I am currently at the Science Podcast Barcamp GanzOhr2024 in Leipzig. One key takeaway for me was the ongoing challenge in social media: balancing communication and reach. As a podcaster in the field of mathematics, I often post only content and no engagement bait. It even feels wrong, weird and spammy. All this algorithm fishing for the viral post. But everybody does it and recommends it. Should every post aim to maximize reach, or is there room for genuine, in-depth communication on say Instagram? Or maybe Instagram is a lost case for math communication anyways? For a podcast like Eigenraum, Mastodon seems to strike the balance just fine, but engagement bait must be very subtle there. Just content is fine and it feels good to focus on math, be subtle, be mysterious: https://lnkd.in/eHTGP4Ri (I can hear my imaginary social media advisor grinding their teeth) People tell me, I must always end with a call to action. So, how do you balance reach and communication in your social media strategy? #GanzOhr2024 #ScienceCommunication #MathematicsPodcast #ContentStrategy #SocialMedia
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Data Engineer | DBA DB2 zOS, ITIL, Azure AI and SQL Server MCSA Certified | AI Developer Python
And Piece by Piece I'm becoming a Python and IA developer too :) This is a quick demo about YouTube video transcription with AWS transcribe services and some possibilities! https://lnkd.in/dCmebVnB #MondragonAIServices #MondragonDataServices #Python #AWS #Youtube
POC Youtube Podcast Video to Transcript
https://www.youtube.com/
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🇺🇸🇮🇱 Ph.D. EE | Author | Fractional CTO | LLM, Generative ai, radar signal processing and Machine vision researcher | expert witness | Unapologetically Jewish, American patriot, Zionist and Israeli 🇺🇸 🇮🇱
Happy to share our new podcast website. Inside the website there will be a summary of each episode with main topics summarized, and often we will complement that with some deep dive into the math and some python code as a tutorial to learn and really grasp the concepts of the paper we're discussing. We hope that this will be useful for our community of listeners. The link to the website is in the first comment #datasciencedecodedpodcast #datascience #machinelearning #AI Michael(Mike) Erlihson Daniel Aronovich
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Watch Banias share the story of his 1st viral post - a simple list of Python dev tools that blew up! This accidental success launched his journey to becoming a tech content creator with 20K+ followers. Sometimes the simplest posts have the biggest impact! From the full podcast episode: https://lnkd.in/eiqxwWin #podcast #interview #tech #python #ia #programming
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Check out this podcast from dlthub's cofounders Adrian and Marcin!
Do you like to listen to podcasts? Marcin Rudolf and myself went on Tobias Macey's podcast, where we were just under a year ago, to talk about the progress dlt made in the last year and the direction we are going. Check it out! https://lnkd.in/ejVtadhJ
The Role of Python in Shaping the Future of Data Platforms with DLT
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Tune into our express edition of The Newzchain Podcast, where we spotlight the transformative tech of Abstra with Bruno Vieira Costa. This rapid session addresses the top 7 questions highlighting how Abstra's AI and Python technologies are pioneering changes in business automation. Experience firsthand the insights from Bruno on how even novice Python users can leverage Abstra to innovate and streamline business functions. This special edition packs a punch with crucial takeaways from our in-depth conversation. Listen Now - https://lnkd.in/gWvjgatT #Abstra #ExpressPodcast #TechInsights #StartupDiscussion #TheNewzchainPodcast
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Author of "Causal Inference & Discovery in Python" || Host at CausalBanditsPodcast.com || Causal AI for Everyone || Consulting & Advisory
Causality X Health? What's the biggest challenge in scaling causal inference models? On Monday, join me and my guest, Ehud Karavani (IBM Research), for the premiere of our conversation on causality in health. Ehud will share the experiences and challenges he faced on his causal journey. We will talk about Causallib - an open source Python causal inference library that Ehud created and people who impacted his career. Stay tuned for the premiere link on Monday or subscribe to get the link straight in your inbox: https://bit.ly/3z9rkGa With ❤️ from Causal Bandits Podcast
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At Itential, we believe automation must be practical to implement and operate – it allows you to take your existing automation work and build a system around it for scale. Dive into our latest Packet Pushers episode and learn: ✅The most important components of a network automation platform. ✅What you can achieve by integrating scripts with a platform approach. ✅ How to increase the value of scripts with secure publishing and sharing. ✅The value of delivering self-service, so that network consumers can request the services they need and get them when they need them. Listen now: https://bit.ly/46kQr4z #NetworkAutomation #Python #SelfService #NetworkEngineering
Itential @ Packet Pushers Podcast
https://www.itential.com
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In a recent episode of the Rust in Production podcast, PubNub’s CTO, Stephen Blum, shared how Rust has transformed PubNub’s systems with a 5x boost in memory efficiency and performance. Curious to hear more? Listen to Stephen’s insights and explore Rust’s impact on scalability and stability. 🎧👇
Stephen Blum, CTO of PubNub is calling Rust a multi-billion dollar language. In our conversation in the 'Rust in Production' podcast, Stephen explained why Rust is a game-changer for high-performance, scalable systems: - PubNub saw a 5x boost in both memory efficiency and performance when replacing a Python service with Rust - Rust is now the most popular language at PubNub, with all new services being written in it - Rust's memory safety and near-C performance make it attractive for large-scale, mission-critical systems - The Rust compiler's ability to catch common problems early in development increases overall system stability Direct link to that part of our chat: https://lnkd.in/eiN9TKsP #rustlang #podcast #engineering
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- 15 years of Go - Are memory regions the new memory arenas? - The runtime finalizer: rarely used, for a reason Also in the latest Applied Go Weekly Newsletter issue: - Podcast corner - Spotlight: When (not) to call package-level APIs - And More™ https://lnkd.in/dpTDuVYR #golang
1111 Years • The Applied Go Weekly Newsletter 2024-11-17
newsletter.appliedgo.net
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Certified SAP S/4HANA MM/EWM/ARIBA Consultant | Top Leadership Voice in Egypt | Content Creator Solopreneur (No Ghost Writers ) | Ex-IBM
Listen to my new podcast episode on Spotify and Apple Podcasts for the article "Loop Thinking to Life Thinking". Want to listen to something exciting about how to apply loop thinking to life? It is highly recommended. Link to the article: https://lnkd.in/dc9Se5Bt Follow my podcast for more episodes. LinkedIn LinkedIn Life #linkedin #linkedincontent #contentcreator #podcast #loopthinking #lifethinking #linkedinpost #linkedincommunity
Programming Loops Thinking To Life Thinking
podbean.com
Wissen teilen macht Freude - ganz besonders im Audio. Ich helfe bei der Entwicklung und Realisation von Podcasts.
6moCommunicating means trying... there is no perfect communication I'd say. But it's good to try. 🖖 Good to meet you in Leipzig!