I’m planning to come to California next month to speak at Product Innovation conference which will take place at Orange County, CA. Navigate to the following link to get more details about conference and the program. The conference is user focus. So, I’m expecting to learn from customer sessions and interactions with users. I captured few interesting sessions from the agenda.
One of the sessions -The Disruptive Effects of IoT & Analytics on the Product Development & PLM Space by Gahl Berkooz is the Chief of Analytics for General Motors’ Global Connected Consumer Experience Division. The opportunity behind the data and analytics is huge and I look forward to learn more. Here is what I captured from session description:
Gahl was a member of the founding team of Ford’s Global Data, Insight and Analytics Business Unit where he was Global Head of Data and Governance, with responsibility for Ford’s Next generation Analytics infrastructure, the Ford Data Supply Chain.
In one of my earlier blogs, I shared my thoughts about future of data as a platform and it can impact future manufacturing experience. Check out my blog here.The future of manufacturing competitive intelligence will be directly dependent on the ability of manufacturing companies to use data. The era of local ERP and PLM systems is near the end. There is no company in the world that can afford to work in a disconnected mode. The future manufacturing platforms will be dependent on the ability to integrate all systems of records to drive product data intelligence.
Another session that caught my attention in the agenda is called Overcoming Cultural Resistance to a PLM 2.0 Data Strategy. Here is what I captured from the session description:
For the past couple of years a massive focus for her and her team has been to move from a model of multiple, disparate and regional systems into a harmonized way of working across innovation, quality and compliance. Today further efforts are being made in transforming their PLM and related development systems into a next generation architecture that finally leverages years worth of collected data to inform a more robust operation.
Companies are sitting on a goldmine of data that can become one of the major source of profit in the future business. Unfortunately, the data is largely unused because of inefficiency of data management tools coming from the past. The understanding what data is important, how it can be harmonized and how big data and data analytics can reshape company operations are extremely important for the future of product development and manufacturing operation.
I want also to mention my session, which will be a focus group to talk about digital habits, millennials. Today, people are so used to the speed, usability and ease of tools used in their personal lives that when faced with those at work, they struggle with how archaic, outdated and unnecessarily complex they seem. This has put immense pressure on digital software providers to adapt and enhance their offering.
The Internet and mobile technology continue to have major transformative effects on everything we do, and especially on communication. Interactive technologies are replacing old-fashioned workflows and providers are expanding from smartphones and websites to mobile and SaaS apps that provide a more usable, self-guided, and worry-free user experience. All of these together form a new digital framework around our lives and as such, new digital habits.
For the last few years I had a chance to talk to many hardware teams trying to understand the trend of new generation of people and how they use multiple software tools. I’m going to share my thoughts and ask questions about how new generation of users will disrupt existing manufacturing workflows.
What is my conclusion? I want to focus on two driving forces of transformation in manufacturing – data and people. Data intelligence is dramatically changing everything in our lives. The future of manufacturing efficiency is tightly connected to our ability to leverage data assets. Even more important is how future manufacturing environment and engineering software will interact with users. After all, technology is always an easier part. People and changes in processes related to people are the hardest part of PLM implementations as of today. Just my thoughts…
Best, Oleg
Want to learn more about PLM? Check out my new PLM Book website.
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.
