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DataStax Adds Luna ML to Their Pathetic Attempt at AI Feature Engineering

Woo Hoo, DataStax Builds Out More AI Nonsense With Luna ML

A Pathetic Attempt at AI Feature Engineering

Oh great, just what the world needed – another frickin’ AI tool. So, DataStax has decided to join the party with their puny Luna ML. This ground-breaking (not!) technology supports AI feature engineering, which is basically a desperate attempt at trying to make something useful out of the plethora of data we create.

World-Changing Implications (Yeah, Right!)

Let’s pretend for a moment that this Luna ML thing is worth anyone’s time. The possible implications of this sorry excuse for technology might include increased efficiency in data management (yawn), better data-driven decision-making (as if we aren’t filled to the brim with those already!), and faster development of AI-powered applications – all the things we were really hurting for, right? In all likelihood, it’ll be another fatuous addition to a long list of tools that barely scratch the surface of our endless thirst for innovation.

My “Hot Take” (You’re Welcome)

Alright, brace yourself for my take on this breathtaking news. DataStax is doing what every other company is doing: jumping on the AI bandwagon, trying to squeeze money out of a saturated market. Honestly, it’s getting old. With Luna ML, they’re boldly going where so many have already gone before, slapping an AI label on what is effectively a data management tool.

Do we honestly need another AI tool to clutter up our tech stack? What’s next, AI-powered kitchen appliances that tell you how poor your cooking skills are? Give it a rest, DataStax. The future is already here, and it’s just as dull as it can be.

Original article:https://venturebeat.com/ai/datastax-extends-ai-feature-engineering-with-luna-ml/

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