The future of cloud technology will be defined by AI. As more and more businesses begin to move critical systems to the cloud, they are able to gain more insights from cloud-based AI technologies.
Amazon, Microsoft and Google are in a race to unite AI and cloud computing by incorporating machine learning, deep learning and other AI functionality into their products.
The goal is to give developers all-new tools and the technology to build cutting edge applications.
The International Data Corporation predicts that the combination of AI and cloud computing will become the standard for cloud vendors. They predict that by 2019, 40% of digital transformation initiatives will use AI services; and by 2021, 75% of commercial enterprise apps will use AI.
An example of this can already be found in some industries. AI is now a public face of businesses, interacting directly with customers via chat apps, voice, and email in a customer service capacity.
Another vertical heavily relying on AI is the financial sector, where AI is used to predict market data, forecast stock trends, and manage finances.
The role of AI in cloud computing
In order to make the most out of AI it's important to go beyond training it to perform a single given task. Ultimately, long term deployment of AI systems is about raising it to act as a representative of the business in which it works.
As AI systems learn and make autonomous decisions, they have the opportunity to grow from a tool to a partner, coordinating and collaborating with employees and stakeholders.
In order to power advanced AI, applications need easy access to data, computing power and storage. This is why AI and the cloud are so fundamentally linked. The cloud allows AI to learn faster and work more effectively with big data, in turn providing greater value from cloud-based applications.
Teaching software to learn
Businesses must view AI as systems that can learn instead of systems that are programmed. The pace of deep neural network innovation allows companies to solve an entirely new set of problems.
Learning-based AIs can develop overtime to become collaborators and new members of the workforce. Virtual Personal Assistants (VPAs) are an example of how augmented insights from AI-powered applications improve decision based activities.
In a digital economy, where success is defined by customer experience, the factors that matter most to business are trust, intelligence, speed, personalisation, and scale.
Given the explosion of data from the Internet of Things (IoT) and applications, and the need for faster, real-time decision making, AI is well on its way to becoming a key differentiator and requirement for major cloud providers.
The agile and digitally savvy organisation of tomorrow will be powered by AI, leveraging augmented insights to rapidly create value, and deliver meaningful results.