CIO Business Intelligence

NOVEMBER 7, 2022

A recent IDC report on AI projects in India [1] reported that 30-49% of AI projects failed for about one-third of organizations, and another study from Deloitte casts 50% of respondents’ organizational performance in AI as starters or underachievers. Are data science teams set up for success?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis.

Risk 81

Risk Cost-Benefit Digital Transformation Internet of Things 81

CIO Business Intelligence

FEBRUARY 21, 2023

“Becoming the best connected brewer is making sure we strengthen the relationships with our customers, consumers, suppliers and employees in a context that’s fully digital,” he says, who reports into the CDO and was previously senior director for global information services. There’s also a growing emphasis on improving team performance.

Digital Transformation 95

Digital Transformation Sales Experimentation Optimization 95

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. IoT is one of the most disruptive forces organizations must contend with today.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56