TECHNOLOGY SIMPLIFIED

CLOUD COMPUTING Demystifying the Cloud A Deep Dive into Cloud Computing Cloud computing has revolutionized the way we access and utilize computing resources . It has shifted the paradigm from physical servers and software installations to a virtualized , on - demand model . This essay delves deep into the world of cloud computing , exploring its core concepts , deployment models , service models , and the impact it has on individuals and businesses alike . At its core Cloud computing is the delivery of on-demand computing services – including servers , storage , databases , networking , software , analytics , intelligence , and more – over the internet . These services are offered by cloud providers like Amazon Web Services ( AWS ) , Microsoft Azure , and Google Cloud Platform ( GCP ) . Users access these services via a web browser or an API ( Application Programming Interface ) on any device with an internet connection . The " cloud " metaphor refers to the vast and seemin...

 DATA MODERNIZATION SERVICES What is a data modernization ? Data Modernization is a strategic approach and often describes the data transfer from legacy databases to modern databases . Data platform modernization is critical to turning large volumes of data, much of which may be useless when siloed , into actionable insights that drive results . As the demand for data modernization services has grown , the data modernization market size has swelled to unprecedented levels . More and more companies are realizing the value of modernizing data and , as such , are seeking solutions to help them understand and make good use of their data . You can have all the data in the world at your disposal , but if you don’t know how to use it , it won’t do your business any good . Understanding data modernization trends is a great way to learn more about data and what the modernization process looks like . One of the trends to watch for in 2022 and beyond is uniform implementation , whic...

     REINFORCEMENT  LEARNING What is reinforcement learning ? Reinforcement learning is a machine learning training method based on rewarding desired behaviors and / or punishing undesired ones . In general , a reinforcement learning agent is able to perceive and interpret its environment , take actions and learn through trial and error . How does reinforcement learning work ? In reinforcement learning , developers devise a method of rewarding desired behaviors and punishing negative behaviors . This method assigns positive values to the desired actions to encourage the agent and negative values to undesired behaviors . This programs the agent to seek long-term and maximum overall reward to achieve an optimal solution . These long - term goals help prevent the agent from stalling on lesser goals . With time , the agent learns to avoid the negative and seek the positive . This learning method has been adopted in artificial intelligence ( AI ) as a way...

BIG  DATA  ANALYTICS WHAT IT IS AND WHY IT MATTERS Big data analytics examines large amount of data to uncover hidden patterns  , correlations and other insights . With today’s technology , it’s possible to analyse your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions . History and evolution of big data analytics : The concept of big data has been around for years ; most organizations now understand that if they capture all the data that streams into their businesses , they can apply analytics and get significant value from it . But even in the 1950s , decades before anyone uttered the term “ big data , ” businesses were using basic analytics ( essentially numbers in a spreadsheet that were manually examined ) to uncover insights and trends .  The new benefits that big data analytics brings to the table , however , are speed and efficiency . Whereas a few years ago...

  COMPUTER VISION WHAT IS COMPUTER VISION : Computer vision is a field of Artificial Intelligence (AI) that enables computers and systems to derive meaningful information from digital images , videos and other visual inputs - and take actions or make recommendations based on that information . If AI enables computers to think , computer vision enables them to see , observe and understand . Computer vision works much the same as human vision , except humans have a head start . Human sight has the advantage of lifetimes of context to train how to tell objects apart , how far away they are , whether they are moving and whether there is something wrong in an image . Computer vision trains machines to perform these functions , but it has to do it in much less time with cameras , data and algorithms rather than retinas , optic nerves and a visual cortex . Because a system trained to inspect products or watch a production asset can analyze thousands of products or processes a minute , no...

MACHINE LEARNING INTRODUCTION : Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words : Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience. In order to enable the software to independently generate solutions , the prior action of people is necessary. For example, the required algorithms and data must be fed into the systems in advance and the respective analysis rules for the recognition of patterns in the data stock must be defined. WORKING : Machine Learning works in a similar way to human learning. For example, if a child is shown images with specific objects on them, they can learn to identify and differentiate between them. Machine Learn...