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By Stevie Carpenter
Product development can often feel like racing toward a moving finish line. Projects often go over budget and deadlines are easily missed. Even worse, constant changes can turn a straightforward project into one doomed to fail. Project managers and scrum masters accept the perils of evolving project deliverables and timelines.…
By Nihad Bassis, Ph.D. Ind. Eng.
In the fast-paced world of business and technology, few concepts have had as profound an impact as artificial intelligence (AI). From enhancing decision-making processes to streamlining operations, AI has become a cornerstone of digital transformation, reshaping industries and driving innovation. This article explores how AI has revolutionized digital transformation, examining…
By Nihad Bassis, Ph.D. Ind. Eng.
Artificial intelligence (AI) is not merely reshaping industries, it is reconstructing the fundamental frameworks of economic productivity, labor dynamics, and market competition. While AI’s promise of enhanced efficiency and decision-making capabilities is well documented, its deeper implications on macroeconomic structures and geopolitical power shifts remain underexplored. The challenge lies not…
By Shenson Joseph
Introduction Agentic AI is an entirely new innovation in the line of AI-generated art. It is capable of goal-oriented, autonomous, and adaptable decision-making. Whereas earlier generations of AI were always confined to certain limits and took direct commands for maximum performance, Agentic AI designs do things on their own within…
By Gaurav Belani
The research paper “Big Data and Predictive Analytics: A Systematic Review of Applications” offers an extensive overview of BDPA advancements from 2014 to 2023. Big data and predictive analytics (BDPA) have helped many businesses across industries process information to forecast trends and actionable insights effectively. BDPA is, in fact, pivotal…
By Peng Zhang (Sub-Working Group Chair), Shu Zhao (Secretary), Chen Jing (Editor)
Introduction A scientific knowledge graph is a representative domain knowledge graph that focuses on scientific knowledge, takes scholars, periodicals, etc., as resources, and models their entities, attributes, and relations. Scientific knowledge graphs support applications such as technical insight, scholar profiles, and correlation mining of scientific knowledge. However, the normalization of…
By Rambabu Bandam
Artificial intelligence (AI) is rapidly transforming industries, influencing everything from business decisions to everyday life. Ensuring these AI systems are trustworthy, transparent, and reliable has become essential. This is where AI Observability steps in—providing systematic monitoring, analysis, and visualization of AI models throughout their lifecycle, ensuring they function as intended.…
By Ajit Daundkar
In today’s rapidly evolving technological landscape, AI-powered digital twin technology is emerging as a transformative force in cloud computing. By creating virtual replicas of physical systems, digital twins enable organizations to monitor, analyze, and optimize operations with unprecedented precision. When integrated with artificial intelligence, these digital counterparts offer predictive insights,…
By Paul Chaney
Q&A with Dhananjay Patil The latest trends in artificial intelligence (AI), data centers, avionics, and medical devices demand extremely high-speed data processing due to the rise in computational processing. As consumers appreciate the benefits of faster generative AIs, the demand for speed is expected to grow multifold. Fast data flow…
By Shenson Joseph
Generative AI refers to those algorithms that have the ability to create new content-image, text, music, or whatsoever-based on the patterns the algorithm learns from existing data. This technology has started to gain remarkable attention in recent times for its applications across different industries. On the other hand, edge computing…
By Loganandh Natarajan
In the healthcare sector, revenue cycle management (RCM) is a process—patient registration through billing, collections, and reimbursement. Traditional RCM systems, while essential to profitability, are paper-based systems that are prone to inefficiency and mistake. Manual processes generate higher costs, delayed turnaround, and ultimately lost income opportunities. Generative AI is changing…
By Jitender Jain
AI revolutionizes enterprise architecture by simplifying complex workflows and minimizing manual tasks to achieve greater scalability. The current business landscape requires organizations to manage massive data-driven operations which still depend on obsolete manual processes. Businesses can achieve greater scalability by using AI-driven automation which enhances efficiency and eliminates operational bottlenecks…
By Santosh Bhupathi
Introduction to Generative AI Generative AI (GenAI) represents a transformative leap in artificial intelligence, enabling machines to create human-like content, generate insights, and enhance decision-making across various domains. Unlike traditional AI models that classify or predict based on predefined patterns, GenAI leverages advanced machine learning techniques, such as deep learning…
By Pritesh Patel
Alert!!! This isn’t just another typical generative AI blog. It’s an opportunity to step beyond the basics and explore the lesser-known, often surprising aspects of what these models come up with when we step out of the room. Curious? Now imagine this. A generative model working silently in a data…
By IEEE Computer Society Team
Security verification for hardware is literally foundational: hardware resides on technology’s ground floor, so attacks on it can impact every floor above it, including operating systems, applications, and communications. To examine technology’s hardware foundation, a group of researchers recently used simulation-based hardware information-flow tracking (IFT) for hardware security verification. IFT…
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