Domino Data Lab

JUNE 10, 2020

We’re introducing groundbreaking new features – including On-demand Spark clusters, enhanced project management, and the ability to export models – that give enterprises unprecedented power to scale their data science capabilities by addressing common struggles. I’m also proud to announce an exciting new product: Domino Model Monitor (DMM).

Data Science 82

Data Science Enterprise Experimentation Modeling 82

CIO Business Intelligence

APRIL 26, 2023

“Startup” means risk. But despite the high risk/reward framework, these Victory-or-Bust ventures don’t have the market cornered on agility and innovation. More than an experimental group, they hold themselves accountable the same way any startup should. Why not both? The alternative is shuttering for good.

Technology 52

Technology Marketing Experimentation Modeling 52

DataRobot Blog

JANUARY 10, 2023

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. A host of open-source libraries. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Ontotext

NOVEMBER 2, 2023

However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight. And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion.

IT 69

IT Cost-Benefit Data-driven Technology 69

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Removal of experimental Smart Sensors. should also help you align with security standards by mitigating the risk of older versions of Python such as 3.7, The following diagram illustrates the solution architecture.

Testing 100

Testing Experimentation Management Metadata 100

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. Introduction. BTW, videos for Rev2 are up: [link]. That’s impressive.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

JUNE 6, 2023

And the market for doing so remains robust for corporations looking to make the most of the model. CIOs should have plans for the upsides and also develop risk mitigation strategies. For example, startups are likelier to have advanced devops practices that enable continuous deployments and feature experimentation.

Key Performance Indicator 105

Key Performance Indicator Cost-Benefit Enterprise Experimentation 105

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Occam's Razor

JUNE 4, 2018

Not easy, but your business model has to change to survive.). Not wanting to risk it, I click on the Find in Store link you see at the bottom of the page. Social cues (/proof) can help create a sense of urgency for a whole host of companies. I get a interstitial that shows me availability of the sandal by geographic location….

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. This duplication can become such a management nightmare that they may prefer to return to the original model and simply live with noisy neighbors. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Cloudera

MAY 31, 2023

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. Samsung may have an opinion on this after their experience.

Enterprise 74

Enterprise Data Processing Experimentation Modeling 74