DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo.

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Big Data Experimentation Data-driven Machine Learning 52

CIO Business Intelligence

NOVEMBER 21, 2023

CIOs need a way to capture lightweight business cases or forecast business value to help prioritize new opportunities. The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.

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IT Risk Cost-Benefit Risk Management 135

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Cloudera’s Shared Data Experience (SDX) provides complete security and governance for models and the underlying data.

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Machine Learning Forecasting Manufacturing Predictive Analytics 98

DataRobot Blog

OCTOBER 18, 2022

The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail. DataRobot Fireside Chat at Big Data & AI Toronto 2022. Request a Demo.

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Big Data Forecasting Experimentation Metrics 96

AWS Big Data

JUNE 20, 2023

Feature engineering is a process of identifying and transforming raw data (images, text files, videos, and so on), backfilling missing data, and adding one or more meaningful data elements to provide context so a machine learning (ML) model can learn from it.

Data Lake 70

Data Lake Data Science Recreation/Entertainment Experimentation 70

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

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Data Science Experimentation Data-driven Machine Learning 66

bridgei2i

APRIL 28, 2020

One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Everybody’s very concerned about forecasting. Most companies will forecast their business based on trends. So, how do companies handle this kind of crisis? And that’s called trend analysis.

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Enterprise Data Analytics Analytics Forecasting 103

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.

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Machine Learning Technology Digital Transformation Data Science 40

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Although these difficulties are more pronounced when we deal with observational data, the proliferation of hypotheses and lack of intentionality in data collection can even impact designed experiments. Be sure to have a deep, thorough understanding of how data under consideration was collected and what it actually means.

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Experimentation Testing Statistics Metrics 61

CIO Business Intelligence

MARCH 7, 2023

While digital initiatives and talent are the board directors’ top strategic business priorities in 2023-2024, IT spending is forecasted to grow by only 2.4% Then, often reporting to risk, compliance, or security organizations, are separate data governance teams focused on data security, privacy, and quality.

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Digital Transformation Data Governance Experimentation Machine Learning 145

DataRobot

DECEMBER 16, 2021

Take advantage of DataRobot’s wide range of options for experimentation. Use DataRobot’s AutoML and AutoTS to tackle various data science problems such as classification, forecasting, and regression. Not sure where to start with your massive trove of text data? More Value with Less Efforts.

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Experimentation Unstructured Data Deep Learning Modeling 98

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Long Short-Term Memory Units.

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Deep Learning Modeling Metrics Testing 111

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Action to take.

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Data-driven Experimentation Modeling Predictive Modeling 145

DataRobot

APRIL 29, 2021

This year’s theme of The Hunt for Transformational Growth is designed to help organizations unleash the power of enterprise AI to improve forecasts, generate actionable insights, and unlock exponential growth for businesses worldwide. This list includes: Rachik Laouar is Head of Data Science for the Adecco Group.

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Machine Learning Experimentation Data-driven Data Science 59