bridgei2i

MAY 26, 2020

And over the past few weeks, on our AI to Impact podcast, we’ve been chatting with reputed AI & analytics leaders, digital transformation advisors and BRIDGEi2i business heads to gather their point of view on the current crisis challenges that enterprises are facing and some strategies to manoeuvre the COVID-19 situation.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

MARCH 30, 2017

My personal strategy: Understand reality. rather than guessing how much credit to give each marketing strategy from hundreds of thousands of customer touch points, ML powered attribution can magically analyze every individual’s journey and automatically recommend shifts to your media budget! Yes, a silo but so much better than 2015.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

The Unofficial Google Data Science Blog

JUNE 30, 2016

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. For a random sample of units, indexed by $i = 1.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

APRIL 24, 2023

Amanda Merola had zero technical background when she came to The Hartford in 2015, despite a natural interest in computers and a proclivity for problem-solving. Today, those two strategies are no longer enough. Now, it’s about managing people for who they can be tomorrow, not for who they are today.”

IT 108

IT Strategy Software Insurance 108

Andrew White

JANUARY 9, 2022

This was not statistic and we have not really explored this in any greater detail since. To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. 2015) and What is Wrong with Interoperability (in healthcare)?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Joel Grus (2015). Pedro Domingos (2015). Think Bayes. Downey (2013).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 9, 2019

You can sleep at night as a data scientician and you know you’re not building a random number generator, but the people from product, they don’t want to know just that you can predict who’s going to be at risk. There’s some strategy to be thought about in terms of how we push these things out on social channels.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.

Statistics 27

Statistics Uncertainty Risk Marketing 27

CIO Business Intelligence

MAY 7, 2024

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Big Data” is a critical area that runs the risk of being miscategorized as being either irrelevant — a thing of the past or lacking a worth-the-trouble upside.

Big Data 127

Big Data Statistics Machine Learning Data Science 127

CIO Business Intelligence

JULY 6, 2023

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. Another benefit is greater risk management. Scaling automation shifts from tactical one-off efforts to a strategy to improve one or more business processes,” she says.

Cost-Benefit 117

Cost-Benefit Technology Unstructured Data Testing 117

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. Risk, Probability, Impact, and Decisions.

Uncertainty 275

Uncertainty Testing Risk Reporting 275