CIO

APRIL 12, 2023

Machine learning models (algorithms that comb through data to recognize patterns or make decisions) rely on the quality and reliability of data created and maintained by application developers, data engineers, SREs, and data stewards. This doesn’t necessarily require ripping and replacing existing systems.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

RapidValue

JULY 21, 2019

DataOps is a methodology that helps organizations combine access to information for the employees that consume data and those that provide them. To master DataOps, you are required to overcome the organizational and cultural barriers that separate people from data. DataOps is a people and process paradigm. By Nairita Goswami.

Business Transformation 65

Business Transformation Enterprise DevOps Analytics 65

Altexsoft

OCTOBER 26, 2022

This is how Deloitte defines this role, “The CDO is a catalyst and driver of change, bringing a new culture and mindset, and new ways of working to the enterprise, that would otherwise not have happened or would have happened too slowly.”. Bring culture change. Bring culture change. Data understanding. Project management.

CTO 52

CTO Organization Technical Review Culture 52

Cloudera

DECEMBER 18, 2017

“Becoming data-driven is a multi-year journey, not a simple implementation.” Acquiring and using data in a way that simply wasn’t possible up until very recently, requires a huge cultural shift. The data-driven journey often begins with simple, tactical use cases – typically around visibility.

Data 40

Data Business Transformation Machine Learning Artificial Inteligence 40