Author: Dr. Assad Abbas

Edge computing is changing how we process and manage data. Instead of sending all information to cloud servers, data is now handled directly on devices. This is a transformative advancement, especially for industries that depend on real-time responses, like healthcare, automotive, and smart cities. While cloud computing has enabled large-scale data handling, it falls short

Artificial Intelligence (AI) has made significant progress in recent years, transforming how organizations manage complex data and make decisions. With the vast amount of data available, many industries face the critical challenge of acting on real-time insights. This is where prescriptive AI steps in. Unlike traditional predictive models, which simply forecast outcomes based on past

Artificial Intelligence (AI) is transforming how businesses manage data, make decisions, and streamline daily tasks. SAP, a global leader in enterprise software, is leading this change. SAP has a bold vision for the future, aiming to embed AI into every part of business operations. This approach drives innovation, boosts efficiency, and achieves significant growth. By

Imagine managing a financial portfolio where every millisecond counts. A split-second delay could mean a missed profit or a sudden loss. Today, businesses in every sector rely on real-time insights. Finance, healthcare, retail, and cybersecurity, all need to react instantly to changes, whether it is an alert, a patient update, or a shift in inventory.

In recent years, Microsoft and OpenAI have emerged as leaders in the domain of artificial intelligence (AI), and their partnership has shaped much of the industry’s progress. Microsoft’s significant investments of nearly $14 billion since 2019 offered OpenAI access to Azure’s extensive computing resources, enabling rapid advancements in AI model development. These models have powered

Spreadsheets have been a core tool for data organization, financial modeling, and operational planning in businesses across industries. Initially designed for basic calculations and simple data management, their functionality has expanded as the need for data-driven insights has grown. Today, enterprises need real-time data analysis, advanced analytics, and even predictive capabilities within the familiar spreadsheet

Video production has always depended on human expertise and manual processes to create captivating content. From film studios to social media influencers, the need for high-quality videos has grown rapidly. However, with this demand comes the challenge of producing content quickly without losing quality. This is where Artificial Intelligence (AI) technology is making a big

Memory is one of the most fascinating aspects of human cognition. It allows us to learn from experiences, recall past events, and manage the world’s complexities. Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). They process and generate text that mimics human communication. This raises an important

The Artificial Intelligence (AI) chip market has been growing rapidly, driven by increased demand for processors that can handle complex AI tasks. The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning, and neural networks evolve. NVIDIA has been the dominant player in this domain for years, with its

Misinformation and conspiracy theories are major challenges in the digital age. While the Internet is a powerful tool for information exchange, it has also become a hotbed for false information. Conspiracy theories, once limited to small groups, now have the power to influence global events and threaten public safety. These theories, often spread through social