Artificial intelligence is software that performs tasks without human intervention or minimal intervention. To achieve this, developers and data scientists implement machine learning (ML) processes. These are essentially complex algorithms that teach machines various learning techniques.

A notable sub-field of ML is deep learning (DL), which has been said to significantly aid the development of various autonomous capabilities of AI..

With AI and ML advanced algorithms, banking sectors use NLP to automate the various processes. The procedure includes document processing, analyzing, and activities related to customers for hassle-free services. The banking industry is one of the critical sectors for more than decades, and lots of transactions take place at every moment. And it is always a huge challenge to have everything on the record without a series of automation processes..

Many businesses struggle to make the right decisions, even with having experts in different fields, despite business goals and objectives. With the massive database, it is often difficult to classify and make accurate decisions with predictive analytics. Therefore, decision trees are one of the most sought-after algorithms for effectively making critical decisions. It does not mean that the algorithms are complicated, but they are understandable to others..

Language is very important for communication, it works like a tool. According to a google search, there are 7117 languages that exist in the world. But all these languages are used by humans only and in this digital world, only humans are not interested in communicating with each other only, since the development of machines. And the start of the digital world is because of computer invention. Today we all can work with the computer very efficiently.

But in the beginning, the computer was vast and very fast as today, because it was not able to process our language so it landed to miscommunication. This is time when Natural language processing comes into the picture..

Google Cloud offers a broad set of tools for disaster recovery (DR). A key part of any disaster recovery setup is the data - how will data be replicated to a DR site? When disaster occurs, how will you ensure your data is in sync, and how can you restore your data and meet your RTO? Rean on to learn about these practices.

High performance computing (HPC) enables you to leverage parallel processing for performing complex calculations. You can do that on-premises or in the cloud. All top cloud vendors, like Azure, AWS, GCP, and IBM, provide HPC offerings. This article explains what is HPC, why it’s important, what is the difference between HPC services, and what are the benefits of using cloud-based HPC.

Amazon Web Services (AWS) offers dedicated cloud computing services. Their Artificial Intelligence (AI) services are fully managed and require no machine learning (ML) skills.
This article explains AI and ML concepts and provides a review of the AI services offered on AWS..

When you’re building a big data solution, there are many open source components you can choose from. Everything from whole platforms to individual libraries are available, depending on your needs and expertise.

Many of these tools can be freely used regardless of your end product or organizational structure. However, some are restricted by team size, organization type, and purpose..

Most companies have a wealth of user data at their fingertips. This data can provide insights to inform marketing strategies, boost customer satisfaction, retain and attract customers. The key, however, lies in the way marketers collect, analyze, and leverage that data to reach desired goals. Marketing analytics enables marketers to gain actionable insights that drive results.
This article reviews the basic concepts of marketing analytics, including best practices and tools..

Kubernetes provides the automation, orchestration and scalability necessary to maximize cloud ecosystems and productivity in modern companies. More than 5000 companies are now running Kubernetes in production. This article walks you through the main components of Kubernetes and gives you some tips on how to use it in production.