ChatGPT has taken the world by a storm. In less than two months, more than 100 million people have signed up to use the service. That's a faster uptake than any other application, ever.

It's easy to see why. ChatGPT is smart - smart enough to pass the Wharton MBA, US Bar, and US Medical License professional exams. During that two months it's been used to write resumes, scientific papers, computer code, marketing emails, whole books and even to give business advice. GPT-4 has just been released, and it's even more capable.

Generative AI like ChatGPT has the power to disrupt every industry. Whether you're in retail, tourism, automotive, banking, insurance, real estate, law, medicine, education, transport, engineering, construction - right now is the time to evaluate how Generative AI is going to impact your industry or profession.

This moment in time also presents an opportunity - a once-in-a-generation chance to become an industry leader. Your enterprise can the first to use ChatGPT technology and steal a march over your competitors.

Every industry sector and profession has - and every enterprise has - knowledge that no Generative AI (ChatGPT included) knows much about. Either because you keep it private or because it's not deemed important enough to include in the AI's training.

What ChatGPT doesn't know, it can't provide answers or advice about. What's worse - when it doesn't know, it just makes stuff up (hallucination). These problems can be addressed, however, by giving your Generative AI access to the facts it needs and then checking its responses against those facts. For this, you need a very smart knowledge structure.

That "smart structure" is a knowledge graph. Use one and your Generative AI will:

• increase productivity and problem-solving in every part of your organisation
• minimise hallucination and bias
• explain where its answers came from
• allow you to keep your sensitive knowledge to yourself.

We've built a SaaS (Cloud-based) suite of tools that lets a team:

• build and manage knowledge graphs
• plug them into ChatGPT (or other Large Language Model)
• manage conversations (like ChatGPT does)
• interact via channels such as Slack, MS Teams and Messenger

You can learn a little more about these tools at beth.ai

As part of our preparations for a general launch, we'll use our tools to help one medium-to-large enterprise build a ChatGPT equivalent of their own. One enterprise will get a "Generative Expert" that knows all about that enterprise and the industry it represents.