DataRobot Blog

AUGUST 18, 2022

The benefits of AI in supply chain provides data-driven insights that help supply chain and logistics organizations solve their hardest problems, drive success, and deliver real ROI. Collaboration across data science, business, and IT teams throughout the AI lifecycle also greatly impacts AI success. Francois Fressin.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

IBM Big Data Hub

APRIL 18, 2024

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. The AGI analyzes the data and identifies a rare genetic mutation linked to a specific disease.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Smarten

AUGUST 21, 2019

Smart Data Visualization – Smart Data Visualization gives users a helping hand with suggestions and recommendations for the best possible visualization of underlying data to generate meaningful insights from data.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

CIO Business Intelligence

MAY 28, 2022

Among the issues that led to an overfull pipeline included department heads pushing for pet projects that may not have strategic benefits for enterprise at large, the classification of too many big projects with iffy ROI as urgent, and what Das calls “big, shiny ideas,” like crypto projects that have not been properly vetted.

IT 136

IT ROI Cost-Benefit Technology 136

Smarten

JULY 1, 2022

Adding augmented analytics to the functionality and features provides support for new business goals so management, IT and analysts can enable business users with analytics and add value to clients and to the organization without requiring business users to take data science training or to have advanced technology skills.

Analytics 52

Analytics Cost-Benefit Reporting KPI 52

Alation

FEBRUARY 20, 2020

In perhaps a preview of things to come next year, we decided to test how a Data Catalog might work with Tableau on the same data. You can check out a self service data prep flow from catalog to viz in this recorded version here. Rita Sallam Introduces the Data Prep Rodeo. To Coming Home, Home on the Range.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

CIO Business Intelligence

MAY 25, 2022

Among the issues that led to an overfull pipeline included department heads pushing for pet projects that may not have strategic benefits for enterprise at large, the classification of too many big projects with iffy ROI as urgent, and what Das calls “big, shiny ideas,” like crypto projects that have not been properly vetted.

IT 115

IT ROI Cost-Benefit Technology 115

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. by Dimitri Maex and Paul B.

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Big Data Statistics Experimentation Data Strategy 98

CIO Business Intelligence

MAY 27, 2024

This case illustrates how specialized training can prevent costly breaches and protect sensitive data. The ROI of Cybersecurity Training Investing in cybersecurity training is not just a defensive measure; it’s a strategic investment that can yield significant returns. million compared to those with lower levels.

Cost-Benefit 107

Cost-Benefit Statistics ROI Measurement 107

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle.

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Forecasting Data Science Statistics Uncertainty 113

Cloudera

JULY 9, 2018

Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. That friction is what defines the new data science iron triangle.

Machine Learning 42

Machine Learning Data Science Testing Visualization 42

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. I held out 20% of this as a test set and used the remainder for training and validation.

Risk 67

Risk ROI Modeling Metrics 67

DataRobot Blog

DECEMBER 15, 2022

By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—and maximize ROI. Now it’s time to put our model into production and get some predictions—and unlock real value and ROI.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. back to the structure of the dataset. Let’s look through some antidotes. How fast can the model be trained?

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

OCTOBER 14, 2020

Your Chance: Want to test interactive dashboard software for free? An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions.

Dashboards 235

Dashboards Interactive Reporting KPI 235

DataRobot Blog

MARCH 23, 2023

Use a cost-benefit analysis to explore ROI and risk. This full suite of ML lifecycle capabilities delivers model testing, deployment and serving, performance monitoring and granular model-level insights, approval workflows, and a higher level of confidence for decisions informed by models.

Machine Learning 52

Machine Learning Cost-Benefit Modeling Testing 52

DataRobot Blog

APRIL 4, 2022

When this contribution is put against the marketing spend in the particular channel, it produces a reading on the highly coveted return on investment (ROI). ROI gives a standard interpretation of whether a marketing activity was profitable and to compare efficiency across media channels or campaigns. When can you give us the ROI?”.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. Testing is critical. Transcript.

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Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Sisense

SEPTEMBER 25, 2020

Practical applications of linear regression: Predicting sales of a product based on pricing, performance, risk, market performance, and other parameters Real-time server load prediction for cloud computing services Market research studies and customer survey analysis Determining the ROI of a new policy, initiative, or campaign.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Cloudera

NOVEMBER 14, 2018

This model needs training data—but testing lots of turbines until they fail in order to acquire that data would be expensive for the manufacturer. It would be less costly for the manufacturer if its customers were to send it such data. Predictive maintenance. Conclusion.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Darkhorse

APRIL 9, 2018

Ideally, they start by recruiting a data science cowboy who can do a little bit of everything. The cowboy then hires his own team of data engineers, information designers, and analysts. Over 40,000 teams entered and spent the next three years testing different approaches. If done well, the ROI can be spectacular.

Consulting 58

Consulting Cost-Benefit Machine Learning Analytics 58

Rocket-Powered Data Science

JULY 21, 2023

as likely to say that their ROI on observability tools far exceeded expectations. testing for hypothesized threats, behaviors, and activities), (2) Baseline (i.e., search for deviations from normal behaviors through EDA: Exploratory Data Analysis), and (3) M-ATH (i.e., Leaders are 7.9x

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

CIO Business Intelligence

AUGUST 1, 2023

1 for CIOs, CTOs, and CDOs is to enable secure, scalable access to a growing range of generative AI models and enable data science teams to develop and operationalize fine-tuned LLMs tailored for the organization’s data and use cases,” says Kjell Carlsson, head of data science strategy and evangelism at Domino.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

DataRobot

NOVEMBER 12, 2021

Although teams are starting to adopt third-party tools for deployment, 46 percent of survey respondents are not using a market-tested tool for deploying AI. That’s a risky business, as constructing AI models from scratch requires countless hours of time and effort, and the results may incorporate biased data and inappropriate algorithms.

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98

Cloudera

OCTOBER 11, 2021

Modak’s Nabu is a born in the cloud, cloud-neutral integrated data engineering platform designed to accelerate the journey of enterprises to the cloud. Modak empowers organizations to maximize their ROI from existing analytics infrastructure through interoperability. Cloud Speed and Scale.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

Alation

FEBRUARY 17, 2023

The firms that get data governance and management “right” bring people together and leverage a set of capabilities: (1) Agile; (2) Six sigma; (3) data science; and (4) project management tools. Do testing companies use data governance tools? Yes, testing companies use data governance tools.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Depict Data Studio

SEPTEMBER 17, 2019

You’ll also learn about 508 compliance, like how to test your visuals for sufficient foreground/background contrast, colorblindness legibility, and grayscale legibility using accessibility checkers. . David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. Chris Lysy.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea. Yes, and no.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52