AiPM

Artificial Intelligence Portfolio Management

AiPM Dashboard

 

AiPM is a structured approach to managing and optimizing AI assets within an organization

Definition

AiPM is a structured approach to managing and optimizing AI assets within an organization.

AiPM aligns and scales AI initiatives, helping business adapt and thrive in a fastchanging landscape

Importance

AiPM aligns and scales AI initiatives, helping business adapt and thrive in a fast-changing landscape.

AiPM boosts decisionmaking, efficiency, and outcomes through optimized AI management

Value

AiPM boosts decision-making, efficiency, and outcomes through optimized AI management.

The Future of Enterprise Business

In the next 25 years, AI will fundamentally transform the enterprise landscape, becoming a cornerstone of business strategy. By 2025, AI will automate routine tasks and enhance decision-making in core business functions. As AI advances, it will evolve from real-time optimization and predictive analytics in 2030 to fully autonomous processes by 2035.

By 2040, AI will serve as a strategic driver, focusing on continuous process improvement and innovation. By 2045, AI will be the foundation for business leadership, guiding long-term planning and fostering a culture of innovation and operational excellence.

AiPM Roadmap

Shifting Importance

Traditional disciplines like TPM, APM, and BPM will decrease in importance over time. Meanwhile, the management of AI models will skyrocket. To stay ahead of this major disruption, ins-pi has introduced Artificial Intelligence Portfolio Management (AiPM).

AiPM offers a structured approach to managing and optimizing AI assets within your organization. By implementing AiPM, you can ensure that your AI initiatives are well-managed, strategically aligned, and capable of driving long-term success. Let's get ahead of the curve together!

Shifting Importance

Why start with AiPM now?

Organizations are quickly adopting AI technologies across various functions. Without proper management, this rapid growth can lead to misalignment with business goals. The AI landscape is becoming more complex, with diverse models, data sources, and integration points.

AiPM provides a structured approach to managing this complexity, ensuring measurable results, regulatory compliance, competitive advantage, and effective risk management. Early adopters of AiPM are already driving innovation, efficiency, and customer satisfaction. Now is the time to embrace this opportunity and stay ahead of the competition.

AiPM Dashboard