ConX19: Digital Lifecycle Challenges

ConX19: Digital Lifecycle Challenges

I’m heading to San-Diego this weekend to present at ConX19 organized by the Institute of Process Excellence. According to IpX, Check the agenda here. ConX19 will focus on enterprise transformation:

ConX19 will include discussions and workshops that provide methods for enabling end to end enterprise transformation. Attendees will learn best practices for tangible organizational change and cultural change that deploy sustainable continual improvement throughout the organization.  

Speakers will present lessons learned with combining CM2, lean principles, and agile methodologies to achieve maximized business value. The leaders in AI/AR, PLM, ERP, MES, QMS, and CLM solutions will provide guidance on digital transformation through cutting-edge advancements in technology. IpX along with our cross-industry visionaries will lead topics that demonstrate the need for a modern approach to business strategy that integrates the future state roadmap of the enterprise.

Today, I want to give you a few teasers from my presentation about Digital Transformation, Challenges of Digital Lifecycle and platform opportunities. PLM was started as a single company database to control processes. However, even after a few decades of PLM development, the challenge is still how to connect multi-disciplinary processes in siloed  data

The work is not done in one place anymore. 100 years after Ford Model-T was built in a single factory, the modern manufacturing company is a different place.

What PLM companies can ofter to modern manufacturing companies? The vision is great – everyone today is talking about how to “connect everything”.

However, where is the real problem with existing PLM platforms? I’m going to talk about it during my presentation next week at IpX ConX19.

What is my conclusion? The challenges of manufacturing companies are to connect siloed data belonging to multiple companies in a connected process. Manufacturing companies are sitting on a gigantic amount of data and continue to accumulate it. However, how to use this data and how to connect this data into something that can run a process and provide intelligence is the biggest problem. Just my thoughts…

Best, Oleg

Disclaimer: I’m co-founder and CEO of OpenBOM developing cloud-based bill of materials and inventory management tool for manufacturing companies, hardware startups, and supply chain. My opinion can be unintentionally biased.


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