learning 133

Machine Learning Enterprise Deep Learning Cost-Benefit 133

DataRobot Blog

DECEMBER 6, 2022

Learn how to leverage Google BigQuery large datasets for large scale Time Series forecasting models in the DataRobot AI platform. To help improve trust in AI, the DataRobot AI platform includes explainability features that show the why and the how of decisions made about experiments and models at different granular levels.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Dataiku

DECEMBER 13, 2023

It's no secret that MLOps isn’t a one-size-fits-all solution. With organizations varying in size and structure, the complexity of how they manage and monitor machine learning (ML) models can also vary — with some organizations opting for a multi-system, multi-platform approach.

Machine Learning 59

Machine Learning Strategy Modeling Management 59

Domino Data Lab

AUGUST 6, 2021

Fortunately, if you are using an enterprise MLOps platform, this is all done automatically, including specific tools that were used to develop a model and the people who did the work. Domino’s Enterprise MLOps Platform does this automatically and will alert a team leader when a model fails to meet, or exceeds, pre-set parameters.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

DataRobot

JULY 27, 2021

Our platform allows data science teams to do what previously would have taken days or weeks in mere minutes or hours, giving large enterprises the ability to make faster and more accurate decisions based on real-time data. DataRobot MLOps Augmented with Algorithmia’s GPU Acceleration. We couldn’t agree more.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

Domino Data Lab

FEBRUARY 4, 2021

Container orchestration has the following benefits in data science work: Remove central IT bottlenecks in the MLOps life cycle. Getting models into production is a critical stage in the MLOps life cycle. In order to answer this question, I’ll lean on an example from the Domino Data Science Platform.

Modeling 130

Modeling Data Science Data Processing Software 130

DataRobot

NOVEMBER 16, 2021

In the final installment of this blog series examine how Machine Learning Operations ( MLOps ) allows governments to easily deploy, monitor, and update models in production, paving the way to AI with measurable results. . What is MLOps? Four Reasons Why State and Local Governments Need MLOps to Drive AI Results.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

Domino Data Lab

JULY 19, 2021

The Enterprise MLOps Process Overview. 7 Key Roles in MLOps. Often seen as the central player in any MLOps team, the Data Scientist is responsible for analyzing and processing data. The ML Architect develops the strategies, blueprints and processes for MLOps to be used, while identifying any risks inherent in the life cycle.

Enterprise 85

Enterprise Data Science Testing Modeling 85

Domino Data Lab

AUGUST 6, 2021

Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. Implementing a Model Risk Management Framework with Enterprise MLOps. Think of MLOps as being akin to ITOps, DataOps , ModelOps , or DevOps.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

DataRobot

JUNE 29, 2021

Those who watched the vision presentation at the recent AI Experience 2021 event might have noticed that we quietly announced a new MLOps feature called Continuous AI. It’s possibly the most innovative capability we have added to the DataRobot AI platform in some time. Continuous AI = AutoML + MLOps. It asks The Robot.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

DataRobot

JUNE 16, 2021

Our DataRobot MLOps product has focused on resolving many of the issues with bringing models into production. Equally as diverse are the tools, languages, and platforms that these teams have selected to solve their unique data-science problems. New in DataRobot MLOps Release 7.1: The MLOps Management Agent.

Management 52

Management Modeling Statistics Data Science 52

DataRobot

JULY 27, 2021

Additionally, we’re announcing our acquisition of Algorithmia , a leader in MLOps. . Every day, I’m more and more inspired by what our customers are accomplishing using DataRobot’s Augmented Intelligence platform. billion models on our cloud platform. An Unprecedented Market Opportunity. I stand by that notion wholeheartedly.

Machine Learning 98

Machine Learning Experimentation Modeling Forecasting 98

DataRobot Blog

JULY 27, 2022

We combined the resources and expertise of DataRobot MLOps and Algorithmia to achieve the best results. DataRobot AI Cloud platform has an absolutely fantastic training pipeline with AutoML and also has a rock-solid inference system. The Demo: Autoscaling with MLOps. Operationalize ML Faster with MLOps Automation.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

CIO Business Intelligence

NOVEMBER 7, 2022

Do they have the machine learning platforms (such as NVIDIA AI Enterprise) ,infrastructure access, and ongoing training time to improve their data science practices? Establish MLOps, ModelOps, and infrastructure-monitoring capabilities. Are they working on problems that can yield meaningful business outcomes?

Machine Learning 126

Machine Learning Data Science Experimentation IoT 126

CIO Business Intelligence

APRIL 12, 2024

With information about products and availability constantly changing, Tractor Supply sees Hey GURA as a “knowledge base and a training platform,” says Rob Mills, chief technology, digital commerce, and strategy officer at Tractor Supply.

Experimentation 111

Experimentation Sales Digital Transformation Metrics 111

Dataiku

AUGUST 26, 2021

Doing this comes with a lot of challenges and Dataiku's end-to-end AI platform already has many out-of-the-box features to implement best MLOps practices. From the beginning, this has always meant having a clear focus on production — and not just design — in order to enable our customers to easily deploy models in the real world.

