O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty. AI product estimation strategies.

Management 339

Management Machine Learning Experimentation Metrics 339

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 134

Risk Manufacturing Enterprise Technology 134

IBM Big Data Hub

APRIL 18, 2024

The AGI would need to handle uncertainty and make decisions with incomplete information. ” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Crucially, it takes into account the uncertainty inherent in our experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Sisense

JUNE 24, 2020

In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Every company wants to focus on operational efficiency and protect their revenue against uncertainty.

Analytics 52

Analytics Cost-Benefit Consulting Strategy 52

CIO Business Intelligence

SEPTEMBER 6, 2023

Today’s business climate is rife with economic uncertainty that is causing IT leaders to do more with less while still innovating to support the business. They also tend to be stable and robust systems owing to thorough vendor testing and years in the market. A composable ERP strategy isn’t all butterflies and rainbows, though.

Strategy 99

Strategy Uncertainty Cost-Benefit Optimization 99

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. There’s a lot of overlap between these factors. automated retirement portfolio rebalancing and maximized ROI).

Cost-Benefit 300

Cost-Benefit Advertising ROI Machine Learning 300

CIO Business Intelligence

APRIL 28, 2024

Carbon neutrality and carbon peak strategies are driving the adoption of new energy worldwide. However, new energy is restricted by weather and climate, which means extreme weather conditions and unpredictable external environments bring an element of uncertainty to new energy sources.

Interactive 71

Interactive Uncertainty Data Collection IoT 71

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

Jet Global

MAY 19, 2020

However, even amid all the uncertainty of the pandemic, change is not a novel concept for successful businesses. Industry-leading CFOs shared their ideas on April 16, 2020, during insightsoftware’s webinar, How to Navigate Your Business Through This Uncertainty. Throughout history, companies have had to transform to thrive.

Uncertainty 98

Uncertainty Risk Management Reporting 98

Jet Global

APRIL 22, 2020

Businesses across the globe are facing a level of uncertainty that didn’t exist just months ago. Explore our interactive infographic to reveal valuable insights on how top CFOs are responding from our recent panel discussion, “How to Navigate Your Business Through This Uncertainty.” Brian Shaw. Chief Financial Officer.

Uncertainty 59

Uncertainty Testing Management Modeling 59

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. As quickly as possible, you want to get designers and data scientists, machine learning folks together and using real data and prototyping and testing.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

APRIL 16, 2019

Such decisions involve an actual hypothesis test on specific metrics (e.g. This is not the classic case of hypothesis testing via experimentation, and thus the measured effects are subject to considerations that come with the territory of unintentional data. This strategy only works if we have the ability to identify EDM users.

Experimentation 68

Experimentation Sales Metrics Measurement 68

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). bandit problems). Cambridge University Press, (2006). [2]

Modeling 40

Modeling Statistics Advertising Testing 40

bridgei2i

JUNE 11, 2020

If nothing else, this anecdote offers valuable insight into the impact that uncertainty of any kind has on consumer behaviour; it triggers volatility. To navigate this increasingly complex landscape, brought about by COVID-19, business leaders must take into account such fears and craft strategies accordingly.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52