You're invited to our Quarterly Product Update Webinar. Explore product innovations and how we’re infusing #AI everywhere, enhancing governance, and enabling cloud journeys. SPACE IS LIMITED—click ‘Yes’ in top right: https://
ow.ly/A5C650PUbjx #AlteryxAiDIN #AlteryxMarketplace
SOFTWARE
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Quarterly Product Update Webinar: AI Innovation and Cloud Solutions
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Apache Spark Structured Streaming Technical Session Announcement
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Next week, we’re talking about all things Apache Spark Structured Streaming. Mark your calendars to join @MrSiWhiteley
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bit.ly/44NppBC -
End-to-End AI Software Management is Essential for Success
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Managing AI software end-to-end is crucial for success. Here's why. #AIManagement #Software Via @ingliguori
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Software Pricing Tiers: Letting Customers Share Value
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Software people frequently tie themselves up in knots over pricing tiers and whether they’re “justified” in charging the higher amounts, but a great deal of the point of them is just allowing customers to say “Yeah I get a lot of value from this and am happy to share some.”
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Tesla FSD Beta: 140M Lines of Code Transforming Autonomous Driving
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I wrote the above while being driven by a Tesla using the latest beta version of their FSD software. I understand has over 140 million lines of code, something no human brain could parse or even comprehend. But it is changing the world. And this is just one example.!
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T-shaped Software Engineers: Balancing Depth and Breadth in Programming
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George DeMet says, "When I'm thinking about a T-shaped person, say they're a software engineer, they're going to have a depth of knowledge in the different programming languages that they work with.
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Undergraduate students build innovative jumping robot with MATLAB
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Explore inspiring @MATLAB stories like how nine undergraduate students built this innovative jumping robot for their final project http://
spr.ly/6016uTJna #Robotics #Engineering -
Group Chats Enable Real Human Collaboration and Interaction
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Group Chats allow other people (real humans o.o ) to join in!
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TitanML Inference Server: LLM Output Control and Performance
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10 – TitanML presented by their CEO @MeryemArik9 and team, two demos of their takeoff Inference Server: 1. Controlling LLM outputs to fit a regex form 2. Performance of our rust inference server vs FastAPI website: https://
titanml.co profile: -
Building Active Learning Pipelines with DagsHub and Hugging Face
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6 – @TheRealDagsHub : presented by @barazida and team, they showcase how one can build an Active Learning pipeline in the DagsHub platform, with open-source tools and then deploy the model to Hugging Face https://
dagshub.com