Cedrik Neike
CEO of Digital Industries at Siemens. Focuses on software and automation for various industries, including AI implementation in manufacturing.
Top 3 podcasts with Cedrik Neike
Ranked by the Snipd community
13 snips
Aug 8, 2025 • 1h 1min
Siemens-Vorstand Neike: „Ich habe fast immer mit Leuten zusammengearbeitet, die schlauer sind als ich“
Cedrik Neike, Vorstandsmitglied bei Siemens und verantwortlich für Digital Industries, erzählt von seinem Aufstieg vom Azubi zum Führungskraft. Er spricht über den Einfluss seiner deutsch-französischen Wurzeln auf seine Karriere und die Bedeutung von Mut und Demut. Neike reflektiert über die digitale Transformation im Industriesektor und die Herausforderungen für Ingenieure in traditionellen Unternehmen. Besonders spannend ist sein Vergleich zwischen lokaler Produktion und globaler Softwareentwicklung sowie die Rolle von Künstlicher Intelligenz in der europäischen Wirtschaft.
13 snips
Dec 13, 2023 • 10min
Time is running out on climate change. The metaverse could help | Cedrik Neike
In this engaging discussion, engineer Cedrik Neike, a leader in sustainable business, sheds light on how the metaverse could revolutionize our approach to climate change. He explains the concept of 'digital twins' and their role in optimizing processes like battery production. Neike emphasizes the use of AI-powered modeling to streamline industries and reduce waste. From electric airplanes to automated food production, he illustrates how these innovations can significantly lower carbon emissions and inspire immediate action.
11 snips
Apr 3, 2025 • 39min
Beyond the hype, how industries are deploying AI at the heart of their operations
Andrew Ng, managing general partner of AI Fund and founder of DeepLearning.AI, is joined by Cedrik Neike, CEO of Digital Industries at Siemens, and Kiva Allgood from the World Economic Forum. They delve into how AI is transitioning from experimental phases to core operational functionalities across industries. Key discussions include leveraging AI for enhanced manufacturing efficiency, the necessity of workforce upskilling, and addressing misconceptions surrounding AI. The importance of practical applications over hype is emphasized, alongside sustainable practices powered by AI.
