Amidst all the excitement around AI and Cloud, it is very essential to understand that AI is not just a silver-bullet or a panacea to any-and-all IT woes, but is a tool for effectively conducting a business aim. The objective plays an important role for AI to produce a tangible output.
The best way to understand the drawbacks in AI investment is through understanding it thoroughly. We need to first understand its context and the sectors it can be implemented. To detect the right AI solution it is important to have a crystal-clear understanding of the problem and aim to solve problems, accordingly. This is what many businesses have already learned through their cloud computing deployments. When first introduced to the mainstream, cloud computing was the ‘must-have’ technology. Many businesses have opted cloud with a lack of knowledge about where to use it. This is the main reason behind many early cloud deployments to fail. but nowadays cloud computing is a default option. Successful implementation of the cloud has increased the business scale immensely. It might not be surprising to say that the rise of cloud computing has allowed the AI sector to flourish with high investments into AI from the cloud industry. It is now becoming more sophisticated with powerful platforms and cloud investment propelling the industry to reach new levels. With cloud becoming more powerful, access into AI has become affordable and accessible to be implemented.
Cloud computing with AI may not be a revolutionary change, but in many aspects is an evolutionary one. Many organizations term it as a seamless integration with existing systems, which is gathering pace quickly. There are huge anticipations in the industry in which AI will drive cloud computing to new heights. Together AI and cloud computing will become the twin-turbo drive for engineering smarter businesses.