New Video Guide Launched on Applied Artificial Intelligence Apps For Business

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A hidden, insidious issue awaits the unwary adopter of artificial intelligence. The costly pitfalls of using the wrong ai in business. DigitalBiz’s 5 new two minute videos helps business users get beyond the hype to see how the correct ai app can benefit their operations.

Business owners need to be wary of potential consequences that may come with adopting the wrong type of Artificial Intelligence. To assist in 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 operations.

For additional insight and to view the five videos, visit https://digitalbiz.ai

Artificial Intelligence has the power to 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 choosing an Artificial Intelligence solution, it’s essential to 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 in minutes. But it’s not smart enough to know if the material is accurate or if it is relevant to searchers’ queries or a waste of time. It just throws out word combinations.

By crafting content quickly, staff save time but often end up with zero engagement. This then leads to a snowball effect of wasted time as they attempt to debug the issue after it’s been distributed via online outlets.

For those taking a deep dive into the world of Artificial Intelligence the 4 main categories to consider are listed below. Each offers varying levels of complexity and usability, and each has advantages and disadvantages which need to be taken into account.

1. Machine Learning Artificial Intelligence

To create new Artificial Intelligence a 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. The time to market can be lengthy, financing required is significant and the odds of succeeding can be small. But companies which succeed may generate huge returns.

2. Applied Artificial Intelligence

This takes machine learning out of the lab and into reality, allowing machines to handle 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. Such “off the shelf” deep learning makes it cost effective and impactful to engage with. However, it isn’t always completely dependable, and requires human monitoring for maximum success.

Applied AI pre trained neural networks are a great way to fill in time, budget and staffing gaps due to their specialized knowledge of real-world needs. It can be difficult to locate an Applied AI Technology with deep learning on data in a specific 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 other generative artificial intelligence systems like Google Bard can craft new content that never previously existed. Many 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 humans to double-check for accuracy, as well as ensure the relevance of the output. For instance, generating abundant new content in a short period can be quite advantageous; however, if the content does not answer questions Google searchers are asking, it will go unread. And if it is wrong, it will generate extra workload in correcting errors. Generative AI simply delivers data as words and needs to be supported by 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 today’s sales data to predict tomorrow’s numbers, while AGI will eventually be able to manage companies as a whole. It is far off from becoming a reality and many view AGI with concern. A strong ai is not necessarily a responsible ai . Such advanced technology could be of significant benefit however.

When researching an AI to fill time, budget and staffing shortages, it is advisable to check how well it integrates with current processes and procedures. A quick pilot test can help 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.

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

Source: http://newswire.net/newsroom/pr/00000000-https-digitalbiz-ai.html