CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 99

Machine Learning Data Architecture Uncertainty Data-driven 99

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. This results in growing competitive pressure, driven by innovation, complexity and changing social and political conditions.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. This results in growing competitive pressure, driven by innovation, complexity and changing social and political conditions.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products? Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. 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.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

Uncertainty 86

Uncertainty Manufacturing Data-driven Business Intelligence 86

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today? Khare: I look at uncertainty at two tiers.

Uncertainty 86

Uncertainty Manufacturing Data-driven Business Intelligence 86