Every era, groundbreaking tech causes seismic shifts in how we live, learn, and work. Consider the personal computer, for example, which made quickly many office tools obsolete once it emerged. While the specifics of this tech are hard to predict, you can count on one thing. Companies that don’t adapt will fall behind.
We’re now on the verge of another game-changer. Artificial intelligence business solutions are radically changing how many companies operate. You can either be an innovator—adopting the latest AI business ideas—or risk falling behind the curve.
In this article, we explore four emerging artificial intelligence business ideas. Read on to find out more about these exciting innovations.
1: AI Security Systems
Security pros face many challenges, such as the need to make accurate threat predictions and respond to them in a timely manner.
Securing a company requires an accurate threat assessment. In the ideal world, you’d foresee threats and set up defenses. Sadly, humans aren’t always great at predicting.
Consider the Fukushima power plant disaster. The designers believed a 33-foot seawall could withstand any tsunami but then the wave that flooded the plant was 49 feet high. For this reason, you need something that can take any insight and make better predictions than even your best analysts.
Response time is crucial during security incidents, particularly during cyberattacks. In theory, turning off the network stops ransomware from encrypting data. In practice, it’s impossible—once ransomware hits, it’s all over in seconds.
AI systems can protect against this kind of disaster by predicting security threats. Through holistic analysis of many indicators, AI sees threats that even the most skilled human analysts would miss.
Often an AI system could analyze historical patterns and warn about worst-case disasters. It could even detect an imminent ransomware attack and shut down sensitive systems right away. This security system would be effective, but it needs to understand your organization’s unique needs.
Every organization has a different threat profile. A company creating military software may face state-backed cyber attackers, for example. For an office supply company, such drastic threats are less of a concern.
Over and Above AI
While general AI systems boost security, artificial diversified intelligence (ADI) can do so much more. ADI is a personalized method of AI learning that takes on-board the particular nuances of your organization. With this data, it can adapt to give you specific help, no matter what your mandate.
As one example: Insider threats (where company workers commit cybercrime) are a huge threat. After all, you can’t lock someone out of your system if they’re already inside.
If you have an ADI system that knows your company, it can start to to identify malicious insiders from their patterns of interaction. When someone behaves suspiciously, an ADI system takes note and can either inform IT personnel or the malicious actor in question. This then causes them to reconsider causing problems, saving you from many potential problems.
2: AI Compliance Assistance
Regulatory compliance is becoming more challenging for companies every year. The prevalence of digital data means all companies face complex cyber-compliance regulations. One of the most notorious rules is that companies collecting data in the EU, not only based there, must adhere to GDPR laws.
However, being compliant with these laws is tough. Companies handle growing data volumes and ever-changing regulations, and they can’t afford mistakes. That’s why there’s a growing market for compliance solutions.
AI and compliance are an ideal match. Similarly, artificial intelligence and business intelligence are great together too. As a result, many AI tools are emerging that use machine learning and automated monitoring to align company activities with the law.
For example, such a tool could offer compliance reports for a specific company, or provide real-time compliance alerts. This is another area where ADI systems have an edge due to their ability to understand the person or group in question.
For example, the GDPR states that companies should only keep personal data for as long as necessary. However, it doesn’t define what that means. It’s up to data controllers to interpret and apply the rule based on the unique context of their data processing activities.
ADI-based tools can automatically flag data based on how your company views necessity. This will make managing data and complying with the law much simpler.
3: Healthcare AI
As AI can analyze vast datasets at the push of a button, this makes it a powerful tool for diagnosing problems in complex systems such as the human body.
When talking to a GP, they typically search for only the most obvious illness indicators due to time constraints. AI systems, however, can take a different approach.
By considering thousands of indicators, AI makes much more accurate health predictions. It even helps detect diseases early that may not be apparent yet, too. This results in better patient outcomes and quality of life during recovery.
For example, at MIT, researchers used AI deep learning algorithms to identify HALICIN, an obscure molecule. The systems systems suggested HALICIN would be effective against antibiotic-resistant bacteria. Soon, they discovered that the AI was right, leading to new antibiotic research possibilities.
AI advancements like these will soon transform healthcare. Expect to see AI treatment that considers a patients’ medical history, lifestyle, and even genetic profile. This is only the tip of the iceberg, though.
ADI can also track things unrelated directly to health. For instance, it can be paired with wearable fitness trackers, journals, and even calendar events. These then give doctors insight into patients’ lifestyles and help them work out the best steps to ensure patient health.
4: AI-Assisted Risk Forecasting
Being successful in business is all about taking risks.
Yes, being knowledgeable can help you make smarter investments. However, things are always too complex to eliminate all potential challenges. Even the most astute investors have lost money because an event occured they could not have predicted. At the same time, the fear caused by surges or troughs in markets can have an emotional impact that causes unwise actions.
AI agents using the Large Personalization Model (LPM) can change risk assessment for the better. While AI can’t predict the future, it can evaluate whether someone appears to be acting from a position of emotion, or is thinking clearly. It can then recommend people step back from an investment if necessary.
AI systems can also assess hundreds of thousands of data points in global markets and make judgments free of emotion themselves. AI never wants to invest out of fear of missing out, nor does it feel the urge to panic sell. This allows for a unique perspective on business risks.
The best business risk systems will also use an ADI approach to address every company’s unique risk appetite. It can either leverage risks or insulate you from them, depending on your preferences.
The Best AI Business Ideas Will Make AI Personal
While early computers were impactful, they only changed the world when they became personal computers. The same holds true for AI systems.
ADI-based AI business solutions will transform productivity by offering tailored AI experiences. This means that AI business ideas involving personalization, such as MindOS, are destined for success.
We were founded by a winning combination of former Meta executives and top AI researchers. Our AI does everything from building you a dynamic, personal UI to empower a personalized conversation. Both MindOS Studio and Mebot offer multi-modal interaction and leverage ADI to help you succeed.
Try it free today and see what MindOS can do for your company.
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