With all the talk about artificial intelligence, a lot of people think that we are on the verge of a new era, in which humanoid robots capable of speaking and walking will invade the labor market at any moment.
While technology is moving in that direction, this scenario is still decades away, according to most forecasts. AI certainly impact the way we work today and will influence even more deeply the way we conduct business – until, finally, robots are our colleagues from work.
For now, however, artificial intelligence is able to highlight our own abilities and work with us through technology embedded in machinery, wearable devices, and others. These “coworkers” can help us accomplish tasks more efficiently.
As we move into this transition, we are expected to rely more and more on the decisions and directions of AI devices. They can process data in real time and reveal what our actions should be based on solid, measurable facts. Our short-term challenge is to discover how to accept technology as an extension of our team, as well as challenge and improve it for the sake of the business.
Those who face this new reality with optimism envision a future where human intelligence and intelligent systems will be intertwined in coexistence and will exchange information continuously so that one is better with the other. AI, therefore, can amplify human intelligence.
Here are fascinating ways in which artificial intelligence and human beings are already coexisting in the business world:
Technology drives the transformation of physical retail stores to enhance the consumer experience: the innovative Oak Lab tester mirror not only reflects the buyer’s image but is also a technology-driven interactive touch control shopping center RFID.
Consumers can customize their taster experience, ask store sellers for assistance, and even receive recommendations for other complimentary products. This technology is not designed to replace vendors, but to make their work easier and more efficient.
More efficient global logistics chain
With a combo of blockchain payments, mechanical vision and artificial intelligence, bext360’s mission is to “improve the global logistics chain for agricultural products.” The company is currently impacting the coffee, and small-scale farmers trade with its “suppl (ai)” solution for the entire grain chain, which makes it easier for farmers to get a fair price and be paid instantly for the product.
Coffee shoppers can quickly analyze grain quality through the “eyes” and help of a mobile robot. So the company app helps the farmer and the buyer negotiate a fair price. Using blockchain technology, the app and a cloud-based software record the origin of the beans and who paid how much for them. Wholesalers and retailers have the option to embed the API into their website, marketing, the point of sale systems, and tools to help manage the supply chain.
For the auto insurance industry, evaluating vehicle damage to handle claims is a complicated and time-consuming procedure that Tractable hopes to shift with its AI for specialized visual tasks. At the heart of any artificial intelligence, technology is the data that inform your decisions. In this case, the AI network studied a huge database of automotive complaints and police data.
If the tool analyzes the images and finds something objectionable, it issues an alert for the process to be reviewed by humans. The goal is to make the complaints process more agile and accurate for human representatives.
Software created by Starming uses automated learning to route employee issues to the right person. The software records the history of questions and answers and learns to apply them on current issues in order to find the right experts within the company.
There are many applications for this kind of learning, where machines retain the knowledge of key people to relieve specialists who need to respond to similar questions several times. The result, besides the good service to the employee, is the productivity gain.
In today’s corporate world, Baxter AI expects to take on many of the administrative tasks that delay professionals from many different areas. This artificial intelligence service can collect information from Google Analytics, SQL, Excel, and other databases to build reports that typically represent tedious tasks.
Now is the time to accept artificial intelligence systems like our new coworkers and trust them and their abilities to deal with predictive, intelligent and analytical technologies.