Computer vision is a rapidly evolving field that offers utility professionals more ways of gaining insights, optimizing processes, and enhancing customer experience. However, building a successful computer vision program requires a holistic approach that considers the foundational, organizational, and financial investments of AI.
In this panel, we will discuss how to build a holistic AI strategy through the lens of problem solving problems with computer vision. Join us to discuss our experiences, challenges, and best practices in building holistic AI programs with computer vision.
Key takeaways include: •
- Setting foundational governance and enablement: How to establish the principles, policies, and practices that ensure the responsible and effective use of computer vision across the organization.
- Developing synergies across silos and data science: How to foster collaboration, alignment, and engagement between different business units, stakeholders, and data science teams to leverage computer vision for common goals and outcomes.
- Improving value stream of data science capital investment: How to measure and maximize the return on investment of computer vision projects and initiatives, and how to communicate the value and impact of computer vision to the organization and customers.