Industry 4.0 and A.I.

-
A.I., Machine Learning and  Deep Learning

The capabilities to extract and process information from a mass of data drives the Industry 4.0 revolution. The machine can "learn by doing", or it can be trained. Here, SW plays a fundamental role for clustering, classifying and predicting. Artificial Intelligence and more specifically machine learning and deep learning algorithms help to solve such classes of problems. #A.I. #machinelearning #deeplearning #industry40
Location: Zürich, Switzerland

Popular posts from this blog

Unlocking Swiss Productivity: Why Moving from ETO/DTO to CTO Can Free Up Millions

-
Image
  The Hidden Cost of Complexity in Swiss Industry Switzerland is renowned for its high-value manufacturing and innovation. Yet, a recent analysis of the financial results of 10 leading Swiss-listed companies across sectors such as pharma, medtech, automation, and advanced industrials reveals a common challenge: the cash conversion cycle (CCC) is often extremely long—sometimes exceeding 200 days. What’s Behind a High CCC? Many Swiss companies operate with highly customised processes: ETO (Engineering to Order): Each product is engineered from scratch for the customer. DTO (Design to Order): Each order requires a new design, though some modules may be reused. These models maximise customisation but also lead to: High inventory levels (DIO) Long lead times Capital tied up for months The result? A high CCC —the time it takes to turn investment in inventory and resources into cash from sales. The CTO Opportunity CTO (Configure to Order) is a different approach: Products are built fro...
Read more

The Missing Piece of PLM: Roadmaps and Obsolescence in the B2B Market

-
Image
  Product Lifecycle Management (PLM) is a well-established process in many companies, guiding products from initial concept to launch. However, a critical aspect often gets overlooked: the product's end-of-life (EOL) and its planned obsolescence. This is especially crucial in the B2B market, where products often have longer lifespans and are integrated into complex systems. The Importance of a Product Roadmap A well-defined product roadmap is essential for managing a product's lifecycle effectively. It outlines the planned evolution of the product, including: Future versions and updates: This includes improvements in functionality, performance, and security. Technology upgrades: This ensures the product remains compatible with the latest technologies and standards. EOL strategy: This defines when and how the product will be phased out. By having a clear roadmap, businesses can: Meet evolving customer needs: Regular updates and upgrades ensure the product continues to m...
Read more

Digital Sovereignty in Switzerland: A Pragmatic View for Leaders and Decision Makers

-
Image
Digital sovereignty has quickly become a top priority for Swiss enterprises, public institutions, and critical‑infrastructure operators. Recently, Microsoft Switzerland’s CEO has strongly promoted their new “sovereign cloud” offering, positioning it as a solution that gives Swiss companies full control over their data. It is a positive and important development — but for leaders operating in complex, regulated, safety‑critical and IP‑sensitive environments, a more complete and pragmatic perspective is required. Below is a concise, diplomatic, executive‑level assessment intended to support informed decision‑making. 🔍 1. The Value Microsoft Brings: Technical Sovereignty and Innovation Microsoft has indeed introduced significant enhancements for the Swiss market: Swiss data centers in Zurich and Geneva  EU‑based access approvals through “Data Guardian” Customer‑managed encryption keys Local and on‑prem options via Azure Local and Microsoft 365 Local  For many organizations, the...
Read more