AI is reinventing possibilities in the workplace across every industry. From allowing companies to remain lean while onboarding hyper-accurate customer service software to enabling businesses to update their products and services more frequently, AI is creating a new era of innovation.
Whether it saves time, efficiencies, or data collection and analytics, companies who are early adopters of AI solutions will have a significant advantage in their respective industries. Using a company like Capacity can provide you with the AI insights and know-how to ensure you remain an early adapter and gain the competitive edge that separates you from the competition.
AI in healthcare is already a massive success as we’ve already witnessed robotics assisting medics with drug administration, surgery, administrative tasks, image analysis, drug discovery, and more. In the future, AI and machine learning will surely take healthcare to a whole new level. Below are a few ways researchers believe AI will revolutionize healthcare by 2030.
By integrating AI and predictive analytics, medical practitioners can understand the root cause or different factors that influence human health. And no, we’re not just referring to the identification of the medical conditions that are inherited.
AI predictive care will go deep and personal to note and assess factors such as where you were born, where you work, what you eat, the air pollution levels in your location, etc. By 2030, healthcare systems will anticipate the risk of an individual developing a chronic disease and recommend preventative measures before the condition worsens.
The rate of burnout among staff in the clinical field is frightening. Clinicians bear too much workplace stress in trying their best to help as many patients as possible find relief using limited resources. But that’s bound to change with the current AI-driven transformation of healthcare.
By 2030, AI-enabled predictive healthcare will help reduce the waiting periods, enhance workflow efficiencies, and ease the current administrative burden. As more clinicians adopt AI into their healthcare systems and operations, they’re equally entrusting the technology to enhance their skills in such areas as diagnosis and surgery.
By 2030, hospitals will no longer be big buildings providing care for an endless list of diseases. Instead, healthcare institutions will prioritize severely ill patients or highly complex procedures. That means less urgent cases will be monitored and treated remotely and on small hubs such as retail clinics, specialist treatment clinics, and same-day surgery centers.
You’re probably wondering what will AI have to do with all these? Well, the numerous locations will be interconnected into one digital infrastructure called centralized command centers. They will use AI to review clinical and site data within the network, monitor demand and supply, identify high-risk patients, and more.
Logistics is another significant industry that will benefit from AI in the future. On top of the current achievements already realized, such as GPS tracking, drones, and data analytics, AI is expected to bring a massive change in the logistics and supply chains sectors. Below are a few ways AI will transform the industry in the future.
Smart road technology is currently being tested, and it won’t be long until we see its full implementation. AI integrates with other transformative technologies such as big data and the Internet of Things (IoT) and connects with physical infrastructures like solar panels and sensors to make driving safer, more efficient, and in-line with government objectives of going green.
In essence, smart road technology will connect to drivers’ smartphones to provide real-time traffic alerts, potential hazards, emergencies, or any other disruptions that might cause logistics or supply chain interference.
As the rapid development of these AI-driven cars continues, it’s only a matter of time before they enter the commercial space. Once they do, the logistics industry will be one of the top beneficiaries.
There’s no doubt that self-driving AI cars will eliminate human errors in the logistics space. But the only catch is that it may take a bit longer until the autonomous fleets replace the cargo drivers. Why so? Engineers must devise means of eliminating the possibility of lethal accidents due to self-driving software or hardware malfunctioning. Plus, logistics companies will also need to invest in retraining programs to upskill the workforce to prepare for the future of autonomous work.
The automated and intelligent warehousing system is still in the final stages of development. Upon full completion, it will ease the moving, lifting, sorting, packaging, and transportation of ordered items. Warehousing automation will go a long way in improving space efficiency, eliminating errors, and reducing time waste.
It’s also forecasted that intelligent and automated warehousing will revolutionize data collection and processing through computerized processes. Soon, computers will be capable of identifying and organizing inventory as well as overseeing quality control. Plus, if a company has two or more warehouses, the AI systems will be able to communicate with each other to devise appropriate logistical solutions.
In the future, AI will most likely transform marketing strategies, especially those relating to sales processes, business models, customer service, and customer behavior. Here’s a more in-depth illustration of how AI is likely to benefit retail and marketing processes in the future.
A considerable number of salespeople still bank on telephone calls to facilitate their sales processes. But that inefficient approach will soon be a thing of the past when sales teams instead get assistance from AI agents to monitor conversations in real-time.
For instance, thanks to AI’s advanced voice analysis techniques, it will be possible to judge from just a customer’s tone that something is bothering them. After that, the AI system will provide a real-time solution to guide the salesperson’s future approaches.
In the present business model, online retailers await customers to place their orders. Then, the retailers make shipping arrangements for the ordered products. This is the shopping-then-shipping model.
But that may change in the future when retailers fully incorporate AI and machine learning into their systems. The technology will enable online retailers to predict what customers will be shopping for. In other words, retailers will use AI to analyze customer preferences and shopping patterns, then ship items without there being a formal order. Customers will then have the option to accept or return the orders they don’t need.
With all these developments and possibilities, it is safe to say that AI is the future of work. These are just a few industries and processes that are likely to benefit from AI-powered operations in the future. Others include entertainment, media, manufacturing, banking, cybersecurity, customer service, etc.
However, there are some concerns about AI that raise a few eyebrows. People are craving workplace satisfaction, which has since been compromised by introducing non-human machines and systems. There’s also the aspect of job security, with the threat of AI robotics replacing almost every function. The good news is that most of these AI challenges have solutions that companies can apply to restore confidence.
The sooner you begin exploring the possibilities artificial intelligence can bring for your company, the better.