Artificial intelligence is transforming companies around the world, making operations more efficient and delivering greater understanding of customers. To stay competitive, businesses must at the very least keep pace in the worlds of machine learning, deep learning, natural language processing, robotic process automation, analytics and other related technologies. But to lead in their markets, organizations need to go beyond keeping pace to mastering these technologies.
Easier said than done. Once you’ve identified an AI technology to investigate, a wide range of choices remain. What are the best practices for AI implementation? What processes should you follow? Who are the stakeholders and what are their responsibilities? Should you use an integrator? Where does the budget come from? What types of software platforms are required?
Our 2020 State of AI Survey, conducted in tandem with InformationWeek and Interop, sought answers to those and many other questions around AI implementation. This report on the state of AI focuses on the respondents to the survey who had at least one AI application in general production. To understand the lessons those teams learned, we sliced the data according to respondents’ results with their projects; those with excellent and very good results were differentiated against those with only good or fair results – toward the goal of understanding the habits and choices of those with the best results.
This 2020 State of AI Survey report investigates:
- Implementation time and costs
- Project benefits
- Top AI concerns
- AI use cases
- Personnel sourcing
- Skills gaps
- Project characteristics
- Stakeholder roles and responsibilities
- Tools and systems used
- Use of professional services providers