 | |
|
Artificial Intelligence (AI) is rapidly transforming our world, raising major questions for individuals and businesses, like:
- Will AI replace the cloud?
- Should Cloud Engineers be worried?
- Should you switch your cloud career to AI?
The short answer is NO. Let's learn the reasons below.
5 Key Reasons Why AI and Cloud Computing Will Grow Together
1. AI Leverages Cloud Infrastructure:
One fundamental reason AI won't replace the cloud is its dependence on cloud infrastructure. AI relies on the humongous computational power and storage capabilities provided by the cloud. As AI adoption continues to rise, the importance of the cloud will only grow stronger and reach new heights. This indirectly means, a huge opportunity for Cloud Engineers and Cloud Architects.
2. AI Enhances Cloud Offerings:
Rather than replacing cloud computing, AI will act as a catalyst for improvement. Cloud providers are already leveraging AI to introduce new capabilities, helping businesses to solve complex problems which were very challenging before, but are now possible with just a few easy-to-use Cloud APIs. A few examples include Text-to-speech, Image-to-text (OCR), Object-recognition, and more. AI and the Cloud will continue to grow at the same pace together with time.
3. Human Expertise Remains Crucial
Although AI has advanced quite significantly, human expertise will be irreplaceable. While AI simplifies processes, enhances efficiency and automates routine boring tasks, a human touch is essential for oversight, decision-making and approval. The coexistence of AI and human control ensures a balanced and responsible approach to technological advancements.
4. Addressing AI's Ethical Concerns
The ethical dimensions of AI, including biases and potential pitfalls, underscore the need for human intervention. Fundamentally, how AI works is primarily dependent on the data it has been trained on. Data can always have outliers which can cause mistakes in the learning process. Hence AI might generate output that has biases or crosses ethical boundaries. In scenarios where ethical considerations are critical, human judgment becomes a crucial safeguard, preventing unintended consequences.
5. AI's Imperfections and Learning Curve
AI can certainly do so many things that have stunned everyone. Since AI is trained based on data, it can certainly go wrong, because the data can have mistakes. Remember, "Artificial Intelligence" is after all "Artificial", i.e., man-made and can have flaws and inaccuracies. With time it will definitely get better and better, but until then, there's a lot of scope and opportunity for cloud computing and AI enthusiasts to work together!
Connect with me on LinkedIn for further insights and updates! You can find me on my LinkedIn Profile. Looking forward to connecting!
Kickstart your cloud computing journey with our free guide and Subscribe to our weekly newsletter for exclusive insights and updates