When Not to Use Generative AI

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Amid the hype over GenAI, it’s important to ask if GenAI — or another kind of AI — is really what you need.?

Misusing GenAI diminishes the value of AI in organizations

Generative AI (GenAI) adoption has exploded over the past year, and it has rapidly become one of the most deployed AI techniques across business units and organizations, according to Gartner surveys. There’s a good reason: GenAI offers the promise of both everyday and game-changing business improvements. But GenAI is not a silver bullet.

Generative AI is only one piece of the much broader AI landscape, and most business problems require a combination of different AI techniques. Ignore this fact, and you risk overestimating the impacts of GenAI and implementing the technology for use cases where it will not deliver the intended results.?

Use this guidance to evaluate when to use GenAI, when to use alternative AI techniques, and when to lean on some combination of the two.

Determine whether GenAI makes sense for your use case

  • Start by figuring out whether the use case is value-driving for the business and feasible to execute on, regardless of the AI technique. This is important because some use cases are not a good fit for AI and do not merit further consideration.
  • Map your use case against the relevant use case family. GenAI is:
  • GenAI may also be a poor fit for your use case if the risks that come with it are unacceptable and cannot be effectively mitigated. These include unreliable outputs, data privacy, intellectual property, liability, cybersecurity and regulatory compliance, either alone or in combination with one another.

Read the article to uncover what to do when generative AI is not the clear solution.


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Prabal Singh

Leading AI & Data Transformation | Innovating at Enterprise Scale

6 个月

Wonderful insights! It's important to remember that generative AI is not a one-size-fits-all solution, despite its immense promise. Overestimating its capabilities and overlooking the greater AI ecosystem could lead to suboptimal implementations.

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Jules Phillips

AI evangelist, IT Business Consultant and Software Test (ISEB / ISTQB), LLB Law - SC and NPPV Cleared

7 个月
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Didier Dessens

Digital Transformation Leader | CRM Expert | Driving Business Innovation.

8 个月

Yes, fully agree. There is a misunderstanding in the general public about AI. Also with many executives in large organisations too, unfortunately. Many people understand AI as only Generative AI or anything-GPT, which is, in a sense a limitation of the capabilities brought by AI technology. The landscape of AI is far broader.

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Eng. Hanady Alhadi ????

Acting Head of Innovation and Emerging Technologies Section | MSc in CS | ILM 3| AI Projects Manager| Digital Transformation Lead

9 个月

Insightful!

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Mads Stenbye

Helping businesses maximize value from their ERP & IT investments - Leading presales and development of new services for the Columbus M3 ERP Practice

9 个月

Well said! And thank you for trying to cut through the noise on this ??

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