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DATA IS THE LIFEBLOOD OF AI , BUT BEFORE AI CAN BE PUT TO WORK IT NEEDS HIGH-QUALITY AND CLEAN DATA . in readiness for their AI implementations . Strong data management capabilities , including policies and practices that cover data collection , storage and usage will be important to mitigate compliance risks .
AI expertise and workforce adaptation
Partnering with specialists that can provide technical support and expertise will significantly accelerate and ensure the successful deployment of AI solutions . This is particularly the case for SMEs that need to be certain they can navigate any complexities that may come up and are deploying the right solutions for their needs .
Subject matter experts experienced at rolling out AI tools such as Copilot company-wide can ensure that departmental and function-by-function data and processes are appropriately incorporated and that AI models are built accurately and deliver appropriate outcomes . ensure that the workforce is positive about the benefits of engaging with AI platforms .
Stepping into an AI future
With the right planning and preparation , SMEs can apply AI to multiple processes and operational challenges . Rather than taking a ‘ big bang ’ approach , SMEs should aim to take small incremental steps and implement AI in phases . This approach will make it easier to manage costs , mitigate risks and gain valuable experience along the way .
Today ’ s cloud-based tools and user-friendly open source options now make AI more attainable and cost-effective for SMEs than ever before . Even with limited AI budgets , SMEs can unlock the potential of AI and enable tailored solutions that address their specific business needs . �
Prior to implementation , SMEs should prepare and reassure employees . Providing regular communications and training will address concerns that ‘ AI is taking our jobs ’ and
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