Generative (Gen) AI is everywhere. It has seeped into our social fabric to become a household name. There is a great deal of Fear Of Missing Out (FOMO) associated with not leveraging Gen AI
Success factors for enabling Gen AI led Transformation
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What problem do you want to solve?
A properly defined problem is half the battle one. Most companies just want to leverage Gen AI without clearly articulating what problem they are trying to solve. For example, is it to improve customer experience during warranty claims or is it to help brainstorm new ideas during New Product Development or is it to help Marketing come up with creative briefs for a new product or service launch?
Once the problem is clearly defined and written down (Yes, you heard it right!) then you are on firm ground
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How relevant should the response be?
The next step after you define the problem, is to figure out how contextual you would like the responses to be and what action you would like to drive.
If you sell cars of a particular brand, you would want to restrict information relevant to the company’s brands and services. For example, If a customer asks for advice on how to replace engine oil on his own, the model should first check which vehicle(s) the user owns, check when was the last oil change done, which grade of oil is relevant for his vehicle, lookup instructions in the relevant technical manual and then by combining this information from the company’s internal applications with an LLM, generate a human like response on steps to be taken to change the oil.
The model may also ask the customer if there is any specific need for the oil change as records indicate that the change was done only last week.
In the use case above, not only is the model generating a highly contextual and relevant response, it is also helping unearth any underlying issues that may impact customer satisfaction and address it proactively
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How well are you executing the initiative?
As with any new technology, there will be hiccups and teething issues. Start by getting
your employees on board by explaining what you are doing and why you are doing it. Get them involved and excited to contribute. Start with a small pilot to test the waters. It is better to fail fast and iterate than invest a lot of time and effort only to realize that you are climbing up the wrong tree!
Common Pitfalls to avoid
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Treating Gen AI as a silver bullet
Gen AI will not solve all your problems just by implementing it. Though it’s a great enabler, it is still a tool and should be treated accordingly. There are limits to Gen AI and inherent biases that one should be watchful for.
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Neglecting Change Management
Resistance from stakeholders can stall progress. Failing to address the “human element” of AI adoption is a recipe for failure.
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Ignoring security concerns
Gen AI systems can be vulnerable to misuse or attacks. Invest in robust cybersecurity measures to safeguard sensitive data and applications.
Conclusion
Gen AI led transformation is more than adopting new technology—it’s about reimagining the way organizations operate and innovate. By focusing on well-defined goals, data integrity and inclusive collaboration, organizations can unlock Gen AIs’ full potential
