press release
Published July 6, 2023
AI is haunted by a ghost, the ghost of hype. AI alludes to human capabilities. But most “AI solutions” are far from achieving them. It also fails to answer key questions such as what value AI can add to the business, how and what the costs and risks are.
DigitalBiz’s new video helps owners avoid the hype and seek a low-cost approach to clearly demonstrating the potential of AI in their business. It combines AI and human experience to create AI solutions fine-tuned for specific use cases.
To watch the video, please visit https://digitalbiz.ai.
Major advances announced every day suggest that “AI trains” will leave stations and companies will have to rush to board or be left behind. Doing nothing is not an option, but in reality AI is a blanket term that oversells itself and can mislead cautious administrators and lead to high deployment failure rates.
Most practical use cases of AI improve existing business processes in a direct way. The term “AI” conjures up an end-to-end process, but it is not a mechanism.
AI is a focused set of technologies, each with its own benefits and uses. They have a high level of accuracy, amazing speed, an ability to learn from their mistakes, and an ability to rely on humans to learn from them.
Until AI follows the experiential learning curve of humans, it will make mistakes. AI needs time to absorb human experience in business before it can be fine-tuned for specific use cases.
The problem for business owners is deciding whether to get involved, identifying use cases, and choosing which AI to use. Ignore AI and your business will be left behind. Choosing the wrong AI can have costly repercussions. If done right, her productivity could increase by over 40%.
Start with your use case. Identify repetitive or predictive routine business tasks that require data entry. AI will probably perform such tasks better, faster, and cheaper.
Select a task to tackle a quick and easy AI pilot test. Failure occurs. If AI can’t handle it, throw in humans to fill in the gaps. Calculate the gain by comparing the before and after performance. Then repeat.
All businesses are different. But most of the time, you’ll want separate, discrete, data-driven iterative and predictive tasks as part of the process. Various Applied and Generative AIs are used to implement tasks. Leverage humans to improve the AI learning curve and fill process gaps. AI learns from human edits over time, increasing the level of process automation.
In practice, of the three types of AI: Machine Learning, Applied AI, and Generative AI, most companies use the last two.
Machine learning algorithms learn from exotic data produced by things like nuclear fusion and dark matter analysis, but this is very expensive, has a high failure rate and is very dangerous.
Applied AI is a pre-trained solution for tasks such as marketing analytics and supply chain processing. It tackles common tasks during implementation, but then needs to learn from staff modifications to fine-tune performance for that particular business.
Generative AI (such as ChatGPT) creates new content that didn’t exist before. At first, it throws in data in the form of word, image, or sound combinations, and I don’t know if it’s accurate, relevant, or wasteful. It learns from staff edits over time to maximize accuracy and relevance, and fine-tune it for specific use cases.
The lesson for all adopters is that AI is not ready for prime time yet. Applied AI excels at performing data-driven repetitive and predictive tasks. Generative AI creates original content. However, both require time to learn from human experience and fine-tune performance.
For the next few decades at least, we have a future where the best AI capabilities are combined with the best human experience. The following example combines Applied AI, Generative AI, and human insight to automate common content planning and operational processes.
Tasks include planning, coordinating content, analyzing hot topics, predicting content performance, authoring, publishing, and distributing. All tasks except content creation are data-driven, repetitive and predictive. Applied AI runs them. Human corrections are also available to fine-tune it to suit your business needs.
ChatGPT creates content but lacks emotional understanding. It learns with every human edit and is fine-tuned to create content that truly connects with people and maximizes engagement.
In summary, the applied AI creates a plan of hot topics to write with human corrections. Hot Topics Feed ChatGPT generates unique content and then absorbs human editing until it mimics the tone, style, and emotional understanding of the writer. It is currently being tweaked to create future content. Applied AI processes content with the help of humans, publishes it to multiple platforms, and engages consumers.
This is not an “end-to-end” process as the term AI implies. Creating a process always requires a human to combine individual tasks. But it’s not uncommon for his productivity to improve by 40% or more and save a lot of resources.
Adrian McKeon, CEO of DigitalBiz, said, “Don’t overdo it or spend too much money. Choose jobs that require data entry, are repetitive, or predict the future. AI will probably be more skilled. Do a small pilot run.”
About digital biz
With DigitalBiz, even small businesses can take advantage of advanced AI technologies and services typically reserved for larger organizations. They get the ability to create, organize, and distribute content without spending money or investing significant time. It’s an efficient and affordable way to start leveraging AI for business success.
For those interested, you can access the newly published video at https://digitalbiz.ai.
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