IT 59

IT Modeling 59

DataRobot

AUGUST 9, 2021

DataRobot MLOps solution is ideal in this journey of fairness and trustworthy AI. MLOps governance is a comprehensive AI audit solution for machine learning testing and governance. MLOps helps to mitigate many of the technical risks and tackles AI adoption barriers with unparalleled scalability and transparency. Request a Demo.

Machine Learning 52

Machine Learning Risk Testing Insurance 52

DataRobot Blog

JULY 13, 2022

In a relatively short amount of time, DataRobot pioneered AutoML , extending the power of AI to millions of new users and accelerating the path to production, introduced the industry’s first Time Series capabilities, and delivered a true end-to-end platform across the entire AI lifecycle.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

DataRobot Blog

JUNE 16, 2022

To lay a strong foundation for machine learning operations (MLOps) in your organization, it is critical that you establish a repeatable, reproducible, maintainable, and reliable ML workflow for training and deploying models and scoring predictions. Multipersona Data Science and Machine Learning (DSML) Platforms. References. *

Machine Learning 59

Machine Learning Modeling Testing Publishing 59

IBM Big Data Hub

NOVEMBER 15, 2023

The watsonx platform, along with other IBM AI applications, libraries and APIs help partners more quickly bring AI-powered commercial software to market , reducing the need for specialized talent and developer resources. Ubotica is leveraging IBM Cloud and watsonx.ai

Sales 93

Sales Software Modeling Enterprise 93

DataRobot Blog

MARCH 8, 2023

Enterprises can extend AI capabilities to meet their specific needs, using SAP Business Technology Platform. Creating Impact with AI Thursday, March 16, 2023 Register Now The post DataRobot and SAP Partner to Deliver Custom AI Solutions for the Enterprise appeared first on DataRobot AI Platform.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

DataRobot Blog

FEBRUARY 14, 2022

In this post, we’ll walk you through DataRobot’s Explainable AI features in both our AutoML and MLOps products and use them to evaluate a model both pre- and post-deployment. I’ve uploaded this dataset to DataRobot and built some models using our AutoML platform. MLOps Explainability . MLDev Explainability. Data Drift.

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

CIO Business Intelligence

MAY 28, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 124

IT Prescriptive Analytics Deep Learning Reporting 124

DataRobot

SEPTEMBER 17, 2021

The machine learning models that inform your decisions are tracked within DataRobot MLOps so that you can see how input data changes over time. Decision Intelligence Flows are a new addition to DataRobot’s MLOps platform in release 7.2. Want to Learn More?

Forecasting 52

Forecasting Predictive Modeling Machine Learning Cost-Benefit 52

DataRobot

MARCH 8, 2021

Learn how DataRobot’s end-to-end platform has unlocked unimaginable growth for businesses worldwide.There will also be breakout sessions geared to data science, analytics, IT, architecture, or infrastructure. You will learn how to produce more predictable forecasts and generate actionable insights.

Deep Learning 52

Deep Learning Forecasting Data-driven Visualization 52

Domino Data Lab

SEPTEMBER 20, 2022

Domino Data Lab’s Enterprise MLOps platform integrates across NVIDIA’s product line of infrastructure like NVIDIA DGX systems , NVIDIA-Certified Systems from leading OEMs, and the NVIDIA AI Enterprise software suite.

Data Science 52

Data Science Strategy Enterprise Software 52

CIO Business Intelligence

OCTOBER 4, 2023

The most volatile market segments for non-certified skills were data and databases (with 56% of skills changing in value); operating systems (53%); and application development tools and platforms (39%).

Prescriptive Analytics 134

Prescriptive Analytics IT Machine Learning Risk 134

DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. Today, his team is using open-source packages without a standardized AI platform. Explore the DataRobot platform today! See DataRobot AI Cloud in Action. Request a Demo.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

CIO Business Intelligence

AUGUST 7, 2023

The goal of this team, including data engineers, MLOps engineers, and risk and legal experts, is to collaborate on building gen AI for the first few use cases. The principle is to manage and deploy gen AI as a foundational platform service that is ready for use by product and application teams.

Modeling 98

Modeling Sales Cost-Benefit Data Processing 98

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

MAY 28, 2022

At the conference, Informatica launched two new industry-focused IDMCs for financial services and healthcare firms, as well as new data engineering and MLOps tools. Informatica eyes data management dominance. Informatica has been slowly executing its plan to go beyond the ETL (extract, transform and load) tools it has been known for.

Management 104

Management Data Warehouse Software Strategy 104

CIO Business Intelligence

MAY 27, 2022

At the conference, Informatica launched two new industry-focused IDMCs for financial services and healthcare firms, as well as new data engineering and MLOps tools. Informatica eyes data management dominance. Informatica has been slowly executing its plan to go beyond the ETL (extract, transform and load) tools it has been known for.

Management 103

Management Data Warehouse Software Strategy 103

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. Watch a free demo to see how our platform works or trial it yourself.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110