Whitepaper The Complete Guide to Computer Vision for Business Leaders
How to develop, implement and scale a solution that delivers long-term value
By Insight Editor / 9 Sep 2021 / Topics: Data and AI Data and AI Analytics
In this guide, Insight experts provide a comprehensive analysis of the technologies, skillsets, structures and processes needed to achieve your goals with computer vision.
Topics include:
- The basics of computer vision
- Business use cases by industry
- An architectural overview
- Potential challenges and solutions
- Calculating timelines and ROI
- Maximising long-term value
"Achieving the momentum needed to not only initiate but deploy these solutions at scale requires both an effective strategy and a transformative culture.”
Explore common industry applications with tips for selecting the most impactful use case for your business
Learn about the components and architecture of computer vision systems, along with best practices for each.
Understand how to estimate costs, overcome challenges and accelerate time to value with computer vision.
Who is this report for?
CxOs, VPs, directors, IT leaders and other decision-makers will gain expert insights and recommendations for implementing computer vision — from building the business case to structuring projects for success.
What will I learn?
More than 80% of organisations report they are currently investigating or planning to implement computer vision in the near future.1 Discover tools, techniques and tips to give your organization an edge as you develop your transformation strategy. nents.
1MarketPulse Research by IDG Research Services. (May 2021). Computer Vision: Adoption and Application. Commissioned by Insight.
