From Bottlenecks to Breakthroughs in Product Development
Product managers and innovation leaders live at the crossroads of business strategy, engineering execution, and market needs. Their success depends on aligning diverse stakeholders, building convincing business cases, and keeping roadmaps on track. But too often, the process is bogged down by bottlenecks: endless meetings, disconnected data, and competing agendas.
Data Ownership and Trust in AI
When enterprises consider AI, one concern rises above all others: what happens to our data?
Product development involves some of the most sensitive information a company holds from BOMs and material costs to design guides and supplier strategies. Without clear answers about storage, training, and control, AI adoption feels risky.
The Future of Product Development Starts Here
Product development is the heartbeat of every enterprise. It determines how fast you can innovate, how well you compete, and how effectively you deliver on both financial and sustainability goals. Yet today, the process is broken. Teams wrestle with manual spreadsheets, siloed PLM and ERP systems, endless meetings, and an over reliance on consultants.