By the year 2030, Artificial Intelligence (AI) advances are said to increase global GDP by up to 14%, the equivalent of an additional $15.7 trillion contribution to the world’s economy. In the near term, around $6.6 trillion of the expected GDP growth will come from productivity gains, such as the continued automation of routine tasks. Over time, increased consumer demand for AI-enhanced offerings will overtake productivity gains and result in an additional $9.1 trillion of GDP growth by 2030. Artificial Intelligence latecomers will find themselves at a serious competitive disadvantage within the next several years.
Experts estimate:
Every task that takes a human up to 1 second to decide can now be automated. Physical activities in highly predictable and structured environments, as well as data collection and data processing, account for roughly half of the activities that people do across all sectors in most economies. Those kind of tasks is highly automatable by adapting currently demonstrated technologies, incl. Artificial Intelligence.
Deep learning in its ability to analyze very large amounts of high dimensional data can take anomalies detection and forecasting to the next level. It has successfully outperformed traditional models in areas such as transaction fraud detection, finding defects in production lines and even predicting server downtime.
Artificial Intelligence can optimize routing
of delivery traffic, improving fuel efficiency and reducing delivery times. In other example using sensors that monitor both vehicle performance and driver behaviour, drivers
receive real-time coaching, including when to speed up or slow down, optimizing fuel
consumption and reducing maintenance costs.
Neural Networks allow working with pictures as
if using (or enhancing) human visual perception. The use cases in businesses include tumour detection in healthcare, tracking UAVs in the military, emotion detection, and car plate recognition.
Forecasting based on underlying causal drivers of demand rather than prior outcomes can improve forecasting accuracy by 10 to 20 percent, which translates into a potential reduction in inventory costs and revenue increases.
It has also proven itself in customer churn prediction enabling to counteract before customers resign.
Artificial Intelligence is a powerful tool for personalizing product recommendations including through analyzing aggregated user data to understand individual customer preferences.
It has shown itself as a useful tool assisting sales specialists in lead generation.
In Two-thirds of the opportunities to use AI, deep neural networks can be used to improve performance beyond that provided by other analytic techniques.
Artificial Intelligence techniques have the potential to provide a boost in additional value above and beyond traditional analytics techniques ranging from 30 percent to 128 percent, depending on industry.
AI can help you to understand your business in a new way and make better- informed decisions.
Have the digital worker perform all of the repeatable tasks and make simple decisions in time that no human ever could.
Let your employees focus on really important and engaging part of their work bringing more value to the company.
Monitor the quality of your product
or service with state-of-the-art models and counteract issues before they even occur.
Constantly monitor your customers' satisfaction processing the sentiments
of feedback messages.
Add new AI powered features to your products.
No need to wait for business hours for tasks to be processed. Have everything ready before employees start their day
or engage with your customers in real- time, also out of business hours and on the weekends.
Employees gain time to develop contacts with customers. Artificial Intelligence technology deals with the processing of large amounts of data.
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