Driving the Future for Enterprise Mobility
AI has traversed a long journey, helping busireal-life problems. nesses solve numerous With remarkable progress in deep learning and natural language processing, industry giants like Google, Amazon, Apple, and Microsoft have already set the pace for future possibilities of AI in businesses.
According to a Gartner report, by the end of 2021, around 40 percent of all new enterprise applications implemented by the service providers would include AI technologies. In the last 10 years, companies across the globe have harnessed the power of mobile applications to become faster, easier, and more efficient. But the recent addition of AI is allowing everyone to think beyond these technologies, to overcome limitations and minimize the probability of errors.
Enterprises are extensively using smartphones with applications and other capabilities for businesses. In the last few years, smartphone manufacturers have started adding AI to enhance device efficiency. These phones are capable of understanding users’ habits to build app priority and rearrange apps as per user preferences. Also, they manage resources by prioritizing CPU, RAM and ROM to optimize device performance and close memory exhaustive apps running in the background.
Automatic reasoning is another subfield of AI which is helping enterprises to reason automatically. For example, Uber uses Automated Reasoning to optimize routes and direct the passengers to their destinations faster. The AI algorithm picks up data from Uber drivers who travel similar routes, understands the patterns and saves it for future trips.
All these together clearly depict how the future of enterprise mobility is strong with the help of artificial intelligence.