Jet Global

DECEMBER 31, 2019

He is also an author, speaker, and thought leader helping to shape the conversation around digital transformation and 21st-century excellence. The tools for delving deep into the data of the business, identifying patterns, and making predictions on trends are making a real impact. Jonathan Reichental, Ph.D.,

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

JUNE 16, 2022

A real-time data technology stack has to shrink this innovation gap for the business. . Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. Digital transformation has actually contributed to this complexity.

IT 135

IT Experimentation IoT Data-driven 135

CIO Business Intelligence

NOVEMBER 21, 2023

The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt. Citizen data science reduces shadow IT when CIOs promote proactive data governance and establish data integration, cataloging, and quality practices.

IT 137

IT Risk Cost-Benefit Risk Management 137

Business Over Broadway

MAY 22, 2019

Roadblocks for executives that prevent them from moving forward on their digital transformation initiatives: Roadblocks include poor culture, lack of skills, lack of funding, and, maybe, most importantly, no clear problem statement for why they are wanting/needing digital transformation. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

bridgei2i

APRIL 28, 2020

So, in our AI to Impact podcast, we’ll now be focusing on conversations with business leaders, digital transformation advisors, as well as AI and analytics thought leaders to discuss the impact of COVID-19 on enterprises, and how enterprises can recalibrate their focus for continuity and resilience. Aruna: Got it. Aruna: Got it.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Data science and MLOps. AI is no longer experimental.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57