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.
How AI in Product Development Maximizes Portfolio ROI
For executives, product development decisions are among the most consequential they make. Portfolio ROI, speed to market, and the ability to stay competitive all hinge on the quality and timing of these choices. Yet in most organizations, decision-making is slowed by incomplete data, outdated processes, and expensive reliance on consultants.
The Importance of Scope and Data Control: Why Generic AI Isn’t Enough for Product Development
AI is everywhere. Tools like ChatGPT have shown how quickly ideas can be generated, answers produced, and tasks accelerated. But in product development, speed alone is meaningless if the output isn’t precise, contextual, and actionable.
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.