According to forecasts by Tractica, AI will account for as much as 50% of total public cloud services revenue by 2025. In a day-to-day living, those who make use of digital assistants like Siri, Google Home, and Amazon’s Alexa may not realize that they are utilizing AI and cloud computing together.
According to forecasts by Tractica, AI will account for as much as 50% of total public cloud services revenue by 2025. In a day-to-day living, those who make use of digital assistants like Siri, Google Home, and Amazon’s Alexa may not realize that they are utilizing AI and cloud computing together.
It is undeniable that in many ways, AI and cloud computing make the perfect match for data-driven innovation. Especially in a world where data is the new oil, AI’s cognitive capabilities and machine learning thrive, become scalable, and quickly accessible in a cloud environment.
On a business perspective, AI capabilities are working in the cloud computing environment to make organizations more efficient, strategic, and insight-driven. With more and more companies embracing cloud-based solutions, many will adopt AI to make smarter and more precise deliverables.
Everything has changed. “Things aren’t going to be the way they were,” says, an IEEE member, and cloud and emerging technologies lead at Centric Consulting. The demand for interoperability is higher as organizations seek to deploy hybrid solutions.
Powering these solutions are AI and IoT. In light of the increasing number of connected devices and new opportunities for pandemic related uses and beyond, the intelligent use of data and information is necessary.
When AI is paired with IoT, simulating intelligent behavior is made possible to make informed decisions not impacted by human factors. Thus, the tandem innovation of both AI and IoT causes more productivity and accuracy. Later on, it can achieve mass adoption as AI becomes more intelligent and robust when processing different variables within devices.