Even after creating enough hype in the market for the past couple of years, artificial intelligence (AI) adoption across the globe remains dull. Only 4 percent of companies have invested in AI, out of which, only 20 percent are proactively experimenting with AI solutions.
According to the 2018 Gartner CIO survey, just 46 percent of firms have plans to implement AI solutions. In this article at Compare the Cloud, Darren Hardman explains that AI adoption does not only mean successful project results, but it is also about utilizing employees’ skills and innovative ideas to design more strategic tasks.
No Widespread AI Uptake
Evidently, the survey proves the inability of AI adoption in the UK and other developed countries. Of course, developing nations are far from even experimenting AI. However, it is vital to understand, if implemented well, AI can bring unforeseen benefits to the organization. Automation will shift human effort into brainwork of strategizing growth-oriented moves. Here are some major reasons to give AI implementation a sincere thought:
- Kick Off Project Scalability: AI solution is avant-garde, and it will benefit the whole organization. By taking a sprint-based approach, IT and other project teams can work in tandem and bring impactful results in weeks.
- Understand & Implement: Robotic Process Automation (RPA) is ideal for AI adoption in organizations. It helps in reducing repetitive manual tasks available in bulk by using structured data while reducing major time spent on it. This way, humans will be free to perform more complex tasks and may deliver high ROI.
- Knowing What You Want: Set limitations over AI implementation achievements. Twitch with a basic prototype with limited functionality to scale up organizational capability. This will bring better and fast results. Appoint an ‘AI evangelist’ to keep the projects on track.
- Employees Play a Significant Role: Internal resistance to change is the major hindrance on the way of AI implementation in organizations. Hence, first involve internal staff in AI planning and implementation process. Explain to them how automation may help them shift focus towards high-level, more rewarding work.
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