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Showing posts with the label #MLOps

ML Sandwitch Model; AI Survival Note

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Ohh It is digital transformation, .. Really ?

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Recipe for the bot or 1 more digital transformation To be clear, while there are various bots that truely involve in disrupting/re-shaping industries to improve customer experiences drastically. are We doing Digital Transformation When making small incremental changes with Digital Worker aks Bot? Well There are organizations that claim that they are doing some sort of digital transformation but in reality, they might be just upgrading/introducing software, deciding between off-prem, on-prem, SaaS solutions. Well There are modern bots which can work      with 3rd party APIs and      with UI only. Today Who is responsible for defining and managing the organization’s Digital Transformation? What is being accomplished with Digital Transformation? Where does the Digital Transformation start and end? When is Digital Transformation relevant? Why Digital Transformation is happening? Tomorrow Who should be responsibl...

ML Project Development - The Anti Patterns #1

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Have MLOps Engineer instead of S/W Engineer

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Software Engineer after he starts MLOps😅, You should have MLOps Engineer 😇

One Egoistic Bot 😅

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#MicrosoftSecurity Bootcamp

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Just crushed another #MicrosoftSecurity Bootcamp sessions.

Zero Trust architecture for #ML Apps & Bots

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According to the cyber security r&d, By following below fundamentals; one can achieve 99% cyber hygine. Activate MFA - Multi-factor Authentication Practice Zero Trust Principles Keep up-to-date Use anti malwares Protect data (apply role based access)

Chaos Bots or ML Sorting Efficiency 🤔🙃

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Threats in LLM2 / GenAI , a note from NIST #MLOps #DevSecOps

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MLOps ≠ AIOps but MLOps ⊂ AIOps + DevOps

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However , MLOps goes parallel along with AIOps + DevOps. I had done couple of Open Source #MLOps and #AIOps projects We have applied tools and techniques for the AIOps, MLOps & DevOps ,  To setup and make these setup in your premises, Please, feel free to contact me on further progress in your project or consultancy.

Wow ML ❗

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The Gartner report on ML applications with Expectation vs Time.

MLOps - Machine Learning Operations

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To have these setup in your premises with MLOps Tools and Techniques, Please, feel free to contact me on further progress in your projects.

Bots and What Not !!

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These are very highly scalable Bots empowered by PaaS solution with MLOps and DevOps pipelines. To setup and make these simple deployments in your premises, We have RPA, MLOps & DevOps Tools, Frameworks and Techniques to apply for corporates. Please, feel free to contact me for further progress in your project or any consultancy.

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