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The world has watched closely as generic AI tools like ChatGPT are being adopted rapidly. So far, the focus has mostly been on how individuals are leveraging technology for specific purposes. For example, software developers use it to help write code or writers use it to create content.
But the value of AI goes beyond just automating tasks and certain workflows – it can provide insights to help solve some of the world’s toughest challenges.
AI helps operate corporations from the top level
Running a business in an uncertain economy is as difficult as any other endeavor. Business leaders face constant strategic challenges as they seek to grow their company, navigate volatile market conditions, anticipate changing customer demands, and adjust to complex regulations. That’s why in the future, the use of generic AI in the enterprise will expand beyond just individuals, teams and departments: there will be AI assistants in corporate boardrooms around the world, helping companies navigate dynamic markets, increase profits and gain an edge over their competitors. Will help. ,
C-level leaders will look to these technologies for guidance as they make the most important business decisions for their enterprise. When these executives are debating whether they should acquire a company, whether they should increase hiring or which market they should expand into next, there will be an AI assistant in the room providing analysis and recommendations. AI will have a “seat” at the table just like the CFO or COO.
Ultimately, generic AI will influence every important, high-level strategic choice these businesses make. “Impact” is a key word here. If they are intelligent and understand the fundamentals of the technology, business leaders will not give AI assistants the chance to run the company on their own. However, these leaders will ask questions that generate rich, data-driven assessments, then consider their options accordingly. This shows the real promise of AI – humans and AI collaborating to produce the best possible results.
High stakes require specialized, tested AI
Given the stakes, these companies will not use generic generative AI technologies like ChatGPT or Bard to guide these decisions – instead they will leverage technology that is customized for the purpose and for each business. These AI assistants will take into account the company’s industry, its competitors, business goals, historical industry data, etc. to provide executives with the most accurate information possible. The AI that is best at specializing – demonstrating its effectiveness, no matter what the scenario or contingency – will win in the market.
With so much going on, it will be important to avoid hallucinations. The right choice at the right time can transform a small company into a market leader in just a few years. On the other hand, when a business makes just one poor, major strategic decision, it can cost dearly and even lead to bankruptcy. Because of that, these AI modules have to be refined, extensively tested, and proven reliable before they can be deployed in the C-suite. It will require some improvements, but the technology will be ready in the next 2-3 years.
What can enterprises do to prevent hallucinations?
Even though technology is getting better and more accurate, enterprises should take proactive measures to ensure they are getting good information. First, they have to install technical guardrails to prevent hallucinations. Enterprises need to recognize that a big language model is more than just storytelling – it’s capable of writing fiction and non-fiction. If you want it to tell a fact-based story, you have to provide it with the material it needs to use to tell that story. Avoid asking for anything outside those limits and tell the system clearly that using facts from basic model training will yield wrong answers. Then, you must verify that the generated story is factually correct and based on checked data. AI tools can assist users in this verification process by providing accurate context to the data and documents used, as well as identifying whether any facts and figures come from unverified sources. Interestingly, this is a process you do for any external consultant who is helping your business.
Human-in-the-loop iteration of creating generative AI business copilots is another key component to fighting hallucinations. The human largely serves as a fact checker as well as a tone-setter, guardrail enforcer, and overall teacher. Their role is to ensure that the AI is providing relevant, realistic, trustworthy feedback and guidance to the business in a mode that is constructive to the intended use. They don’t need deep technical expertise – they just need to be a domain expert. For example, the person overseeing the e-commerce generator AI Copilot might be an e-commerce marketing manager – they understand how to evaluate e-commerce performance and can quickly identify insights that look faulty. This subject matter expert knows what a good insight looks like and can tell right away if something feels wrong. Keeping these humans in the loop is essential to designing an AI co-pilot that can interact with users about their business in a way that makes sense to them and that aligns with the way they think about their business. yes.
Strategic AI will determine market winners
The greatest value of AI lies in the insights it can help uncover. In the corporate world, it is strategic decisions that ultimately make the difference between a trillion-dollar market cap or failure. Enterprises are already leveraging AI at the individual and team level (i.e., in software development, marketing, sales, etc.). Companies that adopt generic AI at the highest level – using AI from the C-suite to guide themselves – will outperform their competitors and continue to thrive for years to come.
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