Rise Of Machines - New Cloud Trends Setting the Future
Over the last decade rise of cloud-based applications, terabytes of storage have revolutionised the Internet. Whether it is sharing photographs, creating balance sheets or managing virtual teams, as a consumer we have started using cloud-based services for everyday tasks. There is no doubt cloud-based applications offer many benefits like storage, email collaboration, streaming multimedia, sharing and the list goes on.
Cloud technologies are still emerging, many infrastructure-based services emerged in the last decades and have standardised the services. However, boundaries between cloud computing and other paradigms of computing have a blurred line. Cloud-based architectural patterns are still emerging. Technology architects are constantly trying to establish the best practices to design, develop and manage cloud-based applications.
Artificial intelligence, Big Data, Machine learning, Data Centres and quantum computing are going to set future trends in cloud computing.
AI and Machine Learning:
AI began with the idea of creating machines that imitated humans. Futurists predict very soon AI-based machines outpace human intelligence. Machine learning techniques are becoming omnipresent nowadays. So far the most successful machine learning-based applications are those that have fairly automated decision-making processes. Google search engine easily understands our mistyped search terms and pulls up relevant results. Alexa and Google Home wait for our instructions at home and converse smartly. AI-powered navigational cars and trucks, automated finance tradings, Detecting fraudulent activity in credit card transactions etc. are the leading examples of how ML-based applications are setting the future trend. No doubt AI and Machine learning will help to create applications will have wide expanse in cloud computing. By using artificial intelligence, computing platforms are growing their efficiency. It now gives agencies the ability to automate and manipulate their strategies intelligently.
Big Data
All business today need an automated system full of analytical and operational capabilities to address the needs of consumers. For example, media companies (like JioTV, Amazon Prime) can deliver personalised content through setup boxes or players. Companies like Amazon, Flipkart are analysing visitors data and are segmenting users into groups with similar preferences. This results in emerging new business models for monetization or recommender systems or detecting transactions as fraud detection. Applications like Hadoop, Spark can handle a large amount of data and offer cloud-based Big Data analytics-based solutions.
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Data Centres
Big Dataware houses are capable of dealing with voluminous as well as the velocity of data. Today Dataware houses are not merely reporting dashboards and KPI based. Big Data analytics, Cloud and AI technology have added new dimensions to it and make it ready for Industry 4.0. New datacentres will be AI-ready, data-driven, cloud-based with flexible storage options and economically available to small businesses also.
Quantum Computing
Quantum computing appears to be a promising technology that can give a quantum leap in terms of speed and complexity. Unlike classical digital computers, based on binary systems, quantum computers use Q-Bits (Quantum states) to perform computing operations. IBM and Google lead in building quantum computing-based solutions. Last year (Oct 2019), Google claimed to achieve 'quantum supremacy' outperforming supercomputers. It's Quantum processor called Sycamore was able to perform a specific task in 200 seconds that would take the world's best supercomputer 10,000 years to complete.
Natural Language Processors (NLP)
NLP is challenging and facilitates the language interaction between humans and computers using natural languages such as English. NLP machines are trained to decipher text like humans do. Techniques like speech recognition, sentiment analysis, translation, auto-correction of grammar in text files prove to be useful for dissecting huge volumes of text information. NLP with deep learning can prove to be a game-changer for future machines.
Internet of Things (IoT)
IoT devices are simple devices that can connect to the internet and are able to collect and exchange data. An IoT can be a temperature sensor in a refrigerator or internet-enabled oximeter which reads oxygen level reading and sends it to the respective Hospital cloud centre. The uses of IoTs are limitless. By 2025, it's predicted that there may be more than to 21 billion IoT devices, thus building a global IoT ecosystem. Smart Home automation, wearable devices, digital energy meters have already created a market in the global world. In coming times, IOT-enabled service bots will manage your home and office more smartly.
Nobody can predict what will the cloud look like in future. There is no doubt the above said technologies will prepare us for the future!
About the Author
Divij Handa, studying at University School of Information & Communication Technology, GGS Indraprastha University, Delhi, India. He wants to pursue his career in machine learning, artificial intelligence and cloud computing.
