Despite all the drama at OpenAI, one thing is for sure: AI is here, and executives are doubling down on their investment in AI technologies throughout every area of the organization.
According to a recent study by Accenture, C-suite execs are planning to increase investments in everything from customer-facing divisions such as Customer Service and Marketing to operational areas such as Supply Chain, Manufacturing, and R&D—as well as administrative areas such as Finance, HR, and Legal.
The arrival of AI, specifically generative AI and large language learning models (LLMs), has proven to be a huge productivity booster when used well. Users were found to be up to 40% more productive when using AI compared to a control group according to a recent Harvard Business School study.
Tasks that are repetitive, or where the input and output can be easily interpreted by AI, are great places to leverage AI. A few recent examples:
Rapidly ideating on titles for blogs:
Beyond what ChatGPT can do on its own, AI is being integrated into other tools to make folks more productive and more capable.
I am by no means an artist, but with some simple prompting I can generate artwork that would be impossible for me to replicate with my mediocre Photoshop skills.
Seasoned and junior software developers alike can also use AI for enhanced productivity.
Github launched a new service called Copilot that allows developers to autocomplete functions by having AI interpret the name of the function. This example may need some editing, but for simple functions or repetitive statements, it can be a huge time saver.
These are just a couple of examples that scratch the surface of how AI can and is making people more productive—and we’re just getting started.
Pretty detailed, right? More information than the simple tiger prompt with explicit instructions for how to create a map of the U.S.: colors defined, borders defined, and what “regions” to create based on a list of states. Now here’s the output:
Not exactly as outlined. While AI did a great job understanding that I wanted to see a map of the U.S., it missed hard on the details about the look and feel, as well as the overall information to be represented. It did make up some entertaining state names though (looking at you East Indiania). While the prompt was very detailed, AI was still basing its output on a training set of data inputs, likely including different maps.
Or how about this example of a different kind of “error” in a summary of reviews from Amazon that Marco Arment pointed out.
While AI did its job of summarizing user reviews, it ultimately wasn’t very helpful to the end-user. More context for how customers were divided on the features could have made it much more useful. AI didn’t think to include that as it just summarized what it saw across multiple reviews.
If you’re using AI to boost your productivity, remember:
So, what’s in store for the next year? Lots!
According to an Infosys study on Generative AI, companies in the U.S. and Canada are expected to increase their investment in Generative AI by 67% next year. Look for AI to continue to be at the forefront of tech and business news as companies continue to increase their spend.
Along with companies investing more in their own solutions and building AI into their products, OpenAI introduced GPTs, which allow anyone to build a custom version of ChatGPT for a specific purpose. Look for an explosion of custom GPTs in 2024 similar to the boom in new smartphone apps when Apple launched the App Store in 2008.
On top of all this, consumer expectations will continue to grow as people get used to AI and start to expect it as a part of their everyday experience. Everything from chatting with AI to resolve customer service issues to helping them find the best products faster by summarizing user reviews.
So buckle up, we’re just beginning to see how AI will forever change our lives.
Ready for more peace in your marketing plan? Just give us a call or fill out the form and we’ll get back to you shortly.
175 Sully’s Trail
Pittsford, NY 14534