Why Reinforcement learning is not always a suitable solution?
Although RL is a powerful approach to AI, it is not suitable for all problems and there are several types of RL. Let’s ask 6 Questions before solving with RL type. Read more..
Although RL is a powerful approach to AI, it is not suitable for all problems and there are several types of RL. Let’s ask 6 Questions before solving with RL type. Read more..
The future of AI by 2030 is set to revolutionize various sectors, with trends like human-level AI capabilities, AI-human collaboration, and intelligence embedded in devices leading the way. Challenges such as deep fakes and the impact on employment highlight the need for ethical AI development. Additionally, AI’s role in climate change mitigation and environmental sustainability…
Artificial intelligence and cloud computing are the two most emerging technologies of the present era. Combined, they can create a revolution and improve the lives of individuals. But do cloud computing and artificial intelligence depend on each other? How do they facilitate each other? Or what are the drawbacks of applying AI in the cloud? Working AI in cloud…
AI intelligence is probably the most debatable and conversational topic and revolves around some myths which may have depicted questionable future of human society if Artificial intelligence technology can take over all human work and similar intelligence in future. But what is the reality behind them? Read on ….
Customer service plays a key role in brand differentiator in most of the businesses today. Advancement in Big data analytics has made life easy for professionals dealing with customer service. Furthermore, big data-enabled customer relationship management a holistic approach for today’s business. It has turned customer service more responsive and agile. Read more..
With the hype of Big data, different job roles have become a craze, and not to mention, data scientists and data engineers are two of them. To get value from Big data, you need both roles. However, only having a capable team of data scientists or data engineers on hand is not enough. To realize…
SRE vs DevOps is one of the most discussed topics in the IT world these days. Both the terms advocate automation and monitoring. Additionally, with a similar goal, they reduce the time during the fresh or change deployment to production without compromising the code’s quality. As per Google’s statement also, SRE and DevOps are not…