Introduction Data Mesh is a decentralized data management paradigm designed to address the limitations of traditional centralized architectures like data warehouses and data lakes. Coined by Zhamak Dehghani in 2019,…
In the past, machine learning was a field reserved for data scientists and AI experts who spent years mastering programming, statistics, and algorithms. Today, thanks to AutoML (Automated Machine Learning)…
Introduction Data science has become the backbone of modern industries, empowering businesses to make data-driven decisions. With the integration of Artificial Intelligence (AI) and Machine Learning (ML), organizations can analyze…
Introduction Exploratory Data Analysis (EDA) is a fundamental step in data analysis, allowing data scientists to uncover patterns, detect anomalies, and validate assumptions before applying statistical models or machine learning…
Introduction Data science is revolutionizing healthcare, enabling early disease detection, personalized treatments, and better decision-making. With artificial intelligence (AI), machine learning (ML), anDatad big data analytics, doctors can predict diseases…
In the fast-evolving world of artificial intelligence, controversy is never far behind. The latest storm brewing around Grok, Elon Musk’s AI chatbot developed under xAI, has sparked heated debates about…
Introduction Shape Memory Alloys (SMAs) are smart materials that can “remember” and return to their original shape when exposed to heat or other stimuli. While they are widely used in…
Over the past decade, business intelligence (BI) has evolved rapidly. Data has become vast, cloud technology is mainstream, and interactive dashboards have replaced static spreadsheets. The rise of self-service analytics…
The potential of AI and data science to predict human behaviour is a rapidly evolving field, marked by significant advancements and ongoing debates about accuracy, ethics, and real-world applications. From…
In 2025, ethical AI is no longer a choice—it’s a necessity. A recent study found that over 60% of AI-driven hiring tools exhibit bias, disproportionately affecting marginalized groups. As AI…
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