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. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. So as my tiny gift for you here are five experimentation and testing ideas for you. You can of course test different pretty images, why not try to reinvent your business model using testing? Rather than create prediction models (with faulty assumptions!)

Testing 113

Testing Experimentation Risk Optimization 113

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

CIO Business Intelligence

DECEMBER 19, 2024

Government agencies and nonprofits are looking for data scientists and engineers to help with climate modeling and environmental impact analysis. Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

SEPTEMBER 10, 2024

We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. This included predicting political outcomes, such as potential votes on pipeline extensions, as well as operational issues like predicting the failure of downhole submersible pumps, which can be costly to repair.

IT 122

IT Risk Risk Management Predictive Modeling 122

Data Science and Beyond

SEPTEMBER 19, 2016

Some people equate predictive modelling with data science, thinking that mastering various machine learning techniques is the key that unlocks the mysteries of the field. However, there is much more to data science than the What and How of predictive modelling. Causality and experimentation.

Data Science 66

Data Science Predictive Modeling Experimentation Deep Learning 66

Smarten

DECEMBER 15, 2017

One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

DataKitchen

JANUARY 17, 2022

The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Despite the complexity, mission-critical analytics must be delivered error-free under intense deadline pressure. Requirements continually change.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots.

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Writing data from Domino into Snowflake.

Data Science 103

Data Science Recreation/Entertainment Data Warehouse Publishing 103

Data Science and Beyond

JULY 22, 2018

Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. It is now much easier to deploy machine learning models, even without a deep understanding of how they work.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

O'Reilly on Data

SEPTEMBER 11, 2019

2 in frequency in proposal topics; a related term, “models,” is No. An ML-related topic, “models,” was No. For example, even though ML and ML-related concepts —a related term, “ML models,” (No. But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering.

IoT 24

IoT Big Data Data Warehouse Uncertainty 24

DataRobot Blog

JULY 28, 2022

Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Sensor Data Analysis Examples.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. CFM data scientists then look up the data and build features that can be used in our trading models.

Interactive 91

Interactive Strategy Cost-Benefit Data Governance 91

DataRobot

JANUARY 13, 2022

To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups. It’s easy to deploy, monitor, and manage models in production and react to changing conditions.

ROI 52

ROI Machine Learning Experimentation Data Science 52

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Data-driven Experimentation Risk 52

Smarten

NOVEMBER 3, 2017

Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. To do so, the company started by defining the goals, and finding a way to translate employees’ behavior and experience into data, so as to model against actual outcomes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataRobot

JANUARY 20, 2022

. — Collaborating via Snowflake Data Cloud and DataRobot AI Cloud Platform will enable multiple organizations to build a community movement where experimentation, innovation, and creativity flourish. As ICSs mature digitally, there is a need to ensure that all processes, datasets, and models are transparent and are free from bias. –

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Smarten

JULY 3, 2017

Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation.

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40

CIO Business Intelligence

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140