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How to Avoid Hype and Add True Value to Your Business With AI

🔥 TOP STORY

With so much buzz around generative AI, companies risk losing money and time getting swept up in the thrill of a new invention. To avoid those pitfalls, companies need to carefully consider where the real value lies and how to extract that value with AI.

"This is the critical difference between innovation and invention," writes Scott Varho, in this succinct, actionable overview of ways to add more value with AI processes and tools. (7 mins)

Tip: Use this article to identify impactful AI-driven opportunities for your business, and complement those insights with the practical, market-specific use cases in the Quick Hits.

QUICK HITS

⚙️ TOOL TIME

The easiest way to give your chatbot a mind of its own. Train it with text, PDF files and even your whole website and this little guy will come back with the answers you need. If you’ve ever built a chatbot flow, you’ll know what a massive win it is to have a tool like this.

ChatIQ.ai is built on ChatGPT and works in any language.

🎥 WATCH THIS [Video]

Auto-GPT is a new technology that creates its own prompts and feeds them back to itself, enabling it to handle complex, multi-step procedures. Here's a quick look at what's being called the successor to ChatGPT.

👉 ONE TO WATCH

Bernard Marr (from Watch This video above)

Bernard Marr is a best-selling author, keynote speaker and strategic advisor to companies and governments worldwide. An expert in digital transformation and the intelligent use of data in business, Marr’s videos and interviews make many tech topics accessible to wider audiences.

♠️ WILD CARD

It’s not just writing essays or social media copy, in another great AI life hack move, a college student asked Chat GPT to get out of a parking ticket, and it worked!

🔭 LOOKING AHEAD

While sidestepping a hard yes-or-no (as noted by the headline), this article weighs the current evidence, and concludes that whatever the threshold, collaboration with AI is the best path forward.

📚 THE LONG READ

Want to dig into the details of how generative AI and large language models (LLMs) work -- but without too much tech jargon?

This is the guide you're looking for, part one of a three-part series by The Economist, explaining how AI will revolutionize our future.

The most relevant or most pressing concern for humans is not whether AI is intelligent when by itself and disconnected from people. It can be argued that as of today, we are more intelligent, more capable, and more creative with AI as it advances our cognitive capacities. Right now, it appears the future of humanity could be AI-teaming – a journey that is already well underway.