Cloudera

DECEMBER 11, 2020

That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. In “Are Your Machine Learning Models Wrong” , Richard Harmon explores what financial institutions should do in the face of the uncertainty caused by COVID-19.

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

DataRobot Blog

MARCH 17, 2022

Businesses today operate under greater pressure and greater uncertainty than ever before. During the pandemic, we witnessed mature machine learning models failing overnight because models trained on 2019 data didn’t know what to do with 2020 market conditions. With the DataRobot 8.0

Forecasting 52

Forecasting Machine Learning Data-driven Uncertainty 52

CIO Business Intelligence

APRIL 28, 2022

compounded annual growth from 2019 to 2024. . Much of this reluctance stems from the regulatory environment, arising from lengthy reviews and approvals processes, or even simple near-term regulatory uncertainty. . The Challenges in Scaling Analytics .

Analytics 78

Analytics Insurance Big Data Uncertainty 78

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Ludwig (@RandiRLudwig) May 23, 2019. Just doing machine learning is not enough, and sometimes not even necessary.”. — Randi R.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

bridgei2i

APRIL 27, 2020

Data which can be understood, assessed and modelled into answers based on machine learning. 2019 SalesForce report predicted a 241% growth in conversational interfaces in travel and hospitality by 2020. We know that supply chains are impacted but, we also do know that every such interaction is generating data.

Uncertainty 91

Uncertainty Machine Learning Reporting Interactive 91

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Forecasting at the “push of a button”?

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

SEPTEMBER 12, 2022

One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says.

Experimentation 122

Experimentation Consulting Technology Machine Learning 122

Insight

APRIL 10, 2020

Insight is a community of over 3,000 data scientists, data engineers, machine learning engineers, consensus, DevOps, and security engineers who have completed an Insight Fellows Program and are now members of our professional network. In 2019, over 1,000 Insight Fellows completed one of our 7 programs across 6 locations & remote.

Uncertainty 74

Uncertainty Statistics Machine Learning Publishing 74

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

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. In 2019, Netflix alone released 371 new TV shows and movies.

Risk 67

Risk ROI Modeling Metrics 67

O'Reilly on Data

JULY 20, 2021

In 2019, YouTube had to settle with the FTC for a $170 million fine for selling ads targeting children. We can’t forget that the machine learning that is doing biometrics is not a deterministic calculation; there is always some degree of uncertainty. Children make identity and privacy especially tricky.

Risk 303

Risk Software Interactive Modeling 303

Andrew White

APRIL 22, 2020

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. AI and machine learning will help, along with other data and analytics capabilities. I say “what” since increasingly more machines will be given the ability to decide.

Software 52

Software Uncertainty Measurement Marketing 52