Jul 01 (News On Japan) - Today, many businesses are adopting AI platforms to help them with marketing, content creation, and many other areas. But is AI advanced enough to provide viable business advice?
In this article, we will help you decide if AI can provide sound business advice and give you tips to consider before adopting this technology in your business.
Is AI a Great Source of Business Advice?
There’s a lot of controversy surrounding the large-scale adoption of AI, but this hasn’t stopped countless companies from leveraging this technology.
But, should you listen to AI’s business advice?
The truth is that this answer varies depending on the type of advice you’re seeking as well as the rest of your context.
AI models rely on the data that you provide in order to make decisions. If you provide clean, high-quality data, then the answer will likely be more beneficial than if you use unclear or obscure information.
Given this, AI models tend to provide better advice when the problem presented can be solved through calculations or logical thinking. For instance, if you’re trying to work out a specific value, then AI can be an amazing tool.
When it comes to issues that have an abstract solution, like HR-related challenges, you should thoroughly evaluate the AI’s response before deciding to implement it.
The reason for this is that it’s difficult for AI to determine how certain actions affect intangibles like team spirit and morale. If you find yourself in one of these situations, consider reviewing the challenge with a coworker in order to understand the role of the human element.
You should also be careful with feeding it with any sort of sensitive data. Click here to learn more about the tools you can use to protect your private information from cyberattacks.
Things to Consider Before Adopting AI for Your Business
It’s estimated that there are almost 68,000 companies working on some form of artificial intelligence (AI) technology and that number shows no signs of slowing down.
Adopting AI for your business can hypercharge your content generation as well as other efforts across the board. With that said, you need to evaluate a few different things before deciding where and how you want to implement this technology. Let’s take a closer look.
AI Wants to Get It Right
In a certain way, platforms like ChatGPT and Google Gemini receive a positive stimulus when they have completed a task correctly.
This is great because they will go the extra mile, but it also means that AI platforms have a hard time admitting when they don’t know the answer. This means that you may receive contradicting advice from your AI platform if it doesn’t understand your request or has any relevant information in its database.
The AI Platform Matters
Not all AI platforms are built the same way. Some platforms use generative AI while others are actually large language models (LLMs), and knowing the difference between them can help you decide if the advice you’re getting is sound.
Generative AI is what most people imagine when they hear the term “artificial intelligence.” This type of technology creates original content from scratch using a series of complex algorithms to reply to the initial request.
LLMs are actually a form of machine learning technology, which is inherently different from generative AI.
In short, LLMs respond to your request by creating a sequence of letters and symbols based on all the other examples received during the training process. Rather than “formulating” the best response, LLM determines an answer through a process more similar to elimination.
There is no general consensus on which one of these AI technologies is superior. Instead, you should evaluate the advice you receive from every AI platform you use to ensure that the information being offered is sound.
It’s Important to Consider Ethics and Privacy
As with all new technology, the more we adopt AI, the more ethics-related issues we’re faced with. For instance, every AI processing uses more than 400 watts of energy per day, raising questions about the adoption of this technology at a much larger scale.
Not only this, but you also have to decide what information you share with your AI platforms. If you share confidential details like payment details and client information, it may represent a breach of privacy. This is especially true if the AI platform is compromised at any point.
Here are 3 reliable platforms that are known for their open approach to tackling existing ethics issues and robust security infrastructure.
- ChatGPT: With more than 3 billion site visits per month, ChatGPT is the most popular AI tool being used for business today;
- Google Gemini: The evolution of the company’s initial Bard AI, Gemini, is believed to be Google’s big push at establishing a mainstream AI platform.
- Perplexity AI: While not as dynamic, Perplexity AI is regarded as a top content-creating platform because it provides sources for all of the claims it makes.
In Conclusion
AI has already been adopted at a large scale by millions of companies, and we’re still only scratching the surface of its potential.
With that said, entrepreneurs need to evaluate the context in which they implement AI and determine whether the business advice from this technology is sound or if it requires some adjusting before being implemented.
This is the best way to position yourself in the long run because it allows you to leverage all the potential of AI without falling into certain costly pitfalls.
