Business owners need to be wary of potential consequences that may come with adopting the wrong type of Artificial Intelligence. To assist in helping them making an informed decision, DigitalBiz has created five two-minute videos to help owners understand what kind of Artificial Intelligence app would best handle organization tasks and how it can positively affect their day to day operations.
For additional insights and to view the five videos, please visit https://digitalbiz.ai
Artificial Intelligence has the power to help you do amazing things – from aiding machine learning research on nuclear fusion, to controlling neural networks responsible for self-driving cars, controlling ai drone formations, enabling Amazon purchases and so on. Unfortunately, it can also be used for malicious purposes like scamming unsuspecting victims, producing malware, generating deep fake images and more.
The ongoing surge driving Artificial Intelligence implementation in business by 37% annually is no surprise given its significant capacity for boosting productivity – by an average of 40%!
But when you are choosing an Artificial Intelligence solution, it’s essential you ask two critical questions: which type of technology is best suited for the task at hand and what are the benefits and drawbacks of implementation?
For example, ChatGPT, one of the most popular ai tools , is a generative ai which can create new content for you, in volume, in minutes. But it’s not smart enough to know if your new content is accurate or if it answers questions Google searchers’ are asking about your product or service. Or is it just a waste of time because the AI is just throwing out word combinations?
By crafting content quickly, your staff will save time but often they’ll end up with zero engagement. This then leads to a snowball effect of wasted time as your staff attempt to debug the issue after it’s been distributed via hundreds of online outlets.
If you are taking a deep dive into the world of Artificial Intelligence, then the 4 main categories you need to think about are listed below. Each offers you varying levels of complexity and usability, and each has advantages and disadvantages which you’ll need to be take into account.
1. Machine Learning Artificial Intelligence
If you want to create a new Artificial Intelligence then your computer needs to learn. This takes an immense amount of power, knowledge and skill in the fields of machine learning, computer science, natural language processing and data science as well as Artificial Intelligence itself. Neural networks use machine learning algorithms that enable deep learning from already-available data sets such as nuclear fusion or human genome information. You’ll find the time to market will probably be lengthy, deep pocket financing will be needed and the odds of you succeeding are likely to be small. But if you do make it. you’ll probably generate huge returns!
2. Applied Artificial Intelligence
This takes machine learning out of the lab and into the business reality you know and love, allowing machines to handle your real-world dilemmas such as those in medicine, financial transactions, supply chain management, weather forecasting and so on.
Applied ai, has already been trained on specific industry data sets. This “off the shelf” deep learning makes it cost effective and impactful for your business to engage with as 80% of the heavy lifting has been done. However, it isn’t always completely dependable, and requires human monitoring for maximum success.
So applied AI pre trained neural networks are a great way for you to fill your time, budget and staffing gaps because they have specialized knowledge of your real-world needs. Be mindful however that the more niche your requirement the harder it’ll be to locate an Applied AI Technology with deep learning on data in your niche.
But in many cases, applied ai tools can come up to speed with an organizations existing data quickly. In general, staff will be able to rapidly engage with applied ai system tools with little need for machine learning, data science or neural network expertise.
3. Generative Artificial Intelligence
From generating text to making videos, ChatGPT and similar generative artificial intelligence systems like Google Bard can craft new content that never previously existed. No doubt you are already aware of it and most people are now using it as popular applications like Office 365 have already integrated its features.
Generative AI is best utilized when incorporated into an existing procedure that allows your staff to double-check for accuracy, as well as ensure the content is relevant! For instance, generating abundant new content in a short period can save you cash; however, if the content does not answer questions about your business that Google searchers are asking, nobody will read it. And if it is wrong, it will generate extra staff workload in correcting errors. In summary, generative AI simply delivers data as words and needs to be supported by your existing processes and procedures.
4. Artificial General Intelligence
This type of Artificial Intelligence is the apex of machine learning and natural language processing, replicates the complexity of the human mind, and can take on any challenge. It surpasses the most brilliant humans in nearly all aspects, giving rise to an entirely new type of being. Current AI models might look at the sales you made today and predict tomorrow’s numbers, while AGI will eventually be able to run your whole business. It is far off from becoming a reality and many view AGI with concern as a threat to humanity. A strong ai is not necessarily a responsible ai . Such advanced technology could be of significant benefit however.
When you are researching an AI to fill your time, budget and staffing shortages, it is essential to check how well it integrates with current processes and procedures. A quick pilot test can help you identify potential problems before investing too much.
As a rule of thumb, the more unique the challenge, the more expertise, time and financial committment will be required, and the greater the business risks. Good luck!
Adrian McKeon, DigitalBiz CEO states “ There’s no need to make a sudden leap. Just figure out which AI might boost a task you do all the time. If the task is data-driven, repetitive or making a prediction, AI will likely do it better, faster and cheaper. Do a small pilot test on that task to any pinpoint potential issues. If the test goes well, build from there.”
About DigitalBiz
DigitalBiz provides an applied AI “ content planning and operations” service. It combines multiple, expert applied AI technologies into a single, affordable, easy to use solution, which gives small businesses the technical capabilities of Fortune 500 companies.
Interested parties can access the newly launched videos at https://digitalbiz.ai
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