WithGenAI past the Peak of Inflated Expectations — though the hype continues — chief product officers are left to figure out how to deliver ROI from already significant investments in AI. Low adoption rates and meager returns on incorporating GenAI into their offerings mean that product leaders must shift gears to see positive outcomes.
Focus on where AI can add true value for customers and drive efficiencies in internal processes. Consider moving the focus away fromGenAI adoption and onto other types of AI, likeagentic AI.
With increased adoption of as-a-service models, customer experience expectations and margin pressures, we see the rise ofplatform engineering approaches and of a new type of product manager, the digital product manager (DPM) role, tasked to support product managers and to identify, design and deploy solutions across theproduct portfolio.
Chief product officers must balance the benefits of common platforms with the demands ofportfolio planning and design — another area where organizations are struggling to achieve the goals of their investments. Partner with internal technology and engineering stakeholders to identify and solve common requirements and develop capabilities across the platform.
GenAI and otheremerging technologies have created new attack surfaces and externally exposed APIs for product leaders to consider. Chief product officers and their teams must partner with engineering teams to assess and mitigatecybersecurity threats from users, endpoints, applications, data and networks.
In today’s landscape, security can no longer be an afterthought in the design process. Instead, product and security teams should work together to implement security-by-design principles that ensure security is front of mind during, and integrated into, the product design process.
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