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The Evolution of Expert Systems

How has Expert Systems Changed Over the Years? Expert systems have come a long way since their inception, evolving from early historical systems to advanced modern solutions.  These intelligent software applications have revolutionized the way businesses operate, providing invaluable insights and decision-making capabilities.  In the realm of business-to-business (B2B) Software as a Service (SaaS), expert systems have played a transformative role, empowering companies with enhanced efficiency, accuracy, and competitive advantage. Birth of Expert Systems: The birth of expert systems can actually be traced back to over 50 years ago, when researchers began exploring ways to replicate human expertise in a computational form, known as artificial intelligence (AI) and machine learning (ML).  Early expert systems relied on rule-based programming, where a set of rules and heuristics encoded the knowledge of human experts.  These knowledge-based systems were designed to mimic...
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How Modern Expert Systems are Transforming B2B SaaS Startups

The emergence of modern expert systems has had a profound impact on B2B SaaS startups, reshaping the way they operate and deliver value to their customers. How can expert systems save cost for SaaS Startups? Startups typically have limited financial resources, so financial planning and cost saving are top of mind.  Expert systems provide an avenue for reducing operational costs by automating labor-intensive tasks, minimizing the need for additional human resources, and lowering the risk of errors.  Moreover, these systems offer scalability-allowing businesses to handle increased workloads without significant investments in their workforce.  With expert systems, new B2B SaaS startups can save money while maintaining high-quality standards. How can expert systems enhance customer support and self-services? Furthermore, customer support and self-services are positively impacted by expert systems.   Using natural language processing and machine learning algorithms, ...
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Part I: The Power of Edge Computing and Real-World Case Studies

What is edge computing? Edge computing refers to the decentralized processing of data closer to the source, typically at the "edge" of the network, rather than relying solely on centralized data centers at other locations.  Wow, that is a mouthful of phrases.  What does all that mean?  It means that instead of sending all data to the cloud for processing, a significant portion of data processing, storage, and analysis takes place locally, near the devices and sensors that generate the data. In today's rapidly evolving digital landscape, where data is generated at an unprecedented rate, traditional cloud computing infrastructure faces limitations in terms of latency, bandwidth, and security.  Edge computing is a transformative paradigm that promises to revolutionize how data is processed and analyzed (aka speed up and improve efficiency and accuracy), giving new possibilities in modern computing and AI systems. How does modern edge computing reduce Latency?  One ...
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