An overview by the Pitch Avatar team to help evaluate the future adoption of AI tools in the coming years.
Note: In this text, the term “artificial intelligence” is used in the broadest sense. It refers to engineering and software solutions designed for activities that typically require human intellect. In other words, it encompasses programs and robots for both physical and intellectual tasks that were once the exclusive domain of humans. Looking ahead, we are talking about solving problems that exceed human intellectual capabilities.*
The rapid development of AI solutions often fuels the imagination of techno-optimists, who dream of a fantastic future where artificial intelligence not only solves most of humanity’s problems but also drives an incredible leap in vertical progress. Personally, we don’t see anything wrong with this – quite the opposite, as we too are techno-optimists. However, when it comes to making forecasts for practical applications, it’s best to keep both feet firmly on the ground. Let’s try to figure out in which areas AI will begin to play a truly significant role in the near future (within 3-5 years), based on the signs we are already observing today.
Management of complex systems (Organizations, Enterprises, Institutions, and Communities)
Today, even managing something as simple as a family has become so complicated that it often consumes dozens of hours per week. So, imagine managing more complex systems.
In theory, all managerial tasks can be reduced to manipulating money and time. However, in practice, managers deal with dozens, even hundreds, of tasks and processes. Vacation schedules, timely delivery of production materials, renting office spaces, occupied/reserved/free seats, equipment maintenance/repair schedules, meeting departmental goals, safety training schedules, loan/bill payment deadlines, and so on. Delegating responsibilities doesn’t solve the problem, because, in the end, all critical information flows into a decision-making center, which “drowns” in a sea of tasks.
It’s no surprise that AI-based management solutions have already been developed and are being used, primarily aimed at automating and accelerating all processes. In the near future, AI managers will become key tools for planning every aspect of community/organization/enterprise activities. In addition to this, their function will be to develop optimal management strategies and monitor adherence to plans and decisions. The overall task setting and “final word” will remain with humans. But without widespread AI adoption in management, success in a competitive environment will be impossible. It’s worth noting that AI managers will likely also be in demand at the individual level, helping people manage their personal lives.
Examples of existing solutions: IBM Robotic Process Automation (RPA), DataRobot AI Platform, NUMR CXM, Domo.AI.
Healthcare
Medicine and everything related to it is traditionally considered a very “human” occupation. However, artificial intelligence is already being actively used in healthcare, and in the future, AI solutions will play an even more significant role. Specifically, the following areas will be most impacted:
– Diagnostics: Each year, more and more medical devices equipped with AI will be developed to assess health conditions and lab results. Eventually, universal AI devices will emerge, combining the functions of most existing diagnostic equipment. Additionally, AI diagnostic assistants will emerge, capable of listening to patients and conducting “examinations” through video cameras. These won’t replace doctors but will be able to recommend tests and specialists based on patient history and interactions. Furthermore, AI diagnostics will significantly improve the personalization of treatments.
– Telemedicine: The progress of medical equipment will inevitably lead to the creation of compact and affordable AI medical devices. In conjunction with AI diagnostic assistants, this will greatly enhance the quality of home healthcare, especially for individuals living far from hospitals or patients needing regular health monitoring.
– Working with medical databases: In the future, AI-based solutions will improve the efficiency of working with clinical data, medical research, statistics, digital medical records, and personnel files. These systems will not only store information and provide access to authorized specialists but will also analyze data to identify patterns and trends, alerting about potential threats to society or individual patients. They will also remind patients to undergo check-ups, follow medical advice, and keep them updated on healthcare-related decisions and news. AI archivers will also manage medical staff by providing relevant information, both public and personal.
– Patient care: One of the most promising areas of AI development is quality patient care. AI robots and medical devices will address the ongoing shortage of junior healthcare staff. These will include equipment for medical procedures and hygiene tasks, as well as versatile AI robots trained for various healthcare services.
– Surgery: AI surgery development is advancing in two directions. Conservative systems make a doctor’s actions more precise and help prevent errors (e.g., removing “shaky hands”). More advanced systems are designed to act autonomously. It’s logical to assume that AI surgical assistants will become widespread first. However, autonomous AI surgeons, capable of performing operations independently, are already being tested.
– Pharmaceuticals: Pharmaceutical companies are successfully using AI to develop new drugs. As the technology evolves, the role of AI pharmacists will become more significant, particularly in genetic research. AI pharmacists will also help tailor drug doses and combinations to individual patients, even producing medications based on personal needs and prescriptions.
Examples of existing solutions: IBM Watson Health, Enlitic, Aeo, da Vinci Surgical System.
Analytics and forecasting
This is one of the most obvious and promising areas for AI application. AI is already much faster than humans at identifying trends and patterns by processing and organizing large volumes of data, including statistics, research results, economic indicators, media publications, social media posts, reviews, and more.
AI’s analytical capabilities will continue to grow, and its insights and forecasts will become deeper and more accurate. It seems likely that, in the near future, AI analysis and forecasting will become indispensable in virtually every human activity.
Examples of existing solutions: Polymer, Google Cloud AutoML, Alteryx, Microsoft Power BI.
To be continued…
Wishing everyone success and high earnings!
