Cloud computing is massive frontier in its own right. Online activity has been redefined by the cloud, and it will come as no surprise that both the public and private sectors have eagerly adopted cloud data storage. But, like the fabled Wild West of yore, this technology is still being developed, with unknown changes over every horizon.
One of the ways that cloud computing is projected to grow is through artificial intelligence, another technology that has garnered recent attention. Many companies have posited that a fusion between AI and cloud technology has the capacity to usher in a new age of cloud computing. Recently, Aaron Levie, CEO of Box Inc., spoke about the company’s recent successes and mentioned that artificial intelligence would play a key role in their upcoming developments.
“We think that AI is going to be substantially powerful for the future of work, and we want to make sure we’re embedding intelligent experiences into everything we do and everything we build at Box,” said Levie.
Learning AI perhaps have the greatest potential to shake up the cloud sector. Machine learning has revolutionized the way that AI communicate with humans, respond to commands, and solve problems. This has manifested itself in a way that many already take for granted—voice-activated assistants such as Siri or Cortana. Cloud computer could potentially work in conjunction to help AI make better decisions and have access to more data. As an AI processes information from cloud servers, it can learn based on patterns that it finds and even send new data back into the cloud to help other machines learn as well.
Even beyond communication, other cognitive services such as image analysis can benefit from having a cloud’s worth of data to draw from. These improvements can advance security technologies with facial recognition software, and assist customers in a way that feels more in line with a human operator.
While cloud learning platforms, such as Google Cloud Machine Learning, provide the first steps towards the synergy of AI and cloud, but lack the deep learning frameworks that may be necessary for future developments. The next generation cloud computing model may be the AI First Cloud, as it is dubbed by CIO. Here, deep learning applications can be better implemented and run on a worldwide AI framework. Additionally, operational management tools could be revamped to allow for better control over the AI programs involved in infrastructure.
Ironically, future work with AI will require a lot of human input. While AI can process massive amounts of data through the cloud, it still makes mistakes, requiring data technicians to note errors and allow them to improve in the future. For example, IBM Watson, a popular AI cloud service intended to fight cybercrime, needs human input to learn about how to tackle different types of attacks. As cybersecurity is always evolving, it takes the efforts of numerous research to prepare Watson to do his job effectively.
The bottom line is that AI and cloud services are very synergistic—AI are able to process large amounts of cloud data, and the cloud becomes more useful when AI can complete tasks by request. An intelligent services revolution is on the horizon, and more experiments in cloud-based AI can help get there.