CIO Business Intelligence

MAY 28, 2022

The partnerships, announced this week at the annual Informatica World conference, boost the capabilities of the company’s Intelligent Data Management Cloud (IDMC) and are in sync with the company’s recent data management product releases and previous partnerships with cloud software and service providers including AWS, Databricks and Snowflake.

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Management Data Warehouse Software Strategy 106

CIO Business Intelligence

MAY 27, 2022

The partnerships, announced this week at the annual Informatica World conference, boost the capabilities of the company’s Intelligent Data Management Cloud (IDMC) and are in sync with the company’s recent data management product releases and previous partnerships with cloud software and service providers including AWS, Databricks and Snowflake.

Management 106

Management Data Warehouse Software Strategy 106

DataRobot Blog

MARCH 17, 2022

release, I’m very pleased to announce that our unique MLOps capability — Continuous AI —is now available to all on-prem customers. Now, all of our MLOps customers have access to the best of both automated machine learning and machine learning operations, with a human in the loop to continually improve models over the full AI/ML lifecycle.

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Forecasting Machine Learning Data-driven Uncertainty 52

DataRobot Blog

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Leveraging Snowflake and DataRobot for Speed and Scale.

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Manufacturing IoT Machine Learning Forecasting 52

DataRobot Blog

MAY 5, 2022

DataRobot’s already market-leading AutoML, AutoTS, and MLOps products will only be able to drive more value after fully unlocking the power of data-agnostic AI. DataRobot + Labelbox + Snowflake Model-Assisted Labeling Solution. Jared Bowns. VP of Engineering at DataRobot. Today, managing unstructured data is an arduous task.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DataOps.Live — DataOps for Snowflake. ModelOps/MLOps. CD Foundation SIG on MLOps . Continuous Deployment.

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Testing Machine Learning Consulting Data Quality 307

Domino Data Lab

JUNE 15, 2021

This is the core functionality of the Domino’s Enterprise MLOps platform – a system that enables fast, reproducible, and collaborative work on data products like models, dashboards, and data pipelines. Why Snowflake UDFs. Snowflake stored procedures use JavaScript and, in most cases, SQL. anomaly detection).

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Modeling Data Science Data-driven Data Warehouse 69

DataRobot Blog

JUNE 9, 2022

Snowflake Summit 2022 (June 13-16) draws ever closer, and I believe it’s going to be a great event. Users can now run scoring code directly inside Snowflake. This value-add feature is now available on models run within Snowflake. Another real treat for attendees will be the conversation with elite rock climber Alex Honnold.

Modeling 52

Modeling Data Collection Strategy IT 52

O'Reilly on Data

OCTOBER 19, 2021

The new category is often called MLOps. Just introducing a new term like MLOps doesn’t solve anything by itself, rather, it just adds to the confusion. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too.

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Domino Data Lab

JULY 15, 2021

Domino’s Enterprise MLOps platform was designed with this diversity in mind so that as your projects and data science tool ecosystem evolves, the options available to your team won’t be limited to a single approach. Snowflake ). Data Science Tools: Integration in a Enterprise MLOps Platform. The Domino Enterprise MLOps Platform.

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DataRobot Blog

SEPTEMBER 6, 2022

Transparency Is Key In MLOps. As mentioned by Gartner analyst Sumit Agarwal in his session, Developing Your MLOps Playbook to Accelerate Machine Learning Deployment , “one person cannot do everything.”. Gartner, Technical Insights: Develop Your MLOps Playbook to Accelerate Machine Learning Deployment, Sumit Agarwal.

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Data Analytics Analytics Machine Learning Metrics 52

DataRobot Blog

MARCH 16, 2023

Value at Production Scale – DataRobot’s ML Production is more than just basic MLOps tooling and now new features are making it even easier and faster to scale and maintain model performance. New Snowflake integrations and the SAP joint solution have tightened the data to experimentation to deployment loop.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

Cloudera

OCTOBER 26, 2022

This AMP can also be repurposed to help you find the most unique snowflake. Companies also rely on AMPs like continuous model monitoring to improve their MLOps capabilities. The project launches an interactive visualization for exploring the quality of representations extracted using multiple model architectures.

Machine Learning 78

Machine Learning Deep Learning Cost-Benefit Forecasting 78

DataRobot

APRIL 12, 2021

When possible Feature Discovery operations are pushed into the database to minimize data movement and get faster results (read more on snowflake integration). DataRobot Feature Discovery integrates seamlessly with DataRobot deployment/MLOps capabilities. These MLOps capabilities include model monitoring, management, and governance.

Modeling 52

Modeling Testing Data-driven Marketing 52

DataRobot

SEPTEMBER 14, 2021

And finally, AI Cloud significantly expands the concept of MLOps , bringing AI together with proven practices for software engineering and operations to protect and secure your data and your business. And will serve as a foundation for the vast ecosystem of partners that extend, integrate and build upon DataRobot.

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Machine Learning Marketing Modeling Interactive 52

DataRobot Blog

DECEMBER 15, 2022

Import the data from various options: from a local file or URL or create a data connection with diverse data sources, such as Snowflake or Amazon Redshift, and upload it to the AI Catalog, which helps manage datasets, versioning, and shared capabilities with other users. The machine learning life cycle always starts with the dataset.

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Forecasting Modeling ROI Machine Learning 81

DataRobot

SEPTEMBER 14, 2021

To support the need to connect AI-driven decisions directly with existing business applications and services, like Snowflake, Salesforce, and ServiceNow. To offer the flexibility to deploy AI solutions anywhere. Most critically, to unify the ability to do it all in a single environment.

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Unstructured Data Data-driven Data Processing Modeling 52