Learn how your business can successfully weave generative AI into the fabric of its functions and reimagine the way you do business.
Executive summary
Adopting generative AI successfully means weaving it thoughtfully into the fabric of how a company functions and reimagining the very way we do business.
1. Defining ROI-focused AI implementation
Three pillars of a well-implemented AI program include an improved data infrastructure, an AI process platform, and adaptable AI agents and workflows.
2. How modern companies use AI
Instead of responding to pressure to adopt generative AI solutions, smart executives are narrowly targeting their AI projects and, once deployed, evolve their implementations based on end-user feedback.
3. How businesses get stuck when implementing AI
The underlying issue is not the technology itself. It’s Shiny Object Syndrome—the belief that whatever is coming down the line will be the answer to all problems (of course, it’s not).
4. Solving the implementation problem
Repetitive tasks are strong contenders for automation. Where humans spend time repeating predictable steps, machines can often be trained to take over.
5.
Overcome the hurdles of implementing AI
The reason so many companies struggle with AI rollouts is because of a lack of understanding of how AI can be effectively implemented. Artificial intelligence is just as much about optimizing for human work alongside computer work.
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