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A machine learning system goes far beyond just training a model. Real-world ML requires scalable infrastructure, robust data pipelines, and thoughtful system design.
AI is transforming industries, driving productivity and innovation, but also raising concerns about job displacement. As automation replaces human tasks, the ethical implications on employment and ...
Learning machines, thinking machines, intelligent machines… Have you ever wondered what is coming our way? Intelligent robots have been a topic in books and films for decades. One of the important ...
In recent times, generative AI has transformed the digital landscape, enabling systems to create art, music, and insightful text on demand. However, the conversation is rapidly shifting toward ...
Among the most exciting advancements in this field is the emergence of Multi-Agent Systems (MAS) powered by Generative AI. These systems are not merely about automating tasks; they represent a ...
This blog provides a structured approach to designing an enterprise-scale landing zone in the cloud. It explores key concepts, design patterns, and security best practices to ensure scalability, ...
Enterprise Architecture is not a static set of blueprints but a dynamic practice—an ongoing process of sensemaking, decision-making, and adaptation, much like guiding the flow of a river through ...
In November 2021 Intel released the 12 th generation Core processors for enthusiasts. These processors were soon followed by business-class devices with different variations of designs to meet ...
In this second article of the Enterprise Architecture for Business Model Innovation Series, a design think-based approach is presented for business model design. Design thinking is a user-centered ...
AI's ability to transform healthcare is undeniable, but concerns around data privacy, security, and transparency must be addressed to fully realize its potential without compromising patient trust.
Microsoft has still positioned SharePoint 2019 On-premises environment for custom solutions and applications that can be migrated over from business.
AI agents are redefining migration projects by automating discovery, planning, and execution, easing the strain of limited resources. While not generative AI, these task-focused tools offer ...
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