Editor’s Desk

Practical Guide to Natural Language Processing (NLP)

Analytics, Applications, Data Infrastructure, Editor's Desk, Enterprise Applications /

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. From sentiment analysis to language generation, NLP techniques play a crucial role in various applications such as customer service chatbots, social media monitoring, and machine translation. In this practical guide, we will explore […]

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The Evolution and Impact of Automation in the IT Sector

Editor's Desk, Process Control /

The concept of automation has gained significant traction across various industries, notably in the field of Information Technology (IT). It has become increasingly accessible and indispensable in IT operations owing to technological progress. In the realm of IT, automation refers to the utilization of technology to optimize and streamline operations, thereby reducing the reliance on

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Making it Big with- BIG DATA

Analytics, Editor's Desk /

Big data is propelling healthcare innovation. Researchers and healthcare providers can access vast amounts of patient data using electronic medical records, allowing them to develop more personalised treatment plans and improve patient outcomes. Furthermore, researchers are using big data to improve drug discovery and development by analysing large datasets to identify potential drug targets and

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How is Internet of Things (IoT) gearing up for the years to come

Editor's Desk /

In recent years, the Internet of Things (IoT) has gained a lot of attention in the technological community. IoT is the term used to describe how physical objects, such as cars, home appliances, and other objects, are connected to the internet so they can communicate and gather data. This connectedness develops a network of gadgets

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Navigating the Evolution of Cloud Storage Technologies

Automation & Control, Cloud, Data Infrastructure, Editor's Desk, Enterprise Applications, IT Tools & Infrastructure, Process Control /

In the realm of data management, the evolution of cloud storage technologies has been transformative, revolutionizing the way organizations store, access, and manage their data. From traditional storage solutions to modern cloud storage options like object storage, block storage, and file storage, each technology brings unique features, benefits, and use cases to the table. Understanding

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Unveiling the Power of Generative Adversarial Networks (GANs)

AI and ML, Analytics, Applications, Automation & Control, Cloud, Data Infrastructure, Editor's Desk, Enterprise Applications, IT Tools & Infrastructure, Process Control, Suggested Reads /

Generative Adversarial Networks (GANs) have emerged as a groundbreaking framework in the field of deep learning, capable of generating high-quality synthetic data that closely resembles real-world samples. In this article, we’ll explore the concept of GANs, their applications in generating realistic images, videos, and text, recent advancements in GAN technology, and potential future directions for

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AI in Healthcare: Opportunities and ChallAenges

AI and ML, Analytics, Applications, Automation & Control, Cloud, Data Infrastructure, Editor's Desk, Enterprise Applications, IT Tools & Infrastructure, Process Control /

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the healthcare industry, offering unprecedented opportunities to improve patient care, enhance medical decision-making, and accelerate scientific discoveries. However, along with these advancements come significant challenges, including ethical considerations and concerns about privacy, equity, and accountability. In this article, we’ll analyze the role of AI and machine

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Exploring the Intersection of Artificial Intelligence and Cloud Computing

AI and ML, Analytics, Applications, Automation & Control, Cloud, Data Infrastructure, Editor's Desk, Enterprise Applications, IT Tools & Infrastructure, Process Control, Security /

Artificial intelligence (AI) and cloud computing represent two transformative technologies that, when combined, create a powerful synergy driving innovation across various industries. As organizations seek to extract actionable insights from vast amounts of data, AI technologies like machine learning (ML) and natural language processing (NLP) are increasingly integrated into cloud services. Let’s delve into the

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Unleashing Scalability, Resilience, and Agility: Exploring Cloud

Applications, Cloud, Editor's Desk, Enterprise Applications, IT Tools & Infrastructure, Process Control, Security /

In the dynamic landscape of cloud computing, traditional monolithic architectures are giving way to cloud-native architectures and microservices design. These architectural approaches offer unparalleled scalability, resilience, and agility, empowering organizations to innovate rapidly and deliver high-performance cloud-based applications. Let’s delve into the principles of cloud-native architecture and microservices design, and explore how they enable these

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Cyber criminals increasingly favouring ‘low and slow’ stealth attacks

Analytics, Applications, Automation & Control, Cloud, Editor's Desk, Enterprise Applications, Security, Suggested Reads /

A “low and slow” approach to financially driven cyber attacks has overtaken ransomware as the chief attack vector for criminals seeking to extort money by stealth using crypto mining-based malware, according to research by British cybersecurity upstart Darktrace. According to Darktrace, throughout 2018 and into 2019 there had been increasing prominence of malware with crypto mining payloads,

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