IBM Big Data Hub

MAY 24, 2023

In an era of evolving consumer preferences and economic uncertainties, the beverage industry stands as a vibrant reflection of changing trends and shifting priorities. Data-driven insights and informed decision-making As with any transformative endeavor, data and data-driven insights will be paramount in Diageo’s journey.

Digital Transformation 80

Digital Transformation Consulting Data-driven Uncertainty 80

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. time (how much time is lost?)

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

Jedox

APRIL 2, 2020

Microservices are generally smaller elements of functionality that interact with other functionalities within a larger system via well-defined set of application programming interfaces (API). So, what are microservices and containers? The Jedox Cloud.

Digital Transformation 89

Digital Transformation Uncertainty Reporting Optimization 89

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice.

Modeling 115

Modeling Forecasting Reporting Risk 115

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 would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

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 128

Risk Manufacturing Enterprise Technology 128

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. Measure and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

bridgei2i

JUNE 3, 2020

Consumers feel threatened by the prolonged uncertainty, not having had to deal with anything like it, in their lives. Demand for minimal physical interaction/low human touch products: Due to the risk of infection, customers want to pick up products with minimal human contact.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

bridgei2i

JULY 8, 2020

This is probably the first time ever that we are witnessing a demand, a supply, and also a resource uncertainty. And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. These are strange times.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

The Unofficial Google Data Science Blog

APRIL 19, 2021

For these ML systems, calibration simplifies interaction. The numerical value of the signal became decoupled from the event it was measuring even as the ordinal value remained unchanged. bar{pi} (1 - bar{pi})$: This is the irreducible loss due to uncertainty. In practice, we enforce this by optimizing over $log(beta_i)$.

Modeling 122

Modeling IT Metrics Testing 122

The Unofficial Google Data Science Blog

APRIL 16, 2019

The metrics to measure the impact of the change might not yet be established. Typically, it takes a period of back-and-forth between logging and analysis to gain the confidence that a metric is actually measuring what we designed for it to measure. But these are not usually amenable to A/B experimentation.

Experimentation 68

Experimentation Sales Metrics Measurement 68

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. While customer confidence also takes time to recover from rising unemployment, the economic uncertainty, and anxiousness. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

Domino Data Lab

JUNE 23, 2019

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. These measurement-obsessed companies have an advantage when it comes to AI. All of these people need to get together to make this work.

Management 110

Management Machine Learning Experimentation Metrics 110