CIO Business Intelligence

JANUARY 15, 2024

Sanjay Srivastava, chief digital strategist at Genpact, can attest to the value of this leadership-building strategy, saying that “a curated network of like-minded peers across industries that I can brainstorm with” has been extremely helpful. “I It’s not just talk or a label.

IT 131

IT Consulting Strategy Sales 131

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 141

Risk Manufacturing Enterprise Technology 141

DataRobot

APRIL 5, 2021

The uncertainty in her reply piqued my interest. In a series of experiments, the researchers and authors of “ Manipulating and Measuring Model Interpretability ” asked participants to predict apartment prices with the assistance of a machine learning model. Umm, yes, I think so,” she replied. I wanted to know why she was so uncertain.

Uncertainty 96

Uncertainty Machine Learning Modeling Reporting 96

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

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 95

Cost-Benefit Modeling Manufacturing Interactive 95

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. 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. Data Variety.

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95

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 176

Testing Data Quality Predictive Modeling Metrics 176

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. It is also a sound strategy when experimenting with several parameters at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Keep calm and lead on.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

O'Reilly on Data

SEPTEMBER 15, 2020

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

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. HPLC can deliver 99.9%

Interactive 95

Interactive Uncertainty Data Collection IoT 95

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

Cloudera

OCTOBER 26, 2021

A company’s culture is a deciding factor on whether a concerted strategy for employee wellbeing will succeed, and this is more often than not influenced by its senior leadership. The challenges of remote working with dispersed teams have been a test of leadership. Leaders need to create a culture that values wellbeing .

Uncertainty 87

Uncertainty Interactive Reporting Measurement 87

Rita Sallam

MAY 12, 2021

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. When it came to containing the spread of COVID cases, countries with a higher prevalence of domestic travel restrictions and mass population testing measures faired better than those that relied predominantly on awareness campaigns.

Data Analytics 59

Data Analytics Analytics Measurement Uncertainty 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. These measurement-obsessed companies have an advantage when it comes to AI. It is similar to R&D. Transcript. Hi, I’m Peter Skomoroch.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

APRIL 16, 2019

Such decisions involve an actual hypothesis test on specific metrics (e.g. 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.

Experimentation 68

Experimentation Sales Metrics Measurement 68

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. Mike had made the common error of equating a bad outcome with a bad decision.

Uncertainty 275

Uncertainty Testing Risk Reporting 275