You may already understand the value of Expert Networks and how they can help business leaders. For a refresher, Expert Networks are extremely valuable in helping businesses in the following ways:
- Leveraging disruptive technology and avoiding its negative impacts
- Identifying innovation whitespace
- Evaluating the merits of a new market
- Breaking complex problems down into their principal components and addressing each component for a better solution
- Understanding market disruptions and how to address them
Access to a highly vetted subject matter expert is one of the most cost-effective and efficient ways to help drive desired business outcomes.
Recently, I have been asked whether the value of Expert Networks is at all diminished in the world of generative AI. As generative AI becomes increasingly sophisticated, expert networks are still — even more so than before — a valuable resource for businesses and individuals. Expert networks provide access to a wide range of expertise and can help businesses make better decisions, develop new products and services, and stay ahead of the competition.
Some of the benefits of using an expert network:
- Access to specialized expertise: Expert networks can provide access to specialized expertise that may not be available within a company. This can be especially helpful for businesses that are new to a particular industry or facing a complex challenge.
- Speed and efficiency: Expert networks can help businesses get the information they need quickly and efficiently. This can save businesses time and money, and it can help you make decisions more quickly.
- Increased accuracy: Expert networks can help businesses get more accurate information. Experts are typically more knowledgeable about their field than other sources of information, even the breadth of journalism and the Internet.
- Increased trust: Expert networks can help businesses build trust with their customers and partners. Businesses that use expert networks are often regarded as being more knowledgeable and credible.
Generative AI is a powerful tool that can be used to create realistic and engaging content. However, risks associated with using generative AI for your most important business decisions include:
- Bias: Generative AI models are trained on large datasets of text and code. These datasets can contain bias, which can be reflected in the responses generated by the model. For example, a generative AI model that is trained on a dataset of news articles may produce responses that are biased towards a particular political party.
- Inaccuracy: Generative AI models are not always accurate. They can make mistakes, such as generating incorrect or incomplete information. Resulting problems may include inaccurate customer support or making financial decisions based on false information.
- Malicious intent: Generative AI models can be used by malicious actors to create harmful content, such as deep fakes or propaganda. This content can be used to deceive people, spread misinformation, or cause harm.
As generative AI becomes more sophisticated, it is important to remember that it is still a tool. While it can be used to generate insights and ideas (I used it to help me write this blog!), AI cannot replace the expertise of human beings. Expert networks can provide businesses with access to the human expertise that remains essential today.
If you are looking for a way to gain access to specialized expertise, improve your decision-making, or stay ahead of the competition, then an expert network can be a valuable resource for your business.
Need access to an expert? Search our panel of over 30,000 areas of expertise, or contact Richard.Catrone@Big-Village.com to be put in touch with one of our expert consultants.
Written by Richard Catrone, EVP, Global Operations at Big Village.