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Council Post: How Companies Can Effectively And Thoughtfully Implement AI With Limited Internal Expertise

Feb 20, 2025 - forbes.com
The article discusses the challenges companies face when adopting artificial intelligence (AI) due to limited internal expertise. Without a strong foundational understanding of AI, organizations may struggle to identify optimal use cases, leading to missed opportunities or inefficient implementations that increase costs. Additionally, companies may face data privacy and security risks, particularly in regulated industries like healthcare and finance, when relying on third-party, off-the-shelf AI services. These services, while cost-effective and easy to deploy, often lack the necessary customization and security for sensitive data, making them unsuitable for companies with specialized needs.

To strategically implement AI, leaders should assess their business needs, prioritize them, and consider timelines for AI rollout, typically six to 12 months. For complex needs, especially in regulated industries, managed service providers are recommended. Leaders should evaluate providers based on data control, scalability, flexibility, and support. Additionally, gaining foundational AI knowledge and promoting company-wide AI education can help leaders make informed decisions and safeguard their organizations. AI should be seen as an enhancement to business operations rather than a threat.

Key takeaways:

  • Limited internal AI expertise can lead to challenges such as misunderstanding AI's potential impact, lost opportunities, and increased costs due to insufficient or excessive implementations.
  • Off-the-shelf AI services can be suitable for companies with basic needs, but may not provide the necessary data privacy, security, and customization for companies with sensitive data or strict compliance requirements.
  • Leaders should assess their business needs, prioritize them, and consider managed service providers for AI implementation, especially in heavily regulated industries.
  • Executives should gain foundational AI knowledge and promote AI education within their organizations to better safeguard their companies and make informed implementation decisions.
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