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  • Agentic OCR: Beyond Traditional Document Automation

    Agentic OCR: Beyond Traditional Document Automation

    Nandan Mullakara

    Unstructured data has been one of the hardest problems in AI automation for years. In most enterprises, roughly 80 to 90 percent of data lives in documents, emails, forms, images, PDFs, and other formats that do not fit neatly into rows and columns. That is exactly where traditional document automation starts to struggle. Extracting data…

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  • Is Hermes Agent the Ultimate OpenClaw Killer?

    Is Hermes Agent the Ultimate OpenClaw Killer?

    Nandan Mullakara

    100 hours testing Hermes and OpenClaw (honest [results]

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  • Context Engineering: The Next Leap to Smarter AI Agents

    Context Engineering: The Next Leap to Smarter AI Agents

    Nandan Mullakara

    Artificial intelligence has come a long way, but there’s a new frontier that promises to revolutionize how AI agents think and perform. It’s not just about crafting better prompts anymore; the future lies in what’s being called context engineering. This emerging discipline transforms AI from a simple question-answering tool into a sophisticated system with a “memory,”…

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  • Automate AI Reports: How to Generate Powerful Reports Using Generative AI

    Automate AI Reports: How to Generate Powerful Reports Using Generative AI

    Nandan Mullakara

    A practical example of how you can transform an existing knowledge base into a tailored report using generative AI.

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  • 7 Practical AI Agent Use Cases That Are Changing the Game in 2025

    7 Practical AI Agent Use Cases That Are Changing the Game in 2025

    Nandan Mullakara

    A deep dive into seven practical AI agent use cases that are already making a difference

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  • Agentic Process Automation (APA): How AI Agents Are Redefining Automation

    Agentic Process Automation (APA): How AI Agents Are Redefining Automation

    Nandan Mullakara

    The enterprise automation landscape is experiencing a fundamental transformation, driven by AI agents and the convergence of traditionally separate automation technologies. For forward-thinking leaders in AI, IT, and digital transformation, this evolution represents a critical inflection point in how businesses operate amidst growing complexity. Based on our February 2025 report, Agentic Process Automation: How AI…

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  • Introducing Bot Nirvana Academy: Master the Future With AI Agents

    Nandan Mullakara

    We are thrilled to introduce Bot Nirvana Academy, your gateway to mastering AI agents and agentic technologies. AI agents are revolutionizing the way we work, unleashing a trillion-dollar opportunity that demands your attention. In response to overwhelming requests for comprehensive AI agent training, we’ve created more than just a course – we’ve built an essential…

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  • Computer Use: The Next Big Thing in Automation? A Deep Dive Comparison

    Computer Use: The Next Big Thing in Automation? A Deep Dive Comparison

    Nandan Mullakara

    A new approach is emerging for Digital Automation. It’s right now called “Computer Use” and could disrupt the traditional landscape of Robotic Process Automation (RPA) and even the emerging Agentic automation methods like Agentic Process Automation (APA). This novel automation concept developed by Anthropic uses a Large Language Model (LLM) to carry out tasks on…

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  • Meta’s New Llama Stack: Powering The Next Gen AI Apps

    Meta’s New Llama Stack: Powering The Next Gen AI Apps

    Nandan Mullakara

    Introduction Meta unveiled the Llama Stack, a comprehensive suite of tools set to revolutionize the landscape of enterprise AI adoption at its Connect developer conference. This innovative stack represents a significant leap forward in making advanced AI capabilities more accessible and practical for businesses of all sizes to adopt the open-source Llama AI. The Llama…

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  • OCR 2.0: The Next Generation of OCR with LLMs

    OCR 2.0: The Next Generation of OCR with LLMs

    Nandan Mullakara

    As our visual world becomes more complex and diverse, traditional OCR systems are starting to show their limitations. Enter OCR 2.0 – a revolutionary approach using LLMs that promises to transform how we interact with visual information as proposed in this paper. The Evolution of OCR: From 1.0 to 2.0 OCR technology has come a…

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