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The Age of AI Automation

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  Redefining RPA and the Human Workforce Let’s face it: the “robots are coming for our jobs” mantra has been the stuff of futuristic anxiety since the term “automation” was first coined. Fast-forward to today, where Robotic Process Automation (RPA) has been humming along, quietly helping businesses automate repetitive tasks like invoice processing, data extraction, and employee onboarding. It’s the unsung hero of the corporate back office, promising to save time, money, and—if we’re being dramatic—human sanity. But as AI enters the picture with its shiny new toys like Agentic workflows and hyper-automation, RPA finds itself evolving from a handy sidekick to the protagonist of a much bigger story. The advent of AI-powered automation is not just about better bots. It’s about reshaping the way we think about work itself—and the humans who perform it. The AI Uplift Now is the time to got from Rules to Reasoning Traditional RPA is, in essence, a rules-based engine. Tell it “if this, then th
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How AI Agents Are About to Flip the Script on HPC

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  This is the series where I try to peek into the near future. Ladies and gentlemen, buckle up! SuperComputing 2024 isn’t just another HPC tech fest — this year’s gathering in Atlanta is shaping up to be a crystal ball for what’s next in the world of high-performance computing. And let me tell you, the most compelling part of that vision doesn’t involve faster chips or shiny new interconnects (though we’ll ogle those too). No, the real game-changer is the rise of AI agents and the way they’re poised to revolutionize the entire HPC horizontal across industries like healthcare, finance, automotive, life sciences, and manufacturing. Yes, AI agents — those diligent, tireless software entities — are about to make HPC smarter, faster, and more accessible than ever. Here’s how. The Healthcare Revolution Diagnoses at HPC Speeds Imagine a world where HPC isn’t just crunching genome sequences or simulating drug interactions — it’s actively collaborating with clinicians to diagnose and treat pati
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Comparison between OpenAI and OCI Gen AI Services — Pricing, Data Security, and Model Diversity

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  Disclaimer:  The information presented in this document is based on my personal work and does not reflect the views or opinions of my employer. When comparing enterprise-level AI services, both OpenAI and Oracle Cloud Infrastructure (OCI) offer robust solutions with distinct pricing models tailored to various business needs. OpenAI API Pricing: OpenAI provides access to its models through API usage, with costs determined by the number of tokens processed. A token typically represents a piece of a word, with 1,000 tokens approximating 750 words. For instance, the GPT-4o model is priced at $5 per million input tokens and $15 per million output tokens. Additionally, OpenAI offers a Scale Tier option, allowing enterprises to purchase input and output token units to manage higher throughput requirements. https://openai.com/api/pricing/ https://openai.com/api-scale-tier/ OCI Generative AI Service Pricing: Oracle’s OCI Generative AI service offers two primary consumption models: On-Demand I
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