Leveraging Intelligent Automation to Strengthen Security Operations Security teams are utilizing intelligent automation solutions to perceive, acknowledge to, and prevent threats swift and more faithfully. By combining AI-driven tools with existing systems, they lessen human workloads, augment incident response, and gain real-time insights—equipping them to stay ahead of unfolding cyber threats with elevated speed, precision, and proficiency. Read the full Blog here: https://articlefun.com/intelli....gent-automation-for-

Python 3.x: Cleaner Code, Faster Development


Python 3.x introduces modern features like f-strings for smoother formatting, type hints for preferable code simplicity, and strengthened Unicode support. It adds asynchronous programming with async/await, updates standard libraries, and eliminates outdated Python 2 elements, making code cleaner, facilitated, and more skillful for today’s developers.


Read the full Blog here: https://ramamtech.com/blog/whats-new-in-python-3-x



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Real-World TinyML: Techniques for Training ML Models on Edge Devices

TinyML brings the power of machine learning to ultra low-power devices, enabling smart functionality at the edge. This session explores practical techniques for training and optimizing ML models specifically for deployment on constrained hardware like microcontrollers and IoT sensors. How to manage memory, reduce model size and maintain performance while bringing real intelligence to the edge.

Read the Full Blog here: https://ramamtech.com/blog/how....-to-train-tinyml-mod

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From Manual to Magical: Automating the Music Supply Chain


A case study on automating the music download-upload process highlights how a music distribution company used automation tools to fetch new releases, tag metadata, and upload tracks to platforms like Spotify and SoundCloud. This reduced manual tasks, improved accuracy, ensured faster releases, and enhanced workflow efficiency across the distribution chain.

To know more, Click here; https://ramamtech.com/automati....ng-music-download-up


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The RPA Foundation: Mapping Processes or Mining Tasks?

Process Discovery and Task Mining are both key to successful RPA, but they serve different purposes. Process Discovery maps entire workflows across systems, offering strategic insights. Task Mining focuses on user-level activities for tactical automation. Choosing the right approach—or combining both—can significantly enhance RPA outcomes, scalability, and ROI.


Read the full Article here: https://ramamtech.medium.com/p....rocess-discovery-vs